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

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.

Required Qualifications

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 up-to-date 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 col

📌 Mid-Level Data Engineer – Healthcare Domain (India)
🏢 Careeco
📍 India