Data Engineer- Clearance Required

Data Engineer- Clearance Required

Job Locations

US-Remote

Job ID

2025-13243

# of Openings

Category

Information Technology

Benefit Type

Salaried High Fringe / Full-Time

Overview

LMI is seeking a highly qualified Data Engineer to support the Systems Team within the Army Training Information System (ATIS) program. This role will support data strategy, engineering, and analysis activities within a SAFe Agile Release Train (ART) to design, build, and optimize enterprise-level databases and data integration processes that align with program-level and solution-level objectives .

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

Work within cross-functional Agile Teams to support the design and implementation of enterprise data architectures and migration strategies aligned to Program Backlog priorities.

• Collaborate during PI Planning, Iteration Planning, Daily Standups, and Inspect & Adapt workshops to ensure data solutions support evolving business and system needs.
• Define and enforce data standards across the enterprise, leveraging existing frameworks and identifying gaps for standardization.
• Support incoming and outgoing data interfaces, including schema design, ETL pipeline development and maintenance, ensuring data quality and data consistency.
• Support resolution of data-related user inquiries.
• Facilitate collaboration across teams to ensure enterprise-level data consistency, quality, and integrity throughout the Continuous Delivery Pipeline.
• Contribute to the architectural runway by designing scalable data pipelines, warehouses, and integration layers.
• Monitor and improve system performance, security, and scalability in alignment with DevSecOps principles.
• Proficiency in SQL, Python, or AWS native services for data transformation and automation.

Qualifications

Required Qualifications :

Preferred Qualifications :

Travel Requirements :

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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