LMI
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr