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Mid-Level Data Engineer – Healthcare Domain

3 years

0 Lacs

Hyderabad Telangana India

Posted:6 days ago| Platform: Linkedin logo

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Skills Required

data healthcare sql cpt design etl databricks pyspark ehr checks integrity compliance pipeline reliability azure documentation support analytics reporting troubleshooting analysis engineering apache spark git orchestration airflow json communication

Work Mode

On-site

Job Type

Full Time

Job Description

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 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.

Education

  • Bachelor’s degree in Business Administration, Healthcare Informatics, Information Systems, or a related field.

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