Description:
Data Engineer
Chesterfield Office Hybrid or Remote
Why You'll Want to Join!
Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable insights. We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a Data Engineer to help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.
Position Overview
Lead the modernization of our data infrastructure as a Data Engineer for nimble. You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare dataโclaims, EMR/EHR, HL7/FHIRโinto actionable insights that drive revenue cycle optimization and clinical outcomes.
Why This Role Matters
Healthcare data engineering is mission-critical: clean, governed data flows directly impact financial accuracy, compliance, and the decisions that improve patient care. Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data.
Key Responsibilities
โข Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake
โข Develop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards
โข Write and optimize SQL queries for performance across large healthcare datasets
โข Implement data governance, quality frameworks, and HIPAA compliance controls
โข Collaborate with analytics, data science, and business teams to define data requirements
โข Monitor and troubleshoot data pipeline health and performance
โข Develop Python or Scala code for complex transformations and data processing
โข Support Power BI and analytics teams with data modeling and performance optimization
โข Document data lineage, transformations, and technical architecture
Requirements:
โข 3+ years of professional data engineering or ETL/ELT development experience
โข Expert-level SQL skills with proven optimization experience
โข Proficiency in Python, Scala, or similar data processing languages
โข Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)
โข Understanding of healthcare data standards (HL7, FHIR, claims data structures)
โข Strong grasp of data modeling, normalization, and schema design
โข Experience with data versioning, CI/CD pipelines, and data quality frameworks
Preferred Qualifications
โข Experience with Microsoft Fabric or Azure Data Factory
โข Knowledge of HIPAA compliance and healthcare data security
โข Background in healthcare, RCM, or claims processing
โข Experience with dbt (data build tool) or equivalent transformation frameworks
โข Exposure to dimensional modeling and data warehousing best practices
What Success Looks Like
โข In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics
โข In 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components
โข Ongoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance