Top Healthtech Data Engineering Jobs

Support investment operations by building and maintaining scalable data infrastructure and pipelines, ensuring data integrity across investment systems, administering Dynamo/Canoe, reconciling data flows, and delivering analytics and dashboards using SQL, Tableau, and Python. Drive automation, CI/CD practices, and collaborate with Investment and Enterprise Data Analytics teams to optimize processes and produce actionable reporting.

Lead design, build, and support of cloud-based ETL, data warehousing, and reporting solutions. Develop/optimize ETL pipelines, data models, and queries; deploy containerized services on Kubernetes; automate workflows; mentor teammates; collaborate with architects, data scientists, and stakeholders to deliver scalable analytics and reporting products.

Manage and mentor a team of data scientists and engineers, guide development and delivery of ML/AI solutions, ensure best practices, collaborate with stakeholders, and align data science work with business objectives.

Design, implement, optimize, and maintain scalable, high-availability database solutions for a SaaS healthcare product. Integrate client data, resolve complex data issues, refactor systems for Azure, optimize MSSQL performance, participate in code reviews, and deliver features within Agile/Scrum to ensure reliable, high-performance data services.

Lead the data organization to define data strategy, build scalable cloud-native pipelines, enable self-service analytics, drive AI/ML initiatives, and manage a multidisciplinary team to inform product, clinical, and business decisions.

As a Data Architect, you'll design, implement, and maintain data infrastructure, and lead the delivery of new data solutions in a collaborative environment.

The Senior Data Engineer will design and implement ETL pipelines in Snowflake, optimize data models, and mentor peers while handling sensitive healthcare data.

As a Senior Data Engineer, you'll design and optimize data systems and pipelines, lead integrations, ensure data quality, and collaborate with cross-functional teams to enhance data infrastructure.

Design enterprise-grade data solutions using Databricks and Azure, optimize data pipelines, ensure compliance, and lead integration architecture efforts.

Provide second-level support for EDI clients, troubleshoot issues, and script medical billing conversions to meet claims requirements using proprietary scripting techniques.