Full Stack Data Engineer

Summary

Join Synapticure's growing data team as a Full Stack Data Engineer and contribute to data-informed decision-making across the organization. You will own the full analytics lifecycle, from identifying data requirements and building pipelines to creating tools that help stakeholders act. Your work will directly influence strategic direction, improve patient outcomes, and unlock efficiencies. The ideal candidate is relentlessly curious, thrives in ambiguity, and combines strong technical fluency with thoughtful communication. You will play a key role in stewarding high-integrity, actionable data and building a culture of data literacy and continuous improvement. This is a remote-first role with minimal travel. Synapticure offers competitive salary and benefits, including comprehensive medical, dental, and vision coverage, 401(k) plan with employer matching, and generous paid time off.

Requirements

• Proven experience driving decision-making as a Data Engineer or similar role
• Experience working with CMS, clinical, or healthcare data
• Strong SQL skills and experience with the modern data stack (e.g., dbt, Snowflake, Looker)
• Proficiency with data visualization tools (e.g., Knowi, Tableau, Power BI, Looker)
• Experience applying machine learning to healthcare use cases such as patient stratification, care pathway optimization, and forecasting
• Familiarity with cloud platforms (e.g., AWS or Google Cloud)
• Ability to turn ambiguous business questions into structured analysis
• Effective communicator comfortable working across teams
• Detail-oriented, proactive, and eager to learn
• Team player with humility, curiosity, and a collaborative spirit

Responsibilities

• Partner with cross-functional teams to scope and execute high-impact analytical projects
• Build validated, documented, and QA-tested datasets from multiple source systems
• Design and build dashboards and tools for clinical, product, and operational visibility
• Conduct exploratory and statistical analyses to identify opportunities and insights
• Own the full data lifecycle: requirements → pipeline → modeling → visualization → insight
• Maintain high standards of data quality through robust documentation and testing
• Clearly communicate insights and recommendations to both technical and non-technical stakeholders
• Contribute to our internal knowledge base and support data literacy initiatives

Preferred Qualifications

• Prior experience in healthcare, health-tech, biopharma, or startup environments
• Familiarity with clinical workflows or neurodegenerative care
• Experience with value-based care, cohort analytics, and patient funnel metrics

Benefits

• Competitive salary commensurate with experience
• Comprehensive medical, dental, and vision coverage
• 401(k) plan with employer matching
• Remote-first work environment with home office stipend
• Generous paid time off and sick leave
• Professional development support and career growth opportunities