Data Engineer | TS/SCI

PowerToFly; Virginia (MN); On-site; USD 113,000 - 188,000; Full time

Job summary

Deloitte's Government & Public Services GPS practice seeks a Data Management Engineer III to design, develop, and deploy data and AI solutions for mission-focused programs.

You'll build data pipelines with Databricks and Palantir Foundry, integrate systems, and craft NLP/GAN capabilities to match narratives to requirements, while maintaining quality and meeting deadlines onsite in Arlington, VA.

Qualifications

• Bachelor's degree required.
• 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.
• Must be legally authorized to work in the United States without employer sponsorship.

Responsibilities

• Develop data pipelines to ingest and standardize document data.
• Build and maintain integrations between data artifacts and tools.
• Develop NLP and AI capabilities to match narratives to requirements documents.
• Design and enhance tools to validate AI-generated matches and interact with budgets.
• Support platform maintenance, data quality remediation, and enhancement requests.

Skills

Independent work

Team collaboration

Effective communication

Attention to detail

Project leadership

Multitasking

Interpersonal skills

Meet deadlines

Provide guidance

Education

Bachelor's degree

Tools

Databricks

Palantir Foundry

Job description

Join Deloitte's AI & Engineering team to help clients modernize data platforms, enable innovation, and solve complex mission challenges. As part of our Government & Public Services practice, you will work with teams that design, build, and scale data and artificial intelligence solutions that support critical business and operational outcomes. This role offers the opportunity to contribute to high-impact work using modern data engineering, systems integration, and GenAI capabilities.

Work you'll do

As a Data Management Engineer III on the AI & Data team, you will be responsible for supporting the design, development, and deployment of data and AI solutions for mission-focused programs.

• 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 ongoing platform maintenance, issue resolution, data quality remediation, and intake of enhancement requests.

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

• Bachelor's degree
• 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
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

• 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

For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Virginia and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,000 to $188,400.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.