Top Healthtech Data Engineering Jobs

Seek a Lead Analytics Engineer to design and build scalable data solutions, oversee data engineering, and collaborate with cross-functional teams to meet data needs.

Develop and validate ML pipelines for long-term time series from wearable and clinical sensors. Use transfer learning from ECG models, implement DSP workflows, evaluate foundational time-series models, benchmark vs clinician-verified ground truth, and maintain reproducible code and biomarker datasets.

Ensure customer data accuracy and reliability by validating backend systems, querying and analyzing healthcare datasets, troubleshooting ingestion and orchestration failures, monitoring workflows, supporting customer technical discussions, documenting investigations, and collaborating across teams to deliver scalable data quality solutions.

The Senior Data Engineer will own and evolve data pipelines, collaborate with teams for data models and pipelines, optimize ETL processes, and implement data storage solutions.

As a Data Solutions Architect, you will collaborate with clients to define business requirements, showcase AcuityMD's data solutions, and drive commercial effectiveness in MedTech sales through data expertise and presentations.

The GTM Engineer will innovate and enhance GTM processes at EliseAI by leveraging AI and automating workflows while collaborating across various teams.

As a Senior Data Engineer, you will design and maintain data pipelines, define governance standards, and collaborate across teams to enhance Headway’s data architecture.

The Senior Data Engineer at HealthPartners will build, manage, and optimize data pipelines, collaborate with teams, design technology solutions, and ensure data reliability and quality while mentoring team members.

The Director of Scientific Computing Operations leads strategies for scientific computing platforms, driving innovation, lifecycle management, operational excellence, and stakeholder engagement in advanced analytics and AI capabilities.

Develop and implement data pipelines, tools, and visualizations to integrate and analyze multimodal nonclinical safety data. Partner with stakeholders, IT, and data science to enable data ingestion, curation, warehousing, QC, statistical and machine learning modeling, dashboarding, and reporting to drive mechanistic insights and hypothesis generation.

The Data & Integrations Engineer will architect, develop, and manage data integration workflows, ensuring effective real-time and batch data exchange for health system partners, while mentoring other engineers.