Data Engineer
nimble solutions, Chesterfield, MO, United States
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.
Job Type :
Full-time
Location :
Chesterfield Office Hybrid or Remote
Position Overview
Lead the modernization of our data infrastructure as a Data Engineer. You'll architect scalable cloud‑native pipelines using Microsoft Fabric and Databricks to transform healthcare data—claims, EMR/EHR, HL7/FHIR—into 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
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
Requirements
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
Preferred Qualifications
Experience with Microsoft Fabric or Azure Data Factory
Knowledge of HIPAA compliance and healthcare data security
Background in healthcare, RCM, or claims processing
Experience with dbt (data build tool) or equivalent transformation frameworks
Exposure to dimensional modeling and data warehousing best practices
What Success Looks Like
In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics
In 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components
Ongoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance
#J-18808-Ljbffr
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.
Job Type :
Full-time
Location :
Chesterfield Office Hybrid or Remote
Position Overview
Lead the modernization of our data infrastructure as a Data Engineer. You'll architect scalable cloud‑native pipelines using Microsoft Fabric and Databricks to transform healthcare data—claims, EMR/EHR, HL7/FHIR—into 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
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
Requirements
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
Preferred Qualifications
Experience with Microsoft Fabric or Azure Data Factory
Knowledge of HIPAA compliance and healthcare data security
Background in healthcare, RCM, or claims processing
Experience with dbt (data build tool) or equivalent transformation frameworks
Exposure to dimensional modeling and data warehousing best practices
What Success Looks Like
In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics
In 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components
Ongoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance
#J-18808-Ljbffr