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Experience Level
Entry Level
Qualifications
Bachelor's Degree in Computer Science, Engineering, or a related field.5+ years of experience in data engineering or a related field. Proficiency in programming languages such as Python, Java, or Scala. Experience with data modeling, ETL processes, and data warehousing solutions. Strong understanding of cloud platforms, particularly AWS or Azure. Excellent problem-solving skills and ability to work collaboratively in a team environment. Strong communication and leadership skills.
About the job
Join our dynamic team as a **Lead Data Engineer** at Jobgether, where your expertise will play a pivotal role in shaping our data architecture and driving impactful data solutions. In this fully remote position, you will lead a team of skilled engineers, collaborating closely with cross-functional teams to design, implement, and optimize data pipelines and infrastructure that support our innovative products.
As a Lead Data Engineer, you will have the opportunity to leverage cutting-edge technologies and methodologies to enhance our data capabilities. Your leadership will guide the team in delivering high-quality data solutions that empower our organization to make data-driven decisions.
About Jobgether
Jobgether is a forward-thinking company dedicated to connecting talented professionals with exciting job opportunities. We prioritize innovation, collaboration, and a commitment to excellence, providing our team members with the tools and support they need to succeed in a flexible and inclusive work environment.
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, s…
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 exparteinc as a Lead Data Engineer, where you will play a pivotal role in shaping our data infrastructure and driving data-driven decision-making. In this position, you will lead a team of talented engineers to design, build, and maintain robust data pipelines and systems. Your expertise will help us leverage data to enhance our products and services.
WHO ARE WE?Launch Potato is a thriving digital media enterprise that engages over 30 million visitors each month through prominent brands like FinanceBuzz, All About Cookies, and OnlyInYourState.As a pioneer in connecting consumers with top-tier brands through data-centric content and technology, we are committed to innovation.With our headquarters in South Florida, our remote-first team spans over 15 countries, fostering a high-growth, high-performance culture that prioritizes speed, ownership, and measurable impact.WHY JOIN US?At Launch Potato, you’ll fast-track your career by taking charge of outcomes, driving impact, and collaborating with a global team of high achievers.
At AST SpaceMobile, we are pioneering the first and only global cellular broadband network in space, designed to seamlessly connect standard, unmodified mobile devices. Leveraging our extensive intellectual property and patent portfolio, we aim to bridge the connectivity gaps for the five billion mobile subscribers currently in service, and ultimately reach out to the billions still without access.Position OverviewWe are on the lookout for a Lead Data Engineer, a pivotal role that involves serving as a senior individual contributor akin to a Staff or Principal Data Engineer. You will take full ownership of analytics data architecture and engineering standards while being an integral part of a high-impact analytics team dedicated to fostering data-driven decision-making across satellite network planning, capacity, demand forecasting, network operations, and performance analytics.The Lead Data Engineer will be responsible for designing, building, and maintaining scalable, production-grade data pipelines and analytical infrastructure. This ensures that high-quality, reliable data is consistently available to support global planning and operational workflows. This role defines the ingestion, modeling, governance, and consumption of operational, network, and business data, transforming complex and diverse datasets into trusted, decision-ready analytics assets.While this position does not include direct people management, it carries substantial technical ownership and influence. As the Lead Data Engineer, you will drive architectural strategy, establish engineering best practices, and mentor analytics professionals, thereby enhancing data engineering maturity across the organization.
Full-time|On-site|South Carolina, South Carolina, United States
Role Overview qodeworld is looking for a Lead Data Engineer based in South Carolina. This position focuses on shaping and maintaining the company’s data architecture. The Lead Data Engineer will guide efforts to ensure data is accurate, accessible, and well-organized throughout the organization. What You Will Do Design, build, and maintain data systems and architecture Safeguard data integrity and reliability Work closely with teams across the business to support data-driven decision-making Help improve operational processes by making data more accessible and actionable Location South Carolina, United States
Full-time|Remote|Remote (United States of America)
Located in San Francisco, Arine is an innovative and rapidly expanding healthcare technology and clinical services firm dedicated to delivering the safest and most effective treatments tailored to the evolving needs of individuals.In the healthcare landscape, medications can sometimes do more harm than good. The mismanagement of drugs and dosages results in over $528 billion wasted annually in the U.S. healthcare system. Arine is transforming healthcare standards by addressing these challenges through our advanced software platform (SaaS). We leverage state-of-the-art data science, machine learning, AI, and deep clinical knowledge to create a patient-centered approach to medication management, facilitating the development and delivery of personalized care plans at scale for patients and their healthcare teams.At Arine, we are passionate about enhancing the lives and health of complex patients who significantly influence healthcare costs and have been historically difficult to reach. These individuals face a myriad of challenges, including complex medication prescriptions across various providers, chronic disease medication management, and barriers to accessing care. Supported by top healthcare investors and partnerships with leading healthcare organizations, we provide actionable recommendations and initiate clinical interventions that yield substantial health improvements for patients and cost savings for our clients.Why Choose Arine as Your Workplace?:Collaborative Team Culture - Our shared mission drives our collective efforts, inspiring us to excel in our work. We are passionately committed to the innovation necessary to lead in medication intelligence.Impactful Contribution to Healthcare - We are saving lives and empowering individuals to achieve better health outcomes.
About Us:Zora is a revolutionary on-chain social network that empowers individuals to express themselves freely, connect with a diverse community, and unlock the potential of their creativity. We are committed to utilizing cryptocurrency to create a more equitable ecosystem for creators, fundamentally reimagining the power of the internet.Our goal is to make Zora accessible to everyone through an engaging, user-friendly, and rewarding consumer application. Our mission is to ensure that creating online is both free and valuable.About The Role:We are seeking a talented Lead Data Engineer to develop the data infrastructure that fuels our Trade Platform. As our on-chain social network expands, it is essential to have robust data systems capable of processing billions of trading events, calculating real-time earnings, optimizing liquidity, and identifying the best trading opportunities for our users. You will be working at the intersection of blockchain data, high-volume trading systems, and consumer social products to establish the data foundation that supports our creator economy.This is a high-impact position where you will take ownership of the complete data architecture for trading, from analyzing blockchain events and user activities to delivering real-time analytics to millions of users.What You'll Do:Design and build scalable data pipelines for ingesting, processing, and transforming blockchain data, trading events, user activities, and market signals at high volumes with low latency.Architect and maintain data infrastructure that powers real-time trading analytics, P&L calculations, leaderboards, market cap tracking, and liquidity monitoring across the platform.Manage ETL/ELT processes that convert raw on-chain data from various blockchains into clean, reliable datasets used by product, engineering, analytics, and ML teams.Create and optimize data models and schemas that support both operational systems (providing live trading data) and analytical use cases (analyzing market dynamics and user behavior).Establish data quality frameworks that include monitoring, alerting, testing, and validation to ensure pipeline reliability and data accuracy at scale.Collaborate with backend engineers to design event schemas, data contracts, and APIs that facilitate real-time data flows between systems.Partner with product and analytics teams to understand data requirements and translate them into effective engineering solutions.
Full-time|Remote|Remote — McLean, Virginia, United States
Secret clearance requiredAbout AretumAretum is a forward-thinking organization dedicated to providing cutting-edge, technology-driven solutions to clients across the defense, civilian, and homeland security domains. Our teams thrive at the intersection of strategy, technology, and transformation, empowering agencies to tackle their most pressing challenges. We prioritize investing in our workforce and fostering a culture centered on collaboration, inclusion, and professional development.Job OverviewAs a federal consulting organization, Aretum requires its employees to handle Controlled Unclassified Information (CUI) and comply with relevant safeguarding and compliance protocols. All team members may also support proposal efforts, which may involve resume formatting, skill alignment summaries, participating in meetings, or contributing to solution development based on their expertise.Key ResponsibilitiesLead the development of data pipelines and platforms, including writing and reviewing high-quality production code.Oversee the complete delivery process for assigned pipelines and services.Design, enhance, and maintain ETL/ELT pipelines for large-scale data ingestion and transformation.Implement CI/CD practices and automated testing for data pipelines, ensuring integration tests, data validation, and release workflows are in place.Establish operational readiness for production data workflows.Optimize pipeline and storage performance and cost through tuning, partitioning, and right-sizing workloads within AWS GovCloud.Contribute to and apply modern data architecture patterns, including lakehouse methodologies.Support Department of Defense strategic initiatives and enterprise data modernization efforts through robust architectural implementation.Drive the creation and maintenance of data transformation roadmaps and technical documentation; assist with data maturity assessments and current-state analyses across various agency programs.Translate technical methodologies into clear, business-friendly frameworks and actionable recommendations.Collaborate with cross-functional teams and program offices to clarify data requirements, facilitate data-driven decision-making, and convert technical approaches into comprehensible business frameworks.Assist in delivering leadership priority initiatives (e.g., childcare forecasting, Military OneSource analytics, readiness dashboards) and design data solutions that effectively connect outreach efforts to program engagement and readiness outcomes for users with diverse technical expertise.
Join our dynamic team as a **Lead Data Engineer** at Jobgether, where your expertise will play a pivotal role in shaping our data architecture and driving impactful data solutions. In this fully remote position, you will lead a team of skilled engineers, collaborating closely with cross-functional teams to design, implement, and optimize data pipelines and infrastructure that support our innovative products.As a Lead Data Engineer, you will have the opportunity to leverage cutting-edge technologies and methodologies to enhance our data capabilities. Your leadership will guide the team in delivering high-quality data solutions that empower our organization to make data-driven decisions.
Join our innovative team at jobgether as a Remote Lead Data Engineer. In this pivotal role, you will spearhead our data engineering initiatives, collaborating with cross-functional teams to design and implement robust data pipelines and architectures that drive insights and support decision-making.Your expertise will contribute significantly to our data strategy, ensuring the scalability and efficiency of our data solutions. If you are passionate about data and eager to lead a talented team, we want to hear from you!
Join our dynamic team as a Remote Data Engineering Lead at Jobgether. In this pivotal role, you will spearhead the development and optimization of our data systems, ensuring robust data architecture and analytics solutions that drive business growth. Collaborate closely with cross-functional teams to design innovative data strategies that align with our organizational goals.
Role overview Atticus seeks a Lead Data Engineer to shape and deliver the data infrastructure that powers analytics and business intelligence. This position is fully remote and centers on both hands-on technical work and team leadership. What you will do Design and build data processing frameworks to support analytics and reporting needs Guide and mentor a team of data engineers and analysts Ensure the delivery of reliable, high-quality data solutions across the organization Work closely with stakeholders to understand business requirements and provide data support
Join jobgether as a Lead Data Engineer in a fully remote capacity. You will play a pivotal role in guiding our data engineering team, ensuring that our data infrastructure is robust, scalable, and efficient. Collaborate with cross-functional teams to design, implement, and optimize data pipelines that drive business insights and decisions.
Join Jobgether as a Data Engineering Lead and take charge of driving innovative data solutions in a fully remote environment. In this pivotal role, you will lead a team of skilled data engineers, collaborating to develop and maintain robust data pipelines and architectures that empower data-driven decision-making across the organization.Your leadership will be crucial in guiding the team to enhance data accessibility and usability, ensuring that our data infrastructure meets the growing needs of the business. This position offers the flexibility to work from anywhere while making a significant impact on our data strategy.
Jobgether is looking for a Lead Data Engineer who will work remotely from anywhere in the United States, including Florida. This position centers on building and maintaining data pipelines and architectures that support the company’s analytics and decision-making. Role overview The Lead Data Engineer will design, develop, and manage systems that move and organize data efficiently. The work involves collaborating with teams across the company to ensure data is accurate, accessible, and ready for analysis. What you will do Create and maintain scalable data pipelines Develop architectures that support data collection and analysis Work with cross-functional teams to ensure data is reliable and available Apply best practices in data management and engineering Requirements Experience leading or significantly contributing to data engineering projects Strong background in designing and maintaining data pipelines and architectures Ability to collaborate with technical and non-technical teams
WHO ARE WE?Launch Potato is a thriving digital media enterprise that engages over 30 million visitors monthly through dynamic brands including FinanceBuzz, All About Cookies, and OnlyInYourState.As the Discovery and Conversion Company, our mission is to connect consumers with top-tier brands through insightful, data-driven content and cutting-edge technology.With our headquarters in South Florida and a remote-first culture spanning over 15 countries, we nurture a high-performance environment that values speed, ownership, and measurable results.WHY JOIN US?At Launch Potato, you will elevate your career by taking ownership of outcomes, working swiftly, and making a significant impact alongside a global team of high achievers.
Full-time|Remote|Remote — Dallas, Texas, United States
Tiger Analytics is a rapidly expanding advanced analytics consulting firm that specializes in delivering exceptional insights through Data Science, Machine Learning, and Artificial Intelligence. Our team possesses profound expertise, making us a trusted analytics partner for numerous Fortune 500 companies, empowering them to derive substantial business value from their data. Our leadership and contribution to the analytics field have been recognized by prominent market research firms such as Forrester and Gartner. We are on the lookout for outstanding talent to enhance our global analytics consulting team.As a Lead Data Engineer, you will play a pivotal role in architecting, constructing, and sustaining scalable data pipelines within the AWS cloud ecosystem. You will collaborate with diverse teams to facilitate data analytics, machine learning, and business intelligence projects. The ideal candidate will bring extensive experience with AWS services, Databricks, and Apache Airflow.
Join us at jobgether as a Lead Data Engineer, where you'll spearhead innovative data solutions and drive impactful projects that make a difference. This fully remote position offers the flexibility to work from anywhere while collaborating with a passionate team dedicated to transforming data into actionable insights.
About KKR & Co. Inc. KKR & Co. Inc. is a global investment firm with expertise in alternative asset management, capital markets, and insurance solutions. The firm manages funds in private equity, credit, and real assets, and works with partners who oversee hedge funds. KKR’s insurance subsidiaries, including Global Atlantic Financial Group, provide retirement, life, and reinsurance solutions. The company emphasizes disciplined investing and long-term growth for its portfolio companies and communities. Team: ADAPT Engineering The ADAPT (AI, Data, and Platform Technologies) Engineering team shapes KKR’s core data and AI capabilities. This group designs and supports the firm’s foundational data architecture, building platform-based solutions that drive agility and measurable business results. Their work supports KKR’s global scale and ongoing business transformation. Role Overview: Lead Data Engineer - Data Platform Based in Boston, MA, the Lead Data Engineer joins the core ADAPT Engineering team in a hands-on capacity. This position calls for deep experience in modern data engineering, especially with large-scale financial datasets. The role focuses on designing and implementing advanced data engineering solutions that streamline complex data pipelines, apply AI-driven insights, and enable smooth integration across cloud-based databases. This engineer will define and optimize the technical architecture for KKR’s data structuring, storage, and usage, ensuring high standards for data integrity, performance, and accessibility across the firm. Main Responsibilities Set and lead the enterprise strategy and target-state architecture for Data Explorer, enabling scalable, governed, and user-friendly data discovery, access, sharing, and reuse throughout KKR. Develop the long-term vision, design principles, and adoption framework for enterprise data exchange capabilities, covering metadata, semantic consistency, entitlements, lineage, interoperability, and trusted data product consumption. Act as the senior technical authority for data analyst agents, guiding the development of agentic capabilities.
