Staff Data Engineer
New
I
Interwell HealthHealthcare
Remote, United States, ET or CT work hours preferredFull-TimeStaff
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 7+ years of experience in data engineering, including 2+ years in a senior or staff level engineering role.
- Required Skills
- PythonAzureData engineeringSparkdbtDatabricksHIPAA
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.
- Proven ability to design and operate large-scale cloud data platforms (Azure preferred).
- Hands-on experience with Data Engineering, Data Factory, Lakehouse, and OneLake.
- Advanced data platform architecture and Lakehouse design expertise.
- Demonstrated ability to design modular, extensible frameworks and guide long-term platform evolution.
- Strong command of distributed data processing and cloud-native engineering.
- Experience working in HIPAA-regulated environments and handling PHI.
- Healthcare data fluency, including regulated data handling and compliance.
- Experience with platform reliability, CI/CD for data pipelines, and infrastructure as code.
Responsibilities
- Design and evolve a scalable, secure, cloud-native lakehouse platform leveraging Databricks, Microsoft Fabric, and dbt.
- Define modeling patterns, governance frameworks, and engineering best practices across the data lifecycle.
- Lead design reviews and guide teams in adopting scalable architectural patterns.
- Design and implement batch and streaming data pipelines for healthcare data sources including EHR, claims, and HL7/FHIR.
- Develop modular ingestion, quality, lineage, and observability frameworks.
- Implement HIPAA-aligned access patterns and secure handling of PHI.
- Architect Databricks workloads for reliability, performance, and cost efficiency.
- Partner with product managers, data scientists, and clinical stakeholders to translate data needs into solutions.
- Mentor senior and mid-level engineers through technical coaching.
View Full Description & ApplyYou'll be redirected to the employer's site
