LGBT Connect

Data Visualization Developer - Clearance Required

companyLMI Consulting
locationWashington, DC, USA
PublishedPublished: 12/8/2023


LMI: Innovation at the Pace of Need™

At LMI, we’re reimagining the path from insight to outcome at the new speed of possible. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. 

LMI is seeking an aircraft data analyst and visualization expert in the D.C. Metropolitan region (open to outside the region under if a high amount of desired and required skills can be met). This position requires performing data analysis and building statistical models based on Air Force aircraft utilization, debrief, on/off equipment maintenance, possession, aircraft status (FMC, PMC, NMC, etc…), and assignment data in systems like REMIS, IMDS and GO81. Responsibilities include conducting analysis to build models that feed a simulation of Air Force maintenance, supply, and flight operations for various weapon systems as well as analyzing simulation results to ensure the simulation is properly emulating aircraft utilization, statusing, and maintenance actions seen in historical data. Job will require generating input sets for simulation, interpreting results, and communicating findings to technical lead to make refinements to the simulation.


  • Analyzing Air Force data from systems like IMDS, GO81, and REMIS  
  • Developing statistically sound approaches for modeling Air Force processes (e.g., generating maintenance actions) 
  • Build an automated and repeatable process to transform Air Force Enterprise Data into simulation input files via version controlled scripts and ETL environments (Dagster, Apache Air Flow, etc..) 
  • The ability to read Air Force Technical Data and Technical Orders and use that information to shape analysis 
  • Be able to work on “large data sets” using Apache Spark, Dask or other large-scale data processing software 
  • Be able to interface with wing and below maintenance organizations to understand what their data means in REMIS, IMDS and GO81 
  • Build visualizations and dashboards for analyzing and comparing simulation results 
  • Work with other analysis and tech lead to analyze simulation results and recommend improvements to simulation 



  • Master’s degree or higher in aerospace engineering, statistics, operations research, mathematics, or other quantitative discipline 
  • At least 5 years’ experience in analyzing Air Force data in REMIS 
  • Can work in Jupyter Notebooks (via JupyterHub) to write scripts in Python and R and perform analysis 
  • Ability to work with large-scale data processing software (Dask, Apache Spark, etc.) 
  • The ability to create designs of experiments to test simulation in an efficient manner and perform MANOVA on simulation data 
  • The ability to analyze simulation data and build compelling data visualizations for audiences ranging from technical contributors to senior decision makers 
  • Strong problem solving and analytical skills 
  • The ability to work as part of a team 
  • This position requires a DoD Secret Security Clearance, for which you must be a US citizen 


  • Performing quantitative analysis at the HAF and/or MAJCOM level in REMIS, GO81, and/or IMDS 
  • Familiarity with Air Force supply data systems (ILSS, D200, etc…) and how it interacts with maintenance 
  • Familiarity with natural language processing and assess if algorithm is properly deriving the meaning of maintenance actions and discrepancies  
  • Familiarity with Dagster or Apache Air Flow for creating ETL workflows   
  • Expertise in F-22 and KC-135 data 
  • First-hand experience working at an aircraft maintenance squadron or base level maintenance squadron in the Air Force  
  • Experience working with Palantir Foundry 
  • Familiarity with C++, Linux, and the Message Passing Interface (MPI) 
  • Familiarity with Make and CMake build tools  
  • Familiarity with mathematical optimization techniques (Linear Programming, Mixed-Integer Programing, Goal Programming)  
  • Familiarity with git version control system  

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

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