Interwell Health
Staff Data Engineer
Remote, United States · Staff+
Sponsorship not specifiedDetected 91 days ago
PythonDatabricksAzureCI/CDMachine LearningSparkdbtData EngineeringComplianceRoadmappingUnityHIPAAEpicHL7/FHIREHR/EMRLeadershipCommunicationCollaborationMentoringPublic Speaking
About the role
- Reporting to the Director of Data Engineering, the Staff Data Engineer serves as a senior technical leader responsible for shaping, scaling, and governing our modern data ecosystem.
- Our Tech Stack: Databricks, Delta Lake, Unity Catalog, Microsoft Fabric (OneLake, Lakehouse, Data Factory), Azure, dbt, Python, PySpark, Spark SQL.
- We value our differences and learn from each other.
Responsibilities
- Design and evolve a scalable, secure, cloud‑native lakehouse platform leveraging Databricks, Microsoft Fabric (OneLake, Lakehouse, Data Factory), and dbt.
- Lead design reviews and guide teams in adopting scalable architectural patterns.
- Drive long‑term platform strategy and evaluate emerging technologies.
- Develop modular ingestion, quality, lineage, metadata, and observability frameworks that scale across domains.
- Implement HIPAA‑aligned access patterns and secure handling of PHI.
- Lead Cross functional initiatives that modernize and unify the organization's data ecosystem.
- Drive roadmap planning, platform evolution, and long - term data strategy.
- Advanced data platform architecture and Lakehouse design expertise.
- Demonstrated ability to design modular, extensible frameworks and guide the long-term evolution of enterprise data platforms.
- If there is a better way, we will create it.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 7+ years of experience in data engineering.
- 2+ years operating in a senior or staff level engineering role.
- Deep hands-on proficiency with Databricks, Spark, Delta Lake, dbt, and Python.
- Hands on experience with Data Engineering, Data Factory, Lakehouse, OneLake.
- Experience working in HIPAA regulated environments and handling PHI.
- Experience with platform reliability, CI/CD for data pipelines, and infrastructure as code.
Nice to have
- Proven ability to design and operate largescale cloud data platforms (Azure preferred).on experience with
Skills
- Databricks, Delta Lake, Unity Catalog, Microsoft Fabric (OneLake, Lakehouse, Data Factory), Azure, dbt, Python, PySpark, Spark SQL.
Benefits
- Deep experience with Databricks, Python, dbt, and Microsoft Fabric, along with strong fluency in healthcare data and compliance standards, is essential.
- Design and implement batch and streaming data pipelines for healthcare data sources (EHR, claims, HL7/FHIR, APIs, flat files, databases)
- Produce clean, analytics‑ready datasets and data models for BI, analytics, and machine learning workloads.
- Partner with product managers, data scientists, analysts, clinicians, and business stakeholders to translate healthcare data needs into scalable solutions.
- Healthcare data fluency, including regulated data handling and compliance.
Company info
- We are on a mission to help people and we know the work we do changes their lives.
- So, if our mission speaks to you, join us!
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This listing is sourced directly from Interwell Health's careers page and normalized into a canonical job model.