Data Engineer
nimble solutions · Chesterfield, MO · 2 mo ago
Information TechnologyFull-time
Key Responsibilities
- Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake
- Develop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards
- Write and optimize SQL queries for performance across large healthcare datasets
- Implement data governance, quality frameworks, and HIPAA compliance controls
- Collaborate with analytics, data science, and business teams to define data requirements
- Monitor and troubleshoot data pipeline health and performance
- Develop Python or Scala code for complex transformations and data processing
- Support Power BI and analytics teams with data modeling and performance optimization
- Document data lineage, transformations, and technical architecture
Qualifications
- 3+ years of professional data engineering or ETL/ELT development experience
- Expert-level SQL skills with proven optimization experience
- Proficiency in Python, Scala, or similar data processing languages
- Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)
- Understanding of healthcare data standards (HL7, FHIR, claims data structures)
- Strong grasp of data modeling, normalization, and schema design
- Experience with data versioning, CI/CD pipelines, and data quality frameworks