Data Jobs in Washington, DC

Data Engineer

Job Locations

US-DC-Washington, DC

Job ID

2025-13271

# of Openings

Category

Consulting / Business Management

Benefit Type

Salaried High Fringe / Full-Time

Overview

LMI has an immediate need for a Data Engineer to work with our NASA client in Washington, DC . The ideal candidate will have strong data engineering expertise and can review human capital related information. We are looking for someone able to extract datasets from different sources, coordinate the cleaning process, maintain data integrity, and prepare them for client use in their enterprise data environment. This person will also serve as a lead consultant to identify and collect customers' analytic and architectural requirements.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities

Serve as an advisor to our NASA OCHCO (Office of the Chief Human Capital Officer) customer while leading development in data engineering activities

• Develop, implement and maintain a data pipeline using the Databricks platform, including extracting datasets using APIs, manipulating common data formats (e.g., parquet, text files, JSON), and automating routine data refreshes
• Build AWS resources to support data pipelining, storage, and analysis efforts
• Research and recommend software, systems, and processes as needed
• Be an effective consultant, including gathering analytic requirements to provide clear and concise solutions.
• Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting.
• Conduct extensive quality control and record keeping procedures to ensure the highest levels of data integrity

Qualifications

Minimum Qualifications :

Preferred experience in the following areas :

Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets

Target salary range : $82,000 - $141,000

Disclaimer :

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and / or certifications.

LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org

Colorado Residents : In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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