Data Engineer (Senior) - TS/SCI with Polygraph
McLean, VA 
Share
Posted Today
Job Description
Data Engineer (Senior) - TS/SCI with Polygraph
Job Locations US-VA-McLean
Job ID 2021-5915
# of Openings 1
Category Data/Analytics
Overview

LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers' unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.

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

Responsibilities
    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.
Qualifications
  • Active TS/SCI clearance with Polygraph
  • Bachelors in STEM or related
  • 5+ 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.

#LI-SH1

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.

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. Need help finding the right job?
We can recommend jobs specifically for you! Click here to get started.

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, pregnancy, age, national origin, disability, veteran status, or any other factors protected by applicable law. We welcome applications for employment from qualified disabled veterans, veterans of the Vietnam era, and other covered veterans.

 

Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Education
Bachelor's Degree
Required Experience
5+ years
Email this Job to Yourself or a Friend
Indicates required fields