Databricks Data Engineer - Azure, SQL & Power BI

Aptonet; Washington (District of Columbia); On-site; USD 95,000 - 130,000; Full time

Job summary

The Antitrust Division of the U.S. Department of Justice is seeking a Data Management Specialist to optimize data infrastructure, focusing on Azure, SQL Server, Power BI, and Databricks. You will support data governance, reporting, and analytics for legal and compliance initiatives.

Responsibilities include administering Azure resources, managing SQL Server, building Databricks pipelines, and delivering insights through Power BI to cross‑functional teams.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Management, or related field.
• 3+ years of experience in data management with hands-on Azure, SQL Server, Power BI, Apache Tomcat, R Studio, and Databricks.
• Public Trust security clearance required; preferred candidates already holding clearance, especially with DOJ.

Responsibilities

• Administer and support Azure cloud resources (Azure SQL Database, Blob Storage, Azure Data Lake).
• Manage SQL Server backups, restores, and performance tuning.
• Develop Databricks pipelines and ETL processes for data transformation.
• Create and maintain Power BI reports and dashboards for business insights.
• Use R Studio for data analysis and statistical modeling.
• Document processes, workflows, and configurations for consistent data mgmt.

Skills

Azure

SQL Server

Power BI

Databricks

R Studio

Apache Tomcat

Data analysis

Data visualization

Stakeholder communication

Education

Bachelor's degree in Computer Science or related field

Tools

Azure CLI

PowerShell

Azure DevOps

Job description

The Antitrust Division of the U.S. Department of Justice is seeking a Data Management Specialist to optimize data infrastructure, focusing on Azure, SQL Server, Power BI, and Databricks. You will support data governance, reporting, and analytics for legal and compliance initiatives.

Responsibilities include administering Azure resources, managing SQL Server, building Databricks pipelines, and delivering insights through Power BI to cross‑functional teams.