Top Remote Data Engineering Jobs

As a Senior Data Engineer, you'll transform raw data into datasets, design production pipelines, integrate customer data, and collaborate with various teams to ensure data quality and reliability.

Lead Data Operations team in evolving from SQL to modern data pipelines using Airflow and Spark, ensuring operational excellence and mentoring team members.

The role involves driving product strategy for data infrastructure, leading cross-functional teams, and implementing MLOps practices for data engineering solutions.

As a Data Engineer II, you will develop and operationalize data pipelines, manage data ingestion and transformation, and ensure data quality for analytics. You will also collaborate with DevSecOps for CI/CD and enhance data solutions.

Develops and operationalizes data pipelines, engages with DevSecOps, and ensures data quality for analytics at Centene.

Lead the Engagement Data Warehouse team, owning the vision for data products and managing a team of data engineers. Drive data roadmap, engineering excellence, and foster team culture within data-intensive systems.

Lead strategy, delivery, reliability, and adoption of enterprise data platforms for research and clinical workflows. Build and scale cloud data architectures, enforce governance (metadata, lineage, catalog), ensure GxP and regulatory compliance, drive analytics and AI/ML readiness, manage teams, budgets, vendor relationships, and operational excellence to enable reproducible, traceable scientific analysis and production-grade analytics.

The Data Solutions Architect will lead architectural design for data integration services, ensuring data accessibility, developing solutions in collaboration with teams, and managing transition and training initiatives.

The Epic Integration Analyst focuses on implementing and optimizing EMR integrations, particularly with Epic Aura, ensuring data exchange quality and interoperability with external healthcare systems.

The Senior Data Engineer will design, build, and evolve data pipelines and models, collaborating across teams to solve complex business problems while ensuring data privacy and hygiene.

The AVP Product Engineer - AML is responsible for the development and enhancement of AML products, collaborating with compliance and risk teams, and utilizing machine learning for detection of suspicious activities.

The Data and Systems Architect will design and manage cloud-based data platforms, focusing on performance and cost efficiency while ensuring scalable architecture.