Data Engineer 2

Job Title : Mid-Level Data Engineer Healthcare Domain

Location: Remote Option

Experience: 2 to 3 Years

Employment Type: Full-Time

About the Role

Mid-Level Data Engineer

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.