About the role
Our client is looking for a hands-on Staff Data Engineer who's ready to help shape and scale a modern enterprise data platform. This is a mission-driven healthcare organization using data to improve clinical, operational, financial, and patient outcomes.
This is a 100% remote opportunity (ET or CT working hours preferred.) If you have deep Databricks experience and want to take technical ownership of a large-scale healthcare data ecosystem, this is it.
Day-to-day:
- Designing and evolving a scalable, cloud-native lakehouse architecture using Databricks, Delta Lake, dbt, Python, and Azure
- Building batch and streaming pipelines across EHR, claims, HL7/FHIR, APIs, databases, and other healthcare data sources
- Developing scalable frameworks for data ingestion, quality, lineage, metadata, and observability
- Producing analytics-ready datasets and models for BI, analytics, and machine learning
- Driving data platform architecture, governance, reliability, performance, and long-term strategy
What you bring:
- 7+ years of Data Engineering experience, including 2+ years at Senior or Staff level
- Deep hands-on expertise with Databricks, Spark/PySpark, Delta Lake, dbt, Python, and SQL
- Strong experience designing and operating large-scale cloud data platforms, ideally within Azure
- Advanced lakehouse architecture and distributed data processing experience
- Experience building modular, scalable data pipelines and engineering frameworks
- Healthcare data experience, including HIPAA, PHI, EHR, claims, and/or HL7/FHIR
- Strong technical leadership, architecture, mentoring, and cross-functional communication skills
- Experience with CI/CD, data platform reliability, and infrastructure as code
Preferred:
- Epic integrations, Cogito Cloud, Caboodle, and Clarity experience
Interested? Apply here or send your resume to Ellena Yeo at ellena.yeo@talentinternational.com
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