
Claims Data Engineer. Healthcare
- Nashville, TN
- Permanent
- Full-time
- 5+ years of experience in Data Engineering or a related role, with a specific focus on healthcare claims data.
- Strong understanding of RCM workflows, claims adjudication, CPT/ICD coding, and 837/835 transaction sets.
- Hands-on experience building data pipelines using SQL, Python, or PySpark.
- Experience with Snowflake and/or Databricks for data pipeline development and analytics processing.
- Familiarity with cloud environments (GCP, Azure, or AWS).
- Understanding of data security and privacy best practices in healthcare.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.
- Experience working in payer, provider, or healthcare analytics organizations.
- Familiarity with HL7, FHIR, or integrating claims and clinical data.
- Exposure to modern orchestration tools like dbt, Airflow, or Azure Data Factory.
- Knowledge of data lakehouse concepts and scalable architecture patterns.
- Design and maintain robust ETL/ELT pipelines for ingestion, transformation, and integration of healthcare claims data, including 837/835 formats.
- Develop and manage data marts, views, and schemas optimized for RCM-related analytics, cost/utilization tracking, and payer-provider performance monitoring.
- Partner with analysts, data scientists, and product managers to understand data requirements and deliver scalable data solutions.
- Perform data profiling, validation, and QA to ensure high data quality across the pipeline.
- Work with Snowflake, Databricks, or similar modern data platforms to build performant and secure data workflows.
- Optimize query performance and processing time for large-scale claims datasets.
- Ensure compliance with HIPAA, PHI protections, and other healthcare data regulations.
- Participate in sprint planning and agile ceremonies as part of an engineering team.
- Strong problem-solving and troubleshooting skills.
- Ability to work independently and collaboratively in a team environment.
- Detail-oriented with a focus on data quality and compliance.
- Effective communication skills for cross-functional collaboration.
- Contribute to meaningful projects that improve healthcare financial operations and data quality.
- Work alongside healthcare experts, engineers, and innovators in a dynamic, agile environment.
- Be part of a mission-driven team focused on modernizing healthcare data ecosystems.
- Opportunities for growth, leadership, and cross-functional collaboration