Data Engineer

nimble solutions

Data Engineer optimizing healthcare data pipelines at a leading Revenue Cycle Management company. Building scalable cloud-native pipelines to improve patient outcomes and operational efficiency.

Posted 4/28/2026full-timeChesterfield • Montana • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudETLPythonScalaSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Health insurance
Remote work options
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETLELTSQLPythonScaladata modelingdata governancedata quality frameworksperformance optimizationdata processing