About UsAt Rox, we are dedicated to empowering individuals to achieve their greatest potential. Our innovative platform enhances sales efforts through autonomous revenue agents, allowing sellers to prioritize their expertise in selling. Just as coding agents transformed engineering, revenue agents amplify customer interactions.We are revolutionizing the revenue stack by developing the world’s first revenue operating system, encompassing everything from the application layer to systems of context. At Rox, we envision a future where humans evolve into orchestrators while agents handle the complete customer lifecycle.Our solutions support Global 2000 leaders across sectors such as banking, construction, and AI, partnering with industry giants like Ramp and Cognition.Our success stems from a united belief in our mission and an unwavering commitment to making it a reality.The TeamOur world-class team is the backbone of our innovative approach to redefining business operations.Our team members have:Founded and successfully exited companiesHeld top roles at Google, AWS, Confluent, and New RelicWon gold medals in international mathematics competitionsPublished groundbreaking research papersWe are proud to be backed by leading investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We meticulously focus on every detail, striving to ensure that each interaction not only helps sellers accomplish their tasks but also enhances their experience. We are relentless in our pursuit of excellence, always exploring new ways to delight our sellers.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs proactively and driving value even before they ask. Our commitment to continuous learning and self-improvement is unwavering.Action: Get it done.Execution is key; we prioritize thoughtful yet swift decision-making and immediate delivery. Trust is essential in our field, and we earn it through our actions.

About RoxAt Rox, we are dedicated to empowering individuals to excel in their work.Our innovative platform enhances seller performance with autonomous revenue agents that handle manual tasks, allowing sales professionals to concentrate on their primary role: selling. Just as coding agents exponentially increased engineering productivity, our revenue agents elevate customer engagement.We are revolutionizing the revenue landscape by developing the world’s first revenue operating system, integrating everything from the application layer to the system of context. At Rox, we envision a future where humans become orchestrators, while our agents efficiently manage the complete customer lifecycle.Rox serves Global 2000 leaders across sectors such as banking, hardware, construction, and sovereign AI, while also supporting prominent AI innovators like Ramp and Cognition.This success is built on a steadfast belief in our mission and an unwavering commitment to achieving it.Join Our TeamOur world-class team is the cornerstone of our success, tasked with redefining business operations.Team members have:Founded and exited successful startupsHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe are proud to be backed by top-tier investors, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft exceptional experiences.Every detail matters; we ensure that each interaction is optimized for the seller’s success and satisfaction. We strive for perfection and continuously seek ways to delight our users.Obsession: Commit without reservation.We are dedicated to our craft, proactively addressing customer needs and constantly improving our skills and products.Action: Deliver results.Execution is key; we prioritize thoughtful, rapid decision-making and immediate delivery, fostering a culture of trust.

About SolaceAt Solace, we believe that healthcare in the U.S. is in need of a radical transformation. The complexities of the current system leave 88% of adults lacking the necessary health literacy to navigate it independently. We are committed to simplifying this journey by connecting patients with expert advocates and equipping them with the tools they need to make informed decisions and achieve better health outcomes.Founded in 2022 and now a Series C startup, Solace is supported by leading investors including Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our dedicated and agile team is based in the U.S. and is rapidly expanding.Solace is not just another workplace; we are on a mission to redefine healthcare, which requires urgency, precision, and compassion. If you are eager to challenge yourself, enhance your skills, and contribute to meaningful work alongside a passionate team, you are in the right place. We thrive on intensity and embrace the challenges ahead.Read more in our Bloomberg funding announcement here.About the RoleIn this pivotal role at Solace, you will help build the data infrastructure that drives patient outcomes. As part of a dynamic and growing team, you will take on multiple responsibilities and work in a fast-paced environment. We are seeking a Data Engineer who excels at solving complex challenges with clean and maintainable code, and who thrives in a high-growth startup culture.In this position, you will be responsible for designing the architecture that supports our scalability goals. You will play a crucial role in developing our data platform, establishing frameworks, standards, and best practices that will shape our engineering ethos for years to come. Your contributions will ensure that our data is not only accessible but also trustworthy, reliable, and actionable—from raw data ingestion to sophisticated modeling.What You’ll DoDesign Scalable Data Pipelines: Create, build, and enhance scalable data pipelines utilizing Airflow, Python, dbt, and Snowflake, transitioning from fragile manual processes to robust, automated workflows.Manage Infrastructure as Code: Oversee and evolve our cloud infrastructure (AWS/GCP) with Terraform, ensuring security, reproducibility, and scalability of our platform.

Join our dynamic team at Dropbox as a Data Engineer specializing in Analytics Data Engineering. In this pivotal role, you will design and implement robust data pipelines that empower our analytics teams to derive insights and drive business decisions. You will work with cutting-edge technology and collaborate with cross-functional teams to ensure the integrity and efficiency of our data systems.

About UsAt Imprint, we are transforming the landscape of co-branded credit cards and financial products to be more innovative, rewarding, and brand-centric. We collaborate with distinguished companies such as Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch contemporary credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our platform seamlessly integrates advanced payment infrastructure, intelligent underwriting, and a user-friendly experience, enabling brands to offer impactful financial products without the need to operate as a bank.Co-branded cards represent over $300 billion in annual spending in the U.S., yet many are still reliant on outdated banking systems. Imprint stands out as the modern alternative: adaptable, technology-driven, and tailored for today’s consumers. Supported by renowned investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a top-tier team to revolutionize payment methods and foster brand growth. If you're eager to work in a dynamic environment, tackle challenging problems, and make a significant impact, we invite you to join us.Our TeamThe Data Engineering team at Imprint is tasked with developing and expanding the data infrastructure that underpins product innovation, analytics, operations, and machine learning throughout the organization. We are responsible for creating the pipelines, platforms, and processes that enable our stakeholders to trust and leverage data effectively.We are seeking a Data Engineer to advance our modern data architecture and deliver dependable, scalable data solutions. Your contributions will directly influence decision-making and innovation across various business areas—from financial operations to real-time personalization.

RDCCareers seeks a Principal Data Engineer to lead key data initiatives from its Austin, Texas office. This position shapes the company's data strategy and partners with teams across the organization to deliver solutions that support business goals. Role overview The Principal Data Engineer takes ownership of major data projects and provides technical direction for data architecture. The role involves working closely with colleagues from various departments to ensure data solutions align with organizational needs. What you will do Guide the design and implementation of data architecture Optimize and maintain data pipelines Collaborate with cross-functional teams to build data solutions Support efforts to improve analytical capabilities across the organization Location This role is based in Austin, Texas, United States.

About the Company:FastSpring stands as the premier ecommerce platform for SaaS, software, gaming, and digital product companies. We facilitate over 10 million transactions annually, empowering the sales growth of more than 3,500 businesses across 200+ countries, utilizing every major currency. Our innovative culture, entrepreneurial spirit, and commitment to growth set us apart.We prioritize creating an inclusive work environment and invest in the professional development of our team members. Our team comprises developers, technologists, and business professionals who are globally-minded, customer-focused, and driven by innovation.Founded in 2005, FastSpring is a privately held company headquartered in Santa Barbara, with additional offices in Amsterdam, Austin, Belfast, and Halifax.The Position:FastSpring is seeking a Staff Data Engineer to act as the technical architect and driving force behind our next-generation data platform. In collaboration with the Senior Data Product Manager, you will develop the high-performance infrastructure necessary to transform hundreds of millions of rows of transactional data into actionable insights for our sellers.This pivotal role involves technical leadership and is responsible for designing and implementing a modern data warehouse strategy that fosters real-time product innovation. You will connect complex transactional systems with the analytical requirements of our global clientele.

Join Storable as a Senior Data Engineer and be a part of our mission to revolutionize the storage industry. Our advanced platform is designed to empower businesses in managing, tracking, and expanding their self-storage operations. We are seeking a skilled Senior Data Engineer to enhance our data-driven team. At Storable, we harness the latest technologies to boost data efficiency, accessibility, and insights, enabling our teams to make informed decisions and foster significant growth. In this role, you will contribute to the development and maintenance of scalable data systems that underpin analytics, reporting, and product innovation. You will collaborate closely with senior engineers and cross-functional teams to ensure our data remains reliable, accessible, and actionable throughout the organization.

Kubra is hiring a Data Engineer based in Tempe, AZ. This position focuses on transforming raw data into actionable insights to support business decisions. The main responsibilities include building and maintaining the data infrastructure that powers analytics and reporting across the company. Key responsibilities Design and develop data pipelines to gather, process, and store information from multiple sources Maintain and improve existing data architectures to ensure reliability and strong performance Work closely with colleagues to deliver solutions that align with business objectives What to expect Hands-on experience with modern data technologies A collaborative team setting The chance to directly influence business outcomes through data work

Join 1upHealth as a Senior Data Engineer and play a pivotal role in enhancing our Core Data Platform. We are looking for innovative thinkers who are passionate about data and technology. Your expertise will help us drive the development of cutting-edge data solutions that empower healthcare providers and improve patient outcomes. In this fully remote position, you will collaborate with cross-functional teams to create scalable data architectures and solutions, ensuring data integrity and accessibility.

Join c-the-signs as a Lead Data Engineer and take charge of architecting, developing, and scaling our innovative healthcare data platform. In this pivotal role, you will spearhead the design of robust data pipelines, modernize our data architecture, and ensure the high-quality ingestion and transformation of clinical and operational data. You will work in close collaboration with product management, analytics, clinical informatics, machine learning, and engineering teams to deliver reliable, timely, and compliant insights.This hands-on leadership position is perfect for those who enjoy guiding technical direction while actively contributing code and assisting stakeholders in navigating complex healthcare data challenges.ResponsibilitiesArchitecture & StrategyLead the design and evolution of our cloud-native data platform primarily utilizing Google Cloud Platform, including BigQuery, Cloud Storage, Pub/Sub, Cloud Run, Airflow (Cloud Composer), and Healthcare API.Guide strategic decisions regarding multi-cloud or AWS interoperability when necessary.Establish and uphold data engineering best practices, coding standards, and architectural patterns.Pipeline DevelopmentConstruct scalable ETL/ELT pipelines employing dbt for transformations and Airflow for orchestration.Create ingestion pipelines for clinical and administrative data in HL7, FHIR, DICOM, and custom formats.Develop ingestion and transformation pipelines to facilitate AI/ML development and model training.Implement both streaming and batch dataflows using Pub/Sub, Dataflow, and serverless compute.Support or guide integrations with AWS-based partner systems or AWS-hosted data sources when necessary.Data Modeling & WarehousingDesign and maintain BigQuery datasets, semantic layers, and warehouse structures.Utilize industry standards such as FHIR resources for canonical healthcare models.Provide insights on data modeling and warehouse best practices across both GCP and AWS ecosystems.Data Quality, Observability & GovernanceImplement data quality frameworks, automated testing, and monitoring systems.Ensure adherence to HIPAA compliance and the appropriate handling of PHI/PII throughout all pipelines and cloud environments.Promote lineage, documentation, metadata governance, and adoption of dbt documentation standards.Leadership & CollaborationCollaborate with analytics, product, clinical informatics, and security teams to deliver high-quality, reliable data products.Offer oversight and technical guidance for multi-cloud data integrations with AWS-based systems or partners.Assist in recruiting and developing junior data engineers.

Join Leap as a Senior Data Engineer and be a key player in shaping the future of data-driven decision-making. In this role, you will design and implement data solutions that drive analytics and business intelligence initiatives. You will collaborate with cross-functional teams to gather requirements and translate them into scalable data architectures.

Are you a passionate Data Engineer ready to join a dynamic team? At CampMinder, we are looking for a Staff Data Engineer who will play a critical role in shaping our data infrastructure and analytics capabilities. You will collaborate closely with cross-functional teams to design, build, and maintain data pipelines that support our business goals. If you thrive in a fast-paced environment and are eager to work with advanced data technologies, we want to hear from you!

Role overview Bellese is seeking a Data Engineer II based in the United States. The position centers on building and maintaining data pipelines that drive business analytics and insights. Handling large datasets, the role requires attention to data integrity and ensures that analytics applications have reliable, accessible information. What you will do Develop and maintain data pipelines that serve analytics and reporting needs Process, clean, and analyze substantial volumes of data Ensure data accuracy, consistency, and accessibility for analytics teams Collaborate with cross-functional teams to design and implement data solutions Support stakeholder requirements by delivering dependable data infrastructure Collaboration and growth This role works closely with professionals from various disciplines to deliver data solutions that fit business goals. It provides opportunities to advance technical skills and contribute to projects using current data technologies.

Seer Interactive is a pioneering digital marketing consultancy dedicated to leveraging data, technology, compassion, and AI to positively impact our communities, including coworkers, clients, and neighbors. We are committed to uncovering and sharing the truth through the integration of millions of data points from both quantitative and qualitative sources, supported by responsible and human-centered AI. Our mission is to unlock potential for our communities, envisioning a world where informed decision-making is second nature.At Seer, we view AI as a transformative force for innovation, collaboration, and creativity. Regardless of your department, utilizing AI is integral to how we achieve smarter, faster, and more strategic outcomes for our clients. Our AI Council facilitates company-wide integration through education, purposeful implementation, and ongoing learning — ensuring AI becomes an embedded aspect of our operations and growth.If you are prepared to elevate others, challenge your own biases, commit to truth, and strive for continuous improvement—read on.Seer is a remote-first agency and a Certified B-Corp with team members nationwide. While this position is primarily remote, those who prefer an office environment can work from our headquarters in Philadelphia. We are only able to consider candidates located in the US who can operate during continental US hours.The Role: As the Data Engineering Lead at Seer, you will be the pivotal force behind our data platform. You will establish architectural directions, mentor fellow engineers, and maintain a hands-on approach by actively contributing code, not just reviewing it. Your leadership will be characterized by influence, expertise, and trust rather than direct reporting lines.At Seer, we integrate AI into our processes to provide more intelligent, rapid, and strategic solutions, as the modern marketing data landscape continues to evolve beyond traditional dashboards. You will play a crucial role in this evolution, designing platforms that enable strategists, analysts, and LLMs to query a unified source of truth and derive superior solutions more quickly. Additionally, you will elevate the engineering standards for your peers through mentorship, code reviews, and collaborative efforts.

Job OverviewJoin our dynamic team at qodeworld as an AWS Data Engineer. In this pivotal role, you will architect, develop, and sustain scalable data pipelines utilizing AWS technologies. Collaborate with technical analysts, client stakeholders, data scientists, and various team members to ensure the accuracy and integrity of data while optimizing storage solutions for both performance and cost-effectiveness. Your expertise with AWS native technologies and Databricks will be essential for efficient data transformations and processing.Key Responsibilities• Lead and support projects aimed at modernizing our data platform.• Design and implement robust, scalable data pipelines leveraging AWS native services.• Optimize ETL workflows to enhance data transformation efficiency.• Transition workflows from on-premise systems to AWS cloud, maintaining data quality and consistency.• Create automations and integrations to address data inconsistencies and quality concerns.• Conduct system testing and validation to ensure seamless integration and functionality.• Establish security and compliance measures within the cloud environment.• Validate data quality before and after migration, addressing issues related to completeness, consistency, and accuracy.• Collaborate with data architects and lead developers to document manual data movement and design automation strategies.Qualifications• A minimum of 10 years of experience in data engineering with a strong focus on AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).• Proven ability to design and implement data pipelines and ETL processes.• Strong analytical skills and attention to detail for data quality assurance.• Experience in cloud migration strategies and automation of data workflows.• Excellent collaboration skills to work with cross-functional teams and stakeholders.

Join Our Team as a Databricks Data EngineerAbout Horizon Industries LimitedHorizon Industries Limited is an innovative IT and Management Consulting firm located in the Washington, DC area. Established in 1996, we have transformed into a powerhouse of skilled professionals offering comprehensive IT consulting and management support to both public and private sectors.Our company culture thrives on core values that promote diversity, inclusivity, and a family-oriented environment.Position OverviewWe invite applications for the role of Databricks Data Engineer to join our dynamic team. This full-time position will involve supporting our diverse clientele. We prioritize your professional growth and success, empowering you to take on leadership roles within a collaborative team that values your contributions as integral to our clients' success.Your ResponsibilitiesDesign and implement end-to-end ETL/ELT pipelines, ensuring efficient data transformation and integration into our enterprise data ecosystem.Analyze and optimize ETL jobs, workflows, BI tools, and reporting processes.Resolve technical queries related to customization, integration, enterprise architecture, and functionality of data products.Develop cloud-based database and data warehouse solutions, primarily on AWS or Azure (GCP is a plus).Essential skills include proficiency in Python, SQL, Databricks, and AWS Data Services.Experience with message queuing, streaming data processing, and scalable big data storage solutions.Capable of managing and deriving insights from large, disparate datasets.Manipulate both structured and unstructured data for comprehensive analysis.Utilize data modeling tools and processes effectively.Aggregate and transform data from various datasets to create impactful data products.Contribute to an Agile software development lifecycle.

We are looking for an experienced and innovative Director of Data Engineering to lead our data engineering team at vibe. In this pivotal role, you will be responsible for overseeing the design, development, and implementation of our data infrastructure, ensuring it meets the needs of our growing organization.The ideal candidate will have a strong background in data architecture, cloud technologies, and team leadership. You will work closely with cross-functional teams to drive data strategy and enhance our data capabilities.

The OpportunityJoin Enigma at a pivotal moment as we prepare to unveil our next generation of small business intelligence products, informed by years of industry experience. We are in search of a seasoned Senior Data Engineer who will play a crucial role in shaping the future of these innovative products. Your contributions will significantly enhance the accuracy, scalability, and predictive analytics of our data platform, directly impacting our clients' key business strategies.The RoleAs a Senior Data Engineer, your primary responsibility will be to design, construct, and manage our foundational small business data product. You'll work closely with cross-functional teams to develop new product functionalities, starting from raw data sources, through scalable data pipelines and models, to the customer interface. Our culture emphasizes customer focus and complete ownership, measuring your success by the value delivered and the technical excellence of our product.What You’ll DoIdentify and address the unmet needs of our customers through thorough data exploration, prototyping, and evaluation, culminating in the development of robust and maintainable data pipelines.Construct scalable and maintainable data systems that narrate the stories of millions of U.S. small businesses, utilizing tools like Databricks SQL, PySpark, and MLFlow.Leverage our pioneering data infrastructure designed for iterative development and experimentation, utilizing Dagster for orchestration and LakeFS for data version control.Employ a data-driven, first-principles approach to problem-solving, favoring straightforward and elegant solutions while being capable of deploying advanced models and techniques when necessary.Motivate your colleagues to excel while nurturing a collaborative and supportive team environment.What Makes This Role Exciting?Ownership and Impact: Collaborate directly with customers and internal teams to develop product features in a high-trust environment.Technical Challenge: Solve complex data and engineering challenges, balancing innovation speed with scalability and reliability.Learning: Engage with unique, impactful data challenges that demand creative solutions and cutting-edge methodologies.