Data Engineer | TS/SCI

Deloitte • Arlington, VA

2d • $84,400 - $140,600 • Onsite

About The Position

Join Deloitte’s AI & Engineering team in its Government & Public Services practice to help clients modernize data platforms, enable innovation, and address mission challenges. The role contributes to data engineering, systems integration, and generative AI solutions that support critical business and operational outcomes.

As a Data Management Engineer III on the AI & Data team, you will support the design, development, and deployment of data and AI solutions for mission-focused programs. Work includes developing pipelines to ingest and standardize document data, integrating data platforms and comptroller tools, building NLP and generative AI capabilities, developing user-facing validation and budget data tools, and supporting platform maintenance and data quality.

The position is based onsite in Arlington, Virginia. Candidates must hold an active Top Secret/Sensitive Compartmented Information clearance and be legally authorized to work in the United States without current or future employer sponsorship. The stated Virginia compensation range is $84,400 to $140,600, and the role may be eligible for a discretionary annual incentive program.

Requirements

• Bachelor’s degree.
• At least 2 years of data engineering experience using Databricks and Palantir Foundry.
• Active Top Secret/Sensitive Compartmented Information security clearance.
• Ability to work 100% onsite in Arlington, Virginia.
• Legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
• Ability to work independently and collaboratively.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work.
• Ability to build and sustain professional relationships.
• Ability to lead projects or workstreams.
• Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines and provide clear guidance to others.

Nice To Haves

• Experience developing data ingestion and transformation pipelines for structured and unstructured documents.
• Experience using regular expressions for data parsing and standardization.
• Experience building system integrations across enterprise data platforms and tools.
• Experience developing natural language processing or generative artificial intelligence solutions.
• Experience building user-facing tools, dashboards, or data visualizations.
• Experience supporting data quality issue resolution and platform enhancements.

Responsibilities

• Develop data pipelines to ingest and standardize document data using regular expressions, generative artificial intelligence, and structured data models.
• Build and maintain integrations between ADVANA KMDS artifacts, Palantir Foundry, and comptroller execution tools using standardized data formats.
• Develop natural language processing and generative artificial intelligence capabilities to match J-Book narratives to requirements documents and enable document query functionality for Action Officers.
• Design and enhance tools that allow users to validate AI-generated matches, update back-end data, and interact with budget data through dashboards, parameters, and filters.
• Support platform maintenance, issue resolution, data quality remediation, and intake of enhancement requests.

Benefits

• Potential eligibility for a discretionary annual incentive program.
• Broad range of employee benefits.
• Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level