Remote Data Engineer: Databricks & Medallion Analytics

GovCIO

Hartford (CT)

Remote

USD 130,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Employee Assistance Program (EAP)

Corporate Discounts

Learning & Development platform

Certification Assistance

Referral Bonus Program

Internal Mobility Program

Pet Insurance

Flexible Work Environment

Job summary

GovCIO is seeking a Data Engineer to design and build enriched datasets using medallion architecture (bronze/silver/gold) in Databricks, sourcing data from VA CDW and other systems. You will feed Power BI semantic models and work with clients to gather requirements, track work in JIRA, and deliver high-quality data pipelines.

This fully remote role requires strong SQL, PySpark/Databricks, and experience with Power BI; familiarity with VA data is a plus.

Qualifications

Bachelor's degree and 12+ years of experience (or commensurate experience).
Hands-on experience building data pipelines and transformations in Databricks (PySpark and/or SQL).
Strong SQL skills, including complex joins, aggregations, and performance tuning.
Experience working with Power BI, including preparing data for semantic models.
Familiarity with GitHub for version control and collaborative development.
Experience using JIRA or similar tools to track and manage work.
Strong communication skills and comfort working directly with clients/stakeholders.
Understanding of medallion (bronze/silver/gold) data architecture principles.

Responsibilities

Design, build, and maintain enriched datasets following medallion architecture (bronze, silver, gold layers) in Databricks.
Develop, orchestrate, and monitor Databricks jobs and pipelines.
Write efficient, well-structured SQL to transform and model healthcare data.
Prepare and optimize gold-layer datasets for consumption by Power BI semantic models.
Manage code and version control through GitHub, following team branching and review practices.
Log, track, and update work items in JIRA.
Partner directly with clients and stakeholders to understand requirements, clarify data definitions, and validate outputs.
Troubleshoot data quality issues and ensure accuracy and consistency across pipelines.
Write ad hoc queries to support client requests, investigations, and one-off analyses.
Perform data validation and quality assurance checks on pipelines and enriched datasets to ensure accuracy, completeness, and consistency.
Document data lineage, transformation logic, and business rules for enriched datasets.
Collaborate with Power BI developers and data scientists on the broader team to ensure datasets meet downstream reporting and analytical needs.