Senior Data Engineer - TS/SCI with Polygraph
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 Senior Data Engineer 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.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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