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Experience Level
Senior
Qualifications
Proven experience as a Data Engineer or similar roleStrong proficiency in programming languages such as Python, Java, or ScalaExperience with big data tools like Hadoop, Spark, or KafkaSolid understanding of SQL and NoSQL databasesAbility to work independently and in a team-oriented environmentExcellent problem-solving skills and attention to detail
About the job
Jobgether is hiring a Remote Senior Data Engineer based in Columbia. This position centers on designing and building data solutions that support business growth. The role involves close collaboration with teams across the company to improve data pipelines and strengthen data architecture, making sure information moves smoothly and remains accessible.
Role overview
This engineer will focus on optimizing systems and solving complex data challenges. The work includes refining existing processes and introducing improvements that help the company use data more effectively.
What you will do
Design and implement scalable data solutions
Work with cross-functional teams to enhance data pipelines
Improve data architecture for better flow and access
Apply expertise in big data technologies to address technical challenges
Who we’re looking for
Experience with big data technologies
Strong problem-solving skills
Ability to collaborate with multiple teams
Innovative approach to optimizing data systems
About Jobgether
Jobgether is a forward-thinking company dedicated to transforming the way people connect with job opportunities. We prioritize flexibility and innovation, creating a remote work culture that empowers our employees to excel. Join us in our mission to bridge talent with opportunity in a rapidly changing job landscape.
Jobgether is hiring a Remote Senior Data Engineer based in Columbia. This position centers on designing and building data solutions that support business growth. The role involves close collaboration with teams across the company to improve data pipelines and strengthen data architecture, making sure information moves smoothly and remains accessible. Role ov…
Join Affinipay as a Senior Data Engineer and play a pivotal role in shaping our data-driven solutions. In this fully remote position, you will be responsible for designing and implementing robust data pipelines, optimizing data storage solutions, and ensuring data integrity across our platforms. Collaborate with cross-functional teams to analyze data requirements and deliver insights that drive business decisions.
Jobgether is looking for a Senior Data Engineer to join the team. This is a remote role based in Connecticut. Role overview This position focuses on designing, building, and maintaining data pipelines and architecture that scale as the company grows. The Senior Data Engineer will play a key part in shaping how data is collected, processed, and used throughout the organization. What you will do Design and develop scalable data pipelines Maintain and improve existing data architecture Support business decisions by ensuring reliable access to data Work to enhance product offerings through effective data solutions Location This is a fully remote position open to candidates based in Connecticut.
jobgether is looking for a Senior Data Engineer based in Illinois to join the team in a remote capacity. This position centers on building and maintaining data solutions that support business decision-making. Role overview The Senior Data Engineer will design and implement data systems to ensure information remains accurate and accessible. Working closely with colleagues from different departments, this role focuses on optimizing data pipelines and supporting reliable data flows across platforms. Key responsibilities Design and implement data architectures to support analytics and reporting Optimize and maintain data pipelines for efficiency and reliability Collaborate with cross-functional teams to support business needs Help shape data strategy and improve analytical tools and processes Location This is a remote role based in Illinois.
Join Jobgether as a Senior Data Engineering Lead in a fully remote position. We are seeking an experienced leader who will drive data engineering initiatives and manage a talented team of professionals. You will play a crucial role in shaping our data architecture, ensuring data quality, and implementing efficient data solutions that align with business goals.
Jobgether is seeking a Senior Data Engineer to join the team remotely from Arizona. This position centers on designing, building, and maintaining data pipelines and systems that support the company’s decision-making. Role overview The Senior Data Engineer will focus on developing and supporting the infrastructure needed for data-driven projects. The work directly supports business growth and helps the organization use data more effectively. What you will do Design and build data pipelines to support analytics and reporting Maintain and optimize data systems for reliability and performance Contribute to a data-driven culture by enabling access to high-quality information Location This is a remote position based in Arizona.
About Octave:Octave is transforming behavioral health care by establishing a new standard that promotes both high-quality service and accessibility. With a network of in-person and virtual clinics across multiple states, we provide evidence-based therapy for individuals, couples, and families. Our innovative partnerships with insurance providers aim to enhance affordability, ensuring that everyone can access the care they need. We are passionate about redefining care delivery and supporting our healthcare providers, ultimately building a sustainable system centered on equity, affordability, and effectiveness.About the Role:We are seeking a talented Senior Data Engineer with robust experience in building data platforms to advance our modern data architecture and lay the groundwork for our evolving AI and machine learning capabilities. This pivotal role merges data engineering with platform architecture and machine learning support, aiming to implement high-quality, scalable, and ethical AI applications. Collaborating closely with data scientists, analysts, and product managers, you will ensure our platform delivers reliable data pipelines, scalable analytics, and production-ready machine learning systems. You will also establish new architectural standards and best practices for fellow engineers. The ideal candidate possesses a systems-thinking mindset and enjoys hands-on building in fast-paced environments, with a fervor for creating dependable data infrastructure that accelerates the efforts of peers and partner teams.Key Responsibilities:Design, build, and sustain scalable systems for data ingestion, transformation, and storage, emphasizing testing and observability.Deploy frameworks, tools, and automation to enhance development velocity while maintaining safety.Develop comprehensive AI/ML workflows, covering source ingestion, preparation, training, tuning, experimentation, productionization, and integration with downstream systems (EHR modules, micro-services, dashboards).Facilitate iterative model development and monitor production operations, focusing on accuracy, drift, bias, fairness, and reproducibility.Promote a culture of continuous improvement and knowledge sharing through mentoring fellow engineers.
About LeafLinkLeafLink stands as the premier B2B cannabis platform, empowering licensed cannabis enterprises with a comprehensive suite of tools to enhance operational efficiency, facilitate purchasing from preferred brands, and foster growth. We unify thousands of cannabis brands, distributors, and retailers under one platform, revolutionizing how businesses in the cannabis sector operate. With a presence in over 30 markets across North America and processing more than $5 billion in cannabis wholesale orders annually, LeafLink sets the benchmark for industry collaboration and growth.Supported by renowned venture capital firms such as Founders Fund, Thrive Capital, Nosara Capital, and Lerer Hippeau, our team is committed to transforming the cannabis supply chain through innovative technology. LeafLink has been recognized in multiple prestigious rankings, including Inc. 5000’s ‘Top 5000 Fastest-Growing Private Companies’ and Fast Company’s ‘Top 10 Most Innovative Companies in Enterprise for 2020’, alongside major names like Amazon and Slack. Our accolades continue with Built In NYC’s ‘Best Places to Work in 2021’ and the 2024 Green Market Report Award for Best Fintech in Cannabis - and we’re just getting started!The RoleWe are on the lookout for a Senior Data Engineer to spearhead the advancement of our data platform and analytics infrastructure. This pivotal role involves designing and scaling systems that provide critical analytics, reporting, and operational insights across the organization.As a Senior Data Engineer, you will play a key role in shaping how data is modeled, transferred, and utilized across various departments. You will collaborate with engineering, finance, product, and operations teams to ensure our data platform is reliable, scalable, and adept at supporting essential decision-making processes.Your ResponsibilitiesLead the design and development of scalable data pipelines using Airflow, dbt, and Python.Guide the architecture and evolution of the company’s data platform.Create integrations across modern data stack tools including Fivetran, Redshift, and Sigma.Develop serverless data services utilizing AWS services such as Lambda.Collaborate with stakeholders to establish dependable data models and analytics datasets.Enhance pipeline reliability through rigorous testing, monitoring, and observability.Revamp legacy data processes and bolster automation across the platform.Mentor engineers and analysts on data best practices.
Join our innovative team at Jobgether as a Senior Data Engineer specializing in Artificial Intelligence. In this fully remote role, you will leverage your expertise in data engineering to design, develop, and optimize data pipelines that support AI applications. Collaborate with cross-functional teams to enhance data-driven solutions and contribute to impactful projects that drive business success.
Full-time|$155K/yr - $200K/yr|Remote|Denver, CO;San Francisco, CA;New York, NY;Los Angeles, CA;Seattle, WA;Toronto, Ontario, CAN - Remote
At Gusto, we are driven by a mission to empower the small business economy. We manage the complexities of payroll, health insurance, 401(k)s, and HR, allowing business owners to concentrate on what they do best: their craft and their customers.With teams based in Denver, San Francisco, and New York, we proudly support over 500,000 small businesses across the nation. We are committed to building a workplace that mirrors the diverse communities we serve.All full-time employees enjoy competitive base salaries, comprehensive benefits, and equity in the form of RSUs, as we believe that those who contribute to Gusto’s growth should also share in its success. Compensation packages are tailored to role, level, and location. Find out more about our Total Rewards philosophy.AI technology plays a vital role at Gusto. We encourage all team members to engage actively with AI tools relevant to their roles and to enhance their proficiency as technology evolves. Requirements related to AI experience will be evaluated during the interview process.The Data Engineering team is responsible for creating tools and systems that ensure Gusto's data is consistent, user-friendly, and actionable. Our mission is to empower teams to make data-driven decisions and deliver tailored experiences to our customers.We are in search of a Senior Data Engineer who can navigate loosely defined problems and drive them from conception to execution—this includes framing the issues, aligning stakeholders, and designing, building, and deploying robust data solutions. You will collaborate closely with analytics, product, and engineering teams to implement data strategies that yield significant business and customer outcomes.
Join the innovative team at BlueLabs, where we craft cutting-edge sports betting and casino solutions that deliver engaging digital experiences to countless players globally. Our fully remote workforce is driven by a shared passion for developing high-quality products that leverage technology. At BlueLabs, our core values of collaboration, curiosity, ownership, and a commitment to building meaningful solutions guide our endeavors.We are currently seeking a Senior Data Engineer to become an integral part of our Platform team. In this role, you will enhance our data infrastructure, empowering product, partner-facing, and compliance teams to provide reliable, real-time, data-driven experiences at scale.Technology StackOur technology stack is comprised of over 50 microservices developed in Go and Elixir, forming a highly efficient and scalable foundation for our operations. We utilize Apache Pulsar for event-driven messaging, Kubernetes for container orchestration, Google Cloud Platform for cloud infrastructure, PostgreSQL and SingleStore for both transactional and analytical storage, DBT for transformations and analytics engineering, and Flink and Spark for distributed data processing. Our core data modeling methodology is based on Data Vault 2.0.Our automated release process allows our lean engineering team to execute multiple deployments daily seamlessly. This automation encompasses everything from infrastructure provisioning to application deployment, including monitoring dashboard configurations and alert setups. The tools we employ include Terraform, Helmfile, and GitHub Actions.For monitoring, we rely on Grafana, Loki, and Mimir to track the performance and behavior of our platform, enabling us to automatically identify and escalate potential issues to relevant teams.As a forward-thinking technology company, we are committed to fostering a modern and agile tech environment that empowers our engineers to excel and shape the future of sports betting technology. Within the Elixir ecosystem, we are expanding our use of Broadway for stream processing and investing in internal platforms that harness the capabilities of the BEAM. Our commitment to exploring the potential of Elixir in the data domain remains steadfast, while we maintain a pragmatic, polyglot approach when necessary.About The RoleThe mission of our team is to support partner-facing teams across the organization by developing systems that enable them to deliver new features swiftly and efficiently. This position plays a pivotal role in our strategic transition from Go and Node to Elixir, representing not just a re-write but a comprehensive transformation aimed at enhancing the efficiency, scalability, and maintainability of our platform.
Join our innovative team at jobgether as a Senior AI Data Engineer, where you will play a critical role in developing cutting-edge artificial intelligence solutions. This fully remote position allows you to collaborate with top-tier professionals while contributing to transformative projects that utilize data engineering to drive our AI initiatives.
Are you a passionate data engineer with a focus on artificial intelligence? Join our dynamic team at jobgether as a Remote Senior AI Data Engineer. In this role, you will be responsible for designing and implementing advanced data processing systems that drive AI applications. This is a unique opportunity to work on cutting-edge technologies and collaborate with talented professionals from around the globe.
Join Mozilla as a Senior Data Engineer!At Mozilla, we are dedicated to crafting an internet that is better for everyone. As a key member of our Data Engineering team, you will be instrumental in managing the complete data lifecycle. Your role will involve transforming raw data into reliable models that empower our team to make informed decisions.In this position, you will bridge the gap between our technical systems and business needs, enhancing our data platform while ensuring that the data is easily accessible and trustworthy for other teams. Recent initiatives include launching a data catalog, enhancing data observability, and implementing a medallion architecture to ensure our data remains reliable and accurate.
Join Socure as a Senior Data Engineer and play a pivotal role in shaping our data-driven initiatives. In this fully remote position, you will leverage your expertise in data engineering to enhance our systems and processes, ensuring robust data management and analysis. Collaborate with cross-functional teams to develop cutting-edge solutions that drive our business objectives.
At Rezilient, we are revolutionizing primary care by enhancing accessibility to healthcare services, making them more efficient and user-friendly. Our pioneering CloudClinic model integrates virtual provider consultations with state-of-the-art technology, crafting a personalized digital healthcare journey that prioritizes patient-centered care. By optimizing care delivery and continuously broadening our specialty services, we empower our healthcare team to concentrate on patient wellness while ensuring the most comprehensive and accessible care available.We are in search of a proficient and meticulous Senior Data Engineer to design and manage the data infrastructure that supports our mission. This role involves collaborating with leaders in operations, clinical services, and engineering to transform disparate healthcare data into reliable, near-real-time insights. These insights are crucial for expediting patient care and maintaining a patient-centered focus. You will be responsible for creating scalable data pipelines and secure data platforms, as well as modeling core data domains and sharing well-documented datasets that enhance both patient and provider experiences. Your contributions will facilitate advanced analytics and reporting, directly impacting our operational efficiency and care delivery.
ezCater stands at the forefront of the food for work technology sector in the United States, seamlessly connecting businesses in need of workplace catering with a vast network of over 100,000 restaurants nationwide. Our innovative platform delivers flexible and scalable solutions, catering to everything from regular employee meals to special one-off events, all supported by our dedicated 24/7 customer service team. Additionally, we empower companies to efficiently manage their food budgets through a single, customizable platform. For our restaurant partners, ezCater drives growth by increasing their order volume and attracting high-value customers. We are proud to be backed by prominent investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille.Are you enthusiastic about harnessing the power of data? Are you ready to influence a rapidly expanding two-sided marketplace through data-driven insights? Do you have innovative ideas on how to empower data scientists within a billion-dollar organization to optimize workforce planning or predict real-time customer lifetime value? If so, we want to connect with you!The Data Technology team at ezCater is on an exciting growth trajectory! As we prepare for the future, data will remain a core strategic asset across the company—encompassing everything from advanced machine learning to business intelligence and data governance. Data is poised to be our key differentiator, driving significant impact within the $100 billion catering industry.We are looking for a Senior Data Engineer to join our dynamic team and tackle complex data and platform challenges that will help accelerate our business growth. The ideal candidate is a data aficionado who champions best practices in systems and architecture, and is dedicated to creating robust infrastructure that underpins accurate and efficient data. You will collaborate directly with executive stakeholders as we embark on an organization-wide data modeling initiative, making adaptability and the ability to translate business needs into technical solutions essential.
Join Machinify, a pioneering healthcare intelligence firm that excels in delivering exceptional value, transparency, and efficiency across the payment continuum for health plans nationwide. With over 85 health plans leveraging our expertise—including many of the top 20—and representing more than 270 million lives, we offer a fully configurable, AI-driven platform backed by top-tier knowledge. Our mission is to redefine possibilities within the healthcare industry, providing innovative solutions that enhance financial outcomes and reduce costs.As a Senior Data Engineer, your role will be fundamental in transforming raw external data into reliable, impactful datasets that inform payment, product, and operational decisions. You will collaborate closely with product managers, data scientists, subject matter experts, engineers, and customer teams to develop, scale, and optimize production pipelines, ensuring that data is accurate, observable, and actionable.Additionally, you will be instrumental in onboarding new customers by integrating their raw data into our internal models. Your data pipelines will empower the company’s machine learning models, dashboards, and core product experiences. If you thrive on managing end-to-end workflows, establishing data standards, and making a significant impact in a dynamic environment, this is the role for you.
Join our innovative team at Alvys as a Senior Data Engineer, where you will play a crucial role in transforming data into actionable insights. This position offers the flexibility of remote work and the opportunity to collaborate with a dynamic group of professionals dedicated to leveraging data for business success.
To ensure a safe application process, we advise all candidates to remain vigilant during their job search. Quanata will only communicate via email from the domain quanata.com. Any communication from other domains should be disregarded due to potential security risks.About UsAt Quanata, we are dedicated to revolutionizing the insurance landscape through context-driven solutions. Our team, composed of passionate professionals, thrives on innovation in technology, digital products, and branding. We combine top-tier talent from Silicon Valley with the steadfast support of our esteemed partner, State Farm.Discover more about our mission and initiatives at quanata.com Our Team Our world-class team includes data scientists, actuaries, engineers, designers, and marketers, all from premier companies globally. Together, we are crafting the future of context-based insurance solutions and experiences, recognizing that our success is rooted in our talented workforce.The RoleWe are seeking a Senior Data Engineer to enhance our team’s ability to deliver data science services and streaming data pipelines. In this role, you will develop data pipelines that consolidate information from various sources to assess insured risks, support data science models, and facilitate access to vital datasets for both our business and partners.Your Day-to-Day ResponsibilitiesDesign and implement robust data pipelines that integrate data from various sources to facilitate risk assessment and business intelligence.Develop streaming data pipelines utilizing Kafka and AWS services to support real-time data processing and informed decision-making.Create and manage data services that provide curated datasets to internal teams and external partners through APIs and scheduled deliveries.Enhance data science workflows by establishing infrastructure for model training, feature engineering, and production inference.Implement data quality frameworks, including validation, monitoring, and alerting, to maintain the integrity of our data assets.
Jobgether is hiring a Remote Senior Data Engineer based in Columbia. This position centers on designing and building data solutions that support business growth. The role involves close collaboration with teams across the company to improve data pipelines and strengthen data architecture, making sure information moves smoothly and remains accessible. Role ov…
Join Affinipay as a Senior Data Engineer and play a pivotal role in shaping our data-driven solutions. In this fully remote position, you will be responsible for designing and implementing robust data pipelines, optimizing data storage solutions, and ensuring data integrity across our platforms. Collaborate with cross-functional teams to analyze data requirements and deliver insights that drive business decisions.
Jobgether is looking for a Senior Data Engineer to join the team. This is a remote role based in Connecticut. Role overview This position focuses on designing, building, and maintaining data pipelines and architecture that scale as the company grows. The Senior Data Engineer will play a key part in shaping how data is collected, processed, and used throughout the organization. What you will do Design and develop scalable data pipelines Maintain and improve existing data architecture Support business decisions by ensuring reliable access to data Work to enhance product offerings through effective data solutions Location This is a fully remote position open to candidates based in Connecticut.
jobgether is looking for a Senior Data Engineer based in Illinois to join the team in a remote capacity. This position centers on building and maintaining data solutions that support business decision-making. Role overview The Senior Data Engineer will design and implement data systems to ensure information remains accurate and accessible. Working closely with colleagues from different departments, this role focuses on optimizing data pipelines and supporting reliable data flows across platforms. Key responsibilities Design and implement data architectures to support analytics and reporting Optimize and maintain data pipelines for efficiency and reliability Collaborate with cross-functional teams to support business needs Help shape data strategy and improve analytical tools and processes Location This is a remote role based in Illinois.
Join Jobgether as a Senior Data Engineering Lead in a fully remote position. We are seeking an experienced leader who will drive data engineering initiatives and manage a talented team of professionals. You will play a crucial role in shaping our data architecture, ensuring data quality, and implementing efficient data solutions that align with business goals.
Jobgether is seeking a Senior Data Engineer to join the team remotely from Arizona. This position centers on designing, building, and maintaining data pipelines and systems that support the company’s decision-making. Role overview The Senior Data Engineer will focus on developing and supporting the infrastructure needed for data-driven projects. The work directly supports business growth and helps the organization use data more effectively. What you will do Design and build data pipelines to support analytics and reporting Maintain and optimize data systems for reliability and performance Contribute to a data-driven culture by enabling access to high-quality information Location This is a remote position based in Arizona.
About Octave:Octave is transforming behavioral health care by establishing a new standard that promotes both high-quality service and accessibility. With a network of in-person and virtual clinics across multiple states, we provide evidence-based therapy for individuals, couples, and families. Our innovative partnerships with insurance providers aim to enhance affordability, ensuring that everyone can access the care they need. We are passionate about redefining care delivery and supporting our healthcare providers, ultimately building a sustainable system centered on equity, affordability, and effectiveness.About the Role:We are seeking a talented Senior Data Engineer with robust experience in building data platforms to advance our modern data architecture and lay the groundwork for our evolving AI and machine learning capabilities. This pivotal role merges data engineering with platform architecture and machine learning support, aiming to implement high-quality, scalable, and ethical AI applications. Collaborating closely with data scientists, analysts, and product managers, you will ensure our platform delivers reliable data pipelines, scalable analytics, and production-ready machine learning systems. You will also establish new architectural standards and best practices for fellow engineers. The ideal candidate possesses a systems-thinking mindset and enjoys hands-on building in fast-paced environments, with a fervor for creating dependable data infrastructure that accelerates the efforts of peers and partner teams.Key Responsibilities:Design, build, and sustain scalable systems for data ingestion, transformation, and storage, emphasizing testing and observability.Deploy frameworks, tools, and automation to enhance development velocity while maintaining safety.Develop comprehensive AI/ML workflows, covering source ingestion, preparation, training, tuning, experimentation, productionization, and integration with downstream systems (EHR modules, micro-services, dashboards).Facilitate iterative model development and monitor production operations, focusing on accuracy, drift, bias, fairness, and reproducibility.Promote a culture of continuous improvement and knowledge sharing through mentoring fellow engineers.
About LeafLinkLeafLink stands as the premier B2B cannabis platform, empowering licensed cannabis enterprises with a comprehensive suite of tools to enhance operational efficiency, facilitate purchasing from preferred brands, and foster growth. We unify thousands of cannabis brands, distributors, and retailers under one platform, revolutionizing how businesses in the cannabis sector operate. With a presence in over 30 markets across North America and processing more than $5 billion in cannabis wholesale orders annually, LeafLink sets the benchmark for industry collaboration and growth.Supported by renowned venture capital firms such as Founders Fund, Thrive Capital, Nosara Capital, and Lerer Hippeau, our team is committed to transforming the cannabis supply chain through innovative technology. LeafLink has been recognized in multiple prestigious rankings, including Inc. 5000’s ‘Top 5000 Fastest-Growing Private Companies’ and Fast Company’s ‘Top 10 Most Innovative Companies in Enterprise for 2020’, alongside major names like Amazon and Slack. Our accolades continue with Built In NYC’s ‘Best Places to Work in 2021’ and the 2024 Green Market Report Award for Best Fintech in Cannabis - and we’re just getting started!The RoleWe are on the lookout for a Senior Data Engineer to spearhead the advancement of our data platform and analytics infrastructure. This pivotal role involves designing and scaling systems that provide critical analytics, reporting, and operational insights across the organization.As a Senior Data Engineer, you will play a key role in shaping how data is modeled, transferred, and utilized across various departments. You will collaborate with engineering, finance, product, and operations teams to ensure our data platform is reliable, scalable, and adept at supporting essential decision-making processes.Your ResponsibilitiesLead the design and development of scalable data pipelines using Airflow, dbt, and Python.Guide the architecture and evolution of the company’s data platform.Create integrations across modern data stack tools including Fivetran, Redshift, and Sigma.Develop serverless data services utilizing AWS services such as Lambda.Collaborate with stakeholders to establish dependable data models and analytics datasets.Enhance pipeline reliability through rigorous testing, monitoring, and observability.Revamp legacy data processes and bolster automation across the platform.Mentor engineers and analysts on data best practices.
Join our innovative team at Jobgether as a Senior Data Engineer specializing in Artificial Intelligence. In this fully remote role, you will leverage your expertise in data engineering to design, develop, and optimize data pipelines that support AI applications. Collaborate with cross-functional teams to enhance data-driven solutions and contribute to impactful projects that drive business success.
Full-time|$155K/yr - $200K/yr|Remote|Denver, CO;San Francisco, CA;New York, NY;Los Angeles, CA;Seattle, WA;Toronto, Ontario, CAN - Remote
At Gusto, we are driven by a mission to empower the small business economy. We manage the complexities of payroll, health insurance, 401(k)s, and HR, allowing business owners to concentrate on what they do best: their craft and their customers.With teams based in Denver, San Francisco, and New York, we proudly support over 500,000 small businesses across the nation. We are committed to building a workplace that mirrors the diverse communities we serve.All full-time employees enjoy competitive base salaries, comprehensive benefits, and equity in the form of RSUs, as we believe that those who contribute to Gusto’s growth should also share in its success. Compensation packages are tailored to role, level, and location. Find out more about our Total Rewards philosophy.AI technology plays a vital role at Gusto. We encourage all team members to engage actively with AI tools relevant to their roles and to enhance their proficiency as technology evolves. Requirements related to AI experience will be evaluated during the interview process.The Data Engineering team is responsible for creating tools and systems that ensure Gusto's data is consistent, user-friendly, and actionable. Our mission is to empower teams to make data-driven decisions and deliver tailored experiences to our customers.We are in search of a Senior Data Engineer who can navigate loosely defined problems and drive them from conception to execution—this includes framing the issues, aligning stakeholders, and designing, building, and deploying robust data solutions. You will collaborate closely with analytics, product, and engineering teams to implement data strategies that yield significant business and customer outcomes.
Join the innovative team at BlueLabs, where we craft cutting-edge sports betting and casino solutions that deliver engaging digital experiences to countless players globally. Our fully remote workforce is driven by a shared passion for developing high-quality products that leverage technology. At BlueLabs, our core values of collaboration, curiosity, ownership, and a commitment to building meaningful solutions guide our endeavors.We are currently seeking a Senior Data Engineer to become an integral part of our Platform team. In this role, you will enhance our data infrastructure, empowering product, partner-facing, and compliance teams to provide reliable, real-time, data-driven experiences at scale.Technology StackOur technology stack is comprised of over 50 microservices developed in Go and Elixir, forming a highly efficient and scalable foundation for our operations. We utilize Apache Pulsar for event-driven messaging, Kubernetes for container orchestration, Google Cloud Platform for cloud infrastructure, PostgreSQL and SingleStore for both transactional and analytical storage, DBT for transformations and analytics engineering, and Flink and Spark for distributed data processing. Our core data modeling methodology is based on Data Vault 2.0.Our automated release process allows our lean engineering team to execute multiple deployments daily seamlessly. This automation encompasses everything from infrastructure provisioning to application deployment, including monitoring dashboard configurations and alert setups. The tools we employ include Terraform, Helmfile, and GitHub Actions.For monitoring, we rely on Grafana, Loki, and Mimir to track the performance and behavior of our platform, enabling us to automatically identify and escalate potential issues to relevant teams.As a forward-thinking technology company, we are committed to fostering a modern and agile tech environment that empowers our engineers to excel and shape the future of sports betting technology. Within the Elixir ecosystem, we are expanding our use of Broadway for stream processing and investing in internal platforms that harness the capabilities of the BEAM. Our commitment to exploring the potential of Elixir in the data domain remains steadfast, while we maintain a pragmatic, polyglot approach when necessary.About The RoleThe mission of our team is to support partner-facing teams across the organization by developing systems that enable them to deliver new features swiftly and efficiently. This position plays a pivotal role in our strategic transition from Go and Node to Elixir, representing not just a re-write but a comprehensive transformation aimed at enhancing the efficiency, scalability, and maintainability of our platform.
Join our innovative team at jobgether as a Senior AI Data Engineer, where you will play a critical role in developing cutting-edge artificial intelligence solutions. This fully remote position allows you to collaborate with top-tier professionals while contributing to transformative projects that utilize data engineering to drive our AI initiatives.
Are you a passionate data engineer with a focus on artificial intelligence? Join our dynamic team at jobgether as a Remote Senior AI Data Engineer. In this role, you will be responsible for designing and implementing advanced data processing systems that drive AI applications. This is a unique opportunity to work on cutting-edge technologies and collaborate with talented professionals from around the globe.
Join Mozilla as a Senior Data Engineer!At Mozilla, we are dedicated to crafting an internet that is better for everyone. As a key member of our Data Engineering team, you will be instrumental in managing the complete data lifecycle. Your role will involve transforming raw data into reliable models that empower our team to make informed decisions.In this position, you will bridge the gap between our technical systems and business needs, enhancing our data platform while ensuring that the data is easily accessible and trustworthy for other teams. Recent initiatives include launching a data catalog, enhancing data observability, and implementing a medallion architecture to ensure our data remains reliable and accurate.
Join Socure as a Senior Data Engineer and play a pivotal role in shaping our data-driven initiatives. In this fully remote position, you will leverage your expertise in data engineering to enhance our systems and processes, ensuring robust data management and analysis. Collaborate with cross-functional teams to develop cutting-edge solutions that drive our business objectives.
At Rezilient, we are revolutionizing primary care by enhancing accessibility to healthcare services, making them more efficient and user-friendly. Our pioneering CloudClinic model integrates virtual provider consultations with state-of-the-art technology, crafting a personalized digital healthcare journey that prioritizes patient-centered care. By optimizing care delivery and continuously broadening our specialty services, we empower our healthcare team to concentrate on patient wellness while ensuring the most comprehensive and accessible care available.We are in search of a proficient and meticulous Senior Data Engineer to design and manage the data infrastructure that supports our mission. This role involves collaborating with leaders in operations, clinical services, and engineering to transform disparate healthcare data into reliable, near-real-time insights. These insights are crucial for expediting patient care and maintaining a patient-centered focus. You will be responsible for creating scalable data pipelines and secure data platforms, as well as modeling core data domains and sharing well-documented datasets that enhance both patient and provider experiences. Your contributions will facilitate advanced analytics and reporting, directly impacting our operational efficiency and care delivery.
ezCater stands at the forefront of the food for work technology sector in the United States, seamlessly connecting businesses in need of workplace catering with a vast network of over 100,000 restaurants nationwide. Our innovative platform delivers flexible and scalable solutions, catering to everything from regular employee meals to special one-off events, all supported by our dedicated 24/7 customer service team. Additionally, we empower companies to efficiently manage their food budgets through a single, customizable platform. For our restaurant partners, ezCater drives growth by increasing their order volume and attracting high-value customers. We are proud to be backed by prominent investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille.Are you enthusiastic about harnessing the power of data? Are you ready to influence a rapidly expanding two-sided marketplace through data-driven insights? Do you have innovative ideas on how to empower data scientists within a billion-dollar organization to optimize workforce planning or predict real-time customer lifetime value? If so, we want to connect with you!The Data Technology team at ezCater is on an exciting growth trajectory! As we prepare for the future, data will remain a core strategic asset across the company—encompassing everything from advanced machine learning to business intelligence and data governance. Data is poised to be our key differentiator, driving significant impact within the $100 billion catering industry.We are looking for a Senior Data Engineer to join our dynamic team and tackle complex data and platform challenges that will help accelerate our business growth. The ideal candidate is a data aficionado who champions best practices in systems and architecture, and is dedicated to creating robust infrastructure that underpins accurate and efficient data. You will collaborate directly with executive stakeholders as we embark on an organization-wide data modeling initiative, making adaptability and the ability to translate business needs into technical solutions essential.
Join Machinify, a pioneering healthcare intelligence firm that excels in delivering exceptional value, transparency, and efficiency across the payment continuum for health plans nationwide. With over 85 health plans leveraging our expertise—including many of the top 20—and representing more than 270 million lives, we offer a fully configurable, AI-driven platform backed by top-tier knowledge. Our mission is to redefine possibilities within the healthcare industry, providing innovative solutions that enhance financial outcomes and reduce costs.As a Senior Data Engineer, your role will be fundamental in transforming raw external data into reliable, impactful datasets that inform payment, product, and operational decisions. You will collaborate closely with product managers, data scientists, subject matter experts, engineers, and customer teams to develop, scale, and optimize production pipelines, ensuring that data is accurate, observable, and actionable.Additionally, you will be instrumental in onboarding new customers by integrating their raw data into our internal models. Your data pipelines will empower the company’s machine learning models, dashboards, and core product experiences. If you thrive on managing end-to-end workflows, establishing data standards, and making a significant impact in a dynamic environment, this is the role for you.
Join our innovative team at Alvys as a Senior Data Engineer, where you will play a crucial role in transforming data into actionable insights. This position offers the flexibility of remote work and the opportunity to collaborate with a dynamic group of professionals dedicated to leveraging data for business success.
To ensure a safe application process, we advise all candidates to remain vigilant during their job search. Quanata will only communicate via email from the domain quanata.com. Any communication from other domains should be disregarded due to potential security risks.About UsAt Quanata, we are dedicated to revolutionizing the insurance landscape through context-driven solutions. Our team, composed of passionate professionals, thrives on innovation in technology, digital products, and branding. We combine top-tier talent from Silicon Valley with the steadfast support of our esteemed partner, State Farm.Discover more about our mission and initiatives at quanata.com Our Team Our world-class team includes data scientists, actuaries, engineers, designers, and marketers, all from premier companies globally. Together, we are crafting the future of context-based insurance solutions and experiences, recognizing that our success is rooted in our talented workforce.The RoleWe are seeking a Senior Data Engineer to enhance our team’s ability to deliver data science services and streaming data pipelines. In this role, you will develop data pipelines that consolidate information from various sources to assess insured risks, support data science models, and facilitate access to vital datasets for both our business and partners.Your Day-to-Day ResponsibilitiesDesign and implement robust data pipelines that integrate data from various sources to facilitate risk assessment and business intelligence.Develop streaming data pipelines utilizing Kafka and AWS services to support real-time data processing and informed decision-making.Create and manage data services that provide curated datasets to internal teams and external partners through APIs and scheduled deliveries.Enhance data science workflows by establishing infrastructure for model training, feature engineering, and production inference.Implement data quality frameworks, including validation, monitoring, and alerting, to maintain the integrity of our data assets.
