Data Engineer - Clearance Required

Job Locations

US-VA-Tysons

Job ID

2024-12131

# of Openings

1

Category

Data/Analytics

Benefit Type

Salaried High Fringe/Full-Time

Overview

LMI is seeking an experienced Data Engineer to design, develop, test, and optimize data pipelines and database architectures, with additional responsibilities for creating data visualizations in React. This role will support the development of innovative software solutions that drive AI/ML capabilities for the Department of Defense.

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

Set up segmented databases to control access to various datasets and data products Build data pipelines in PySpark using data engineering best practices for testing, validation, automation, and version control Coordinate closely with SMEs and front-end developers to generate data tables required for UI execution Build code to execute pulls from APIs, allowing access to external data to be pulled into the client environment Interact with partners and data providers to understand their data holdings, methods for moving data into the CDAO-Advana platform, and data usage agreements Self-starter, and eager to learn and work in a team environment Develop intuitive visualizations, dashboards, and reusable User Interface (UI) components using React and the Material UI component library Rapidly create working wireframes based on project specifications for client validation in collaboration with human-centered design Build CI/CD pipelines using client specifications for security and containerized deployments in client environments Manage UI component buildout in conjunction with project management stakeholders using an agile-based project management approach Work with data engineers to outline specifications for APIs

Qualifications

Bachelor's degree in Computer Science or related field and/or equivalent work experience 3-10 years of experience as a data engineer Experience with: Agile-based development Python, Spark, notebooks Data Bricks or similar environment Effective analytical, conceptual, and problem-solving skills Active DoD Secret clearance required Part-time onsite client support in the Washington, DC metro area Desired Qualifications Active DoD Top Secret clearance The salary range for this position is- $80,000 - $120,000

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.

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

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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