Data Engineer- Clearance Required

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.

• 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 Dev Sec Ops  principles.
• Proficiency in SQL, Python, or AWS native services for data transformation and automation.

Required Qualifications:

• Active Secret security clearance.
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in enterprise-level data engineering, data architecture, or related fields.
• Active DoDI 8140 certification (e.g., CISSP, CISM, Security+).
• Expertise in enterprise database and data warehouse design, query optimization, and performance tuning.
• Strong problem solving and SQL analysis skills.
• Proven ability to learn and apply domain knowledge to data transformations and data quality reports.
• Skilled in process design, modeling, and documentation using DoDAF or similar frameworks.
• Experience supporting data-centric enterprise systems and integration with multidimensional networks.
• Familiarity with Agile frameworks, especially SAFe, and experience working in PI cycles and Agile ceremonies.
• Strong understanding of project management principles and tools to support collaborative team-based delivery.

Preferred Qualifications:

• Experience working with government or DoD systems (e.g., ATIS, IPPS-A, AOS).
• Experience with backlog management and collaboration tools (e.g., Gitlab, Lucid Spark).
• Experience in AWS data services (S3, Lambda, RDS, Dynamo
  
  DB, SNS/SQS, etc.).
• Familiarity with data governance, compliance, and security best practices in a federal environment.
• Understanding of Continuous Integration/Continuous Deployment (CI/CD) processes and data automation tools.
• SAFe and related industry certifications (Leading SAFe, Dev Ops Practitioner, Security+).

• Occasional travel required (e.g., quarterly for PI Planning and major program milestones).

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

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.

Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.