Full Stack Data Engineer
Chicago, IL
- Remote-first
- Website
- @synapticure 𝕏
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Synapticure
Synapticure provides personalized virtual care to people living with Alzheimer’s and related Dementia, Huntington's, Parkinson’s, ALS and other neurodegenerative diseases.
About SynapticureAs a patient and caregiver-founded company, Synapticure provides instant access to expert neurologists, cutting-edge treatments and trials, and wraparound care coordination and behavioral health support in all 50 states through a virtual care platform. Partnering with providers and health plans, including CMS' new GUIDE dementia care model, Synapticure is dedicated to transforming the lives of millions of individuals and their families living with neurodegenerative diseases like Alzheimer’s, Parkinson’s, and ALS.Our data team powers the insights behind patient care, operational efficiency, and innovation in clinical outcomes.
The RoleSynapticure is seeking a highly motivated and experienced Full Stack Data Engineer to join our growing data team. Reporting to the Head of Data, you’ll work cross-functionally with engineering, clinical, product, finance, and operations teams to drive data-informed decision-making across the organization.
You will own the full analytics lifecycle — from identifying data requirements and building pipelines, to modeling datasets, uncovering insights, and creating tools that help stakeholders act. Your work will directly influence strategic direction, improve patient outcomes, and unlock efficiencies across the company.
The ideal candidate is relentlessly curious, thrives in ambiguity, and combines strong technical fluency with thoughtful communication. You’ll play a key role in stewarding high-integrity, actionable data and building a culture of data literacy and continuous improvement.
Salary & BenefitsCompetitive salary commensurate with experienceComprehensive medical, dental, and vision coverage401(k) plan with employer matchingRemote-first work environment with home office stipendGenerous paid time off and sick leaveProfessional development support and career growth opportunities
The RoleSynapticure is seeking a highly motivated and experienced Full Stack Data Engineer to join our growing data team. Reporting to the Head of Data, you’ll work cross-functionally with engineering, clinical, product, finance, and operations teams to drive data-informed decision-making across the organization.
You will own the full analytics lifecycle — from identifying data requirements and building pipelines, to modeling datasets, uncovering insights, and creating tools that help stakeholders act. Your work will directly influence strategic direction, improve patient outcomes, and unlock efficiencies across the company.
The ideal candidate is relentlessly curious, thrives in ambiguity, and combines strong technical fluency with thoughtful communication. You’ll play a key role in stewarding high-integrity, actionable data and building a culture of data literacy and continuous improvement.
Job Duties – What you’ll be doing
- 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
Requirements – What we look for in you
- 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
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
We’re founded by a patient and caregiver, and we’re a remote-first company. This means our values are at the heart of everything we do, and while we’re located all across the country, these principles are what tie us together around a common identity:
- Relentless focus on patients and caregivers. We are determined to provide an exceptional experience for every patient we have the privilege to serve, and we put our patients first in everything we do.
- Embody the spirit and humanity of those living with neurodegenerative disease. Inspired by our founders, families, and personal experiences, we recognize the seriousness of our patients’ circumstances and meet that challenge every day with empathy, compassion, kindness, joy, and most importantly – with hope.
- Seek to understand, and stay curious. We start by listening to one another, our partners, our patients, and their caregivers. We communicate with authenticity and humility, prioritizing honesty and directness while recognizing we always have something to learn.
- Embrace the opportunity. We are energized by the importance of our mission and bias toward action.
Salary & BenefitsCompetitive salary commensurate with experienceComprehensive medical, dental, and vision coverage401(k) plan with employer matchingRemote-first work environment with home office stipendGenerous paid time off and sick leaveProfessional development support and career growth opportunities
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: AWS Data quality Data visualization dbt Engineering Finance GCP Google Cloud Looker Machine Learning Pipelines Power BI Snowflake SQL Statistics Tableau Testing
Perks/benefits: Career development Health care Startup environment Team events
Region:
North America
Country:
United States
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