Databricks Data Engineer - Healthcare Analytics (Remote)

GovCIO

Cheyenne (WY)

Remote

USD 130,000 - 160,000

Full time

2 days ago
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Benefits offered by this job

Employee Assistance Program (EAP)
Corporate Discounts
Learning & Development platform
Training, Education and Certification
Referral Bonus Program
Internal Mobility Program
Pet Insurance
Flexible Work Environment

Job summary

GovCIO is hiring a Data Engineer to design and build analytics-ready datasets from the VA CDW and other systems. You will work on medallion architecture in Databricks, transform data with PySpark/SQL, and prepare gold-layer datasets for Power BI models.

Responsibilities include managing Databricks jobs, writing efficient SQL, and collaborating with clients, data scientists, and Power BI developers to deliver reliable data products in a fully remote setup.

Qualifications

  • Bachelor's degree required with 12+ years of data engineering experience preferred.
  • Hands-on data pipelines in Databricks (PySpark/SQL) and strong SQL skills.
  • Experience with Power BI data preparation for semantic models.
  • Familiarity with GitHub and team collaboration tools like JIRA.

Responsibilities

  • Design, build, and maintain data pipelines using medallion architecture (bronze/silver/gold) in Databricks.
  • Develop and monitor Databricks jobs and pipelines; optimize SQL queries for healthcare data.
  • Prepare gold-layer datasets for Power BI semantic models used by stakeholders.
  • Collaborate with clients to gather requirements and validate outputs; document data lineage.

Skills

Databricks
PySpark
SQL
Power BI
GitHub
JIRA
Client communication
Medallion architecture

Education

Bachelor's degree
12+ years experience

Tools

Databricks
GitHub
JIRA

Job description

GovCIO is hiring a Data Engineer to design and build analytics-ready datasets from the VA CDW and other systems. You will work on medallion architecture in Databricks, transform data with PySpark/SQL, and prepare gold-layer datasets for Power BI models.

Responsibilities include managing Databricks jobs, writing efficient SQL, and collaborating with clients, data scientists, and Power BI developers to deliver reliable data products in a fully remote setup.

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