Demo

Senior Data Engineering - TS/SCI Required

Logistics Management Institute
Reston, VA Other
POSTED ON 5/3/2026
AVAILABLE BEFORE 11/13/2027

Overview

LMI is seeking a Senior Data Engineer to support our Intelligence Community client. 

 

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.

 

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

This data engineer will work as part of a team of experienced data scientists, data analysts, and full stack developers to develop and maintain applications that enable client business processes. Responsibilities include: 

  • Defining and developing techniques to integrate, consolidate, and structure data for functional workflows and analytical use  
  • Understanding complex and organization-specific datasets. 
  • Producing dashboards and visualizations to support complex client requirements. 
  • Conducting root cause analysis, identifying errors, and refactoring pipelines as needed. 
  • Performing analyses to answer routine and ad hoc questions as identified in the data being leveraged 
  • Developing and improving standard operating procedures. 
  • Communicating with data analysts and developers to design tools and applications to improve response to repeat requests. 
  • Researching, analyzing and documenting the benefits of various technical approaches. 
  • Proposing alternative designs and processes to manage various types of data using both standard and custom tables and fields. 
  • Working in teams and independently. 
  • Support the maturation of data quality 
  • Support the transformation of businesses process through automation 
  • Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools 
  • Advising on the interpretation and use of data analysis products, dashboards and reports to non-technical customers 
  • Assisting the development of junior teammates through technical mentoring, code review, and other assistance. 

Qualifications

Required: 

  • Bachelor’s degree in science, engineering, mathematics, computer science, information systems, data analytics, or other related business or quantitative discipline 
  • 7 years experience in data engineering or related field 
  • Experience with ETL process and concepts 
  • Knowledge and experience manipulating and joining data from various sources and in various formats. 
  • Ability to query datasets from multiple sources, knowledge of data refresh methodologies, and ability to leverage data models. 
  • High level of competency with data engineering coding languages like SQL and Python  
  • Self-starter with the vision to independently identify opportunities for improvement through data analytics 
  • A true team player who maintains a positive attitude in a dynamic environment 
  • Excellent communication skills, written and oral 
  • Proven ability to work with business customers and technical teams  
  • Highly organized and able to manage multiple projects simultaneously  
  • Excellent customer relationship management skills  
  • Innovative problem-solving skills and ability to thrive in a fast-paced environment   
  • Ability to work on client site in the NCR in Washington, D.C.  
  • Active TS/SCI required. CI Polygraph required for the position; candidates without a current polygraph will be sponsored for upgrade.

 

Desired: 

  • Masters degree or higher 
  • Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, or d3.js 
  • Experience with version control software like Git 
  • Experience with Agile development  
  • Management consulting experience desired 

Hourly Wage Estimation for Senior Data Engineering - TS/SCI Required in Reston, VA
$63.00 to $78.00
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