Analytics Data Engineer

Benefits

• 401(k) matching
• PTO and generous time off policies
• Comprehensive health, dental, and vision coverage
• Short- and long-term disability
• Flexible FSA accounts
• 4 weeks of paid parental leave
• 11 paid holidays, including a birthday off
• Fitness and cell phone reimbursements
• Monthly all-hands updates
• Annual in-person team building day and evening out
• Regular growth-focused check-ins
• Semi-monthly one-on-one performance discussions
• Social team with monthly events
• Slack and other tools to stay connected and collaborative
• A culture centered on high engagement and teamwork

About the role

As an Analytics Data Engineer supporting a Federal government client, you will design, build, and maintain data pipelines and analytics solutions using Databricks and cloud tooling to enable data-driven decision making for program outcomes.

Responsibilities

• Collaborate with the data solutions architect to define the data platform strategy.
• Provide hands-on expertise across the design, development, implementation, and testing of data pipelines.
• Help design and document a data development lifecycle to ensure consistent processes using Databricks and cloud tooling.
• Analyze data sources, participate in requirements gathering, and offer guidance on data technology and data modeling best practices.
• Apply knowledge of data models, relationships, lineage, and business rules to ensure solutions meet operational and business needs.
• Build and maintain end-to-end data pipelines and Databricks-based data systems with CI/CD, driving continuous quality improvements.
• Establish an authoritative Lakehouse within the Analytics Platform for post-award reporting and monitoring.
• Refresh and enhance dashboards and analytics products such as program financials, risk management, and customer engagement.
• Leverage advanced analytics including LLMs and AI to analyze unstructured program data, reduce manual review workload, support fraud detection, and inform program management decisions.
• Partner with business stakeholders to identify opportunities for automation.
• Uphold the commitments to deliver, grow, and thrive.

Requirements

• Bachelor’s degree or higher in a related field (computer science, engineering, business analytics, information systems management, cybersecurity, or similar)
• 6+ years of experience in a data engineer role or related position
• Experience designing and building scalable ETL data pipelines from diverse sources
• Proficiency with Python, PySpark, and SQL for data manipulation and cleaning
• Experience creating automation scripts to streamline data processing tasks
• Experience deploying, configuring, and maintaining data storage systems such as data warehouses and data lakes
• Experience with cloud platforms (Azure, AWS, or GCP)
• U.S. citizenship and ability to obtain public trust clearance or suitability

Technologies

• Databricks
• Python
• PySpark
• SQL
• Azure, AWS, GCP
• CI/CD
• LLMs and Artificial Intelligence

Location

Remote work, with the option to work at the client site as dictated by contract requirements. A dynamic, fully remote team environment.

Compensation

Approximate salary range: USD 100,000 – 120,000 per year.