Senior SQL Data Engineer - Databricks & Pipelines

Parra Consulting Group, Inc.; United States; On-site; USD 110,000 - 180,000; Full time

Job summary

Parra Consulting Group is seeking a SQL Data Engineer to support federal health programs and regulatory science. The role designs, develops, and optimizes scalable data solutions using SQL and Databricks to deliver reliable insights for mission-critical decisions.

Responsibilities include building data pipelines, tuning complex SQL across Oracle, PostgreSQL, and Databricks, and ensuring data quality through automated testing and validation.

Qualifications

• Bachelor's degree in CS/Data Science/Engineering/Math required.
• 5+ years experience developing and optimizing complex SQL solutions.
• Ability to obtain Public Trust or Suitability/Fitness determination.
• U.S. citizenship required to support federal contract.

Responsibilities

• Design, develop, and optimize scalable data pipelines and datasets using SQL and Databricks.
• Develop, tune, and troubleshoot SQL solutions across Oracle SQL, PostgreSQL, and Databricks SQL.
• Integrate data from databases, cloud platforms, APIs, JSON, XML, and flat files.
• Implement automated testing, data validation, and data-quality processes.
• Collaborate with engineers, analysts, data scientists, and stakeholders to deliver secure, high-performing solutions.
• Communicate technical concepts clearly and raise risks and actions to management early.

Skills

SQL

Databricks

Data pipelines

Python

Git

CI/CD

Data modeling

ETL/ELT

APIs/JSON/XML

Azure/AWS cloud

Education

Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Biostatistics, or Mathematics

Tools

Databricks

Delta Lake

Pentaho

Git

Job description

Parra Consulting Group is seeking a SQL Data Engineer to support federal health programs and regulatory science. The role designs, develops, and optimizes scalable data solutions using SQL and Databricks to deliver reliable insights for mission-critical decisions.

Responsibilities include building data pipelines, tuning complex SQL across Oracle, PostgreSQL, and Databricks, and ensuring data quality through automated testing and validation.