Mid-Level Data Engineer Healthcare Domain
CareEco · Not specified · onsite · Posted 37d ago
Not disclosed2–5 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
About The Role
We are seeking a motivated and detail-oriented Mid-Level Data Engineer with 2–3 years of experience in designing, developing, and optimizing data pipelines within the healthcare domain. The ideal candidate will have hands-on experience with Databricks, strong SQL skills, and a solid understanding of healthcare data standards (e.g., HL7, EDI X12 – 837/835, HCC, CPT/ICD codes).
Key Responsibilities
We are seeking a motivated and detail-oriented Mid-Level Data Engineer with 2–3 years of experience in designing, developing, and optimizing data pipelines within the healthcare domain. The ideal candidate will have hands-on experience with Databricks, strong SQL skills, and a solid understanding of healthcare data standards (e.g., HL7, EDI X12 – 837/835, HCC, CPT/ICD codes).
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and Delta Lake for large-scale healthcare datasets.
- Collaborate with data scientists, analysts, and product managers to understand data requirements and deliver clean, reliable data.
- Ingest, process, and transform healthcare-related data such as claims (837/835), EHR/EMR, provider/member, and clinical datasets.
- Implement data quality checks, validations, and transformations to ensure high data integrity and compliance with healthcare regulations.
- Optimize data pipeline performance, reliability, and cost in cloud environments (preferably Azure or AWS).
- Maintain documentation of data sources, data models, and transformations.
- Support analytics and reporting teams with curated datasets and data marts.
- Adhere to HIPAA and organizational standards for handling PHI and sensitive data.
- Assist in troubleshooting data issues and root cause analysis across systems.
- 2–3 years of experience in a data engineering role, preferably in the healthcare or healthtech sector.
- Hands-on experience with Databricks, Apache Spark (PySpark), and SQL.
- Familiarity with Delta Lake, data lakes, and modern data architectures.
- Solid understanding of healthcare data standards: EDI 837/835, CPT, ICD-10, DRG, or HCC.
- Experience with version control (e.g., Git), CI/CD workflows, and task orchestration tools (e.g., Airflow, Azure Data Factory, dbt).
- Ability to work with both structured and semi-structured data (JSON, Parquet, Avro, etc.).
- Strong communication skills and ability to collaborate in cross-functional teams.
- Bachelor's degree in Business Administration, Healthcare Informatics, Information Systems, or a related field.
Sourced from foundit
Skills
Apache SparkparquetavroDeltaapache airflowcptDrgdbtICD-10HccJSONDatabricksPysparkSQLAzure Data FactoryEDIGIT