Data Engineer (Senior) - TS/SCI with Polygraph

Job Locations US-VA-McLean
Posted Date 6 months ago(2/12/2020 9:47 AM)
Job ID
# of Openings


LMI is a consultancy dedicated to improving the business of government, drawing from deep expertise in advanced analytics, digital services, logistics, and management advisory services. Established as a private, not-for-profit organization in 1961, LMI is a trusted third party to federal civilian and defense agencies, free of commercial and political bias. We believe government can make a difference, and we seek talented, hardworking people who share that conviction.


LMI is seeking a Data Engineer (Senior) to support an Intelligence Community client. This position will be located in the Washington DC area.


  • Develop data structures and systems to support the generation of business insights
  • Develop data transformation and data management strategies
  • Define, design, and develop data requirements, data flow diagrams, data dictionaries, and logical and physical models
  • Develop methods, policies, and procedures to capture and maintain metadata
  • Develop standards for data profiling and to improve data quality
  • Create procedures for data archival, retention, and de-archival based on policies
  • Collaborate with data owners, domain SMEs, and technical SMEs, to process data sets and engineer new features as appropriate.
  • Leverage process automation, to include automating ETL processes, data validation and quality checks, and other processes.


  • Active TS/SCI clearance with Polygraph
  • Bachelors in STEM or related
  • Senior skill level
  • 8+ years of data engineering or data management experience
  • Proficiency with major data sciences tools such as SQL, Python, R, and Git.
  • Demonstrated experience with cleaning, management, optimizing performance and processing large volumes of data.
  • Familiarity with industry best-practices for software-hardware optimization when processing large sets of data.
  • Experience with machine learning, with statistical modeling, time-series forecasting, and/or geospatial analytics is preferred.
  • Experience with Hadoop, Spark or other parallel storage/computing processes is a plus.


EEO Statement

LMI is an Equal Opportunity Employer-all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. 


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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 (including pregnancy), sexual orientation, gender identity, age, national origin, disability, veteran status, or any other factors protected by applicable law.

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