Data Engineer

E&M Technologies•Alexandria, VA
•Onsite

About The Position

E&M Technologies, Inc. is seeking a Data Engineer to join its team in Alexandria, Virginia, supporting the Defense Resources and Infrastructure Office (DRI). DRI catalogs and analyzes military and civilian infrastructure and defense-related resources to support U.S. and allied planners, targeteers, warfighters, policymakers, partners, and acquisition officials. The Data Engineer will work with clients to understand their questions and needs, analyze data-rich environments, and develop algorithms and systems that turn disparate data into objective information for decision-making. The role also involves developing a deep understanding of the data, its meaning, and its potential uses. The position is full-time, requires U.S. citizenship and the ability to maintain an appropriate U.S. Department of Defense clearance, and may involve travel up to 10%.

Requirements

  • At least 2 years of experience with statistical and general-purpose programming languages for data analysis.
  • Experience analyzing structured and unstructured data sources.
  • At least 1 year of experience with R or Python.
  • Experience using scientific methods to inform qualitative and quantitative analyses.
  • Ability to work effectively in a collaborative and fast-paced environment.
  • Must be a U.S. citizen.
  • Must have and be capable of maintaining a U.S. Department of Defense clearance at the appropriate level; the posting lists TS/SCI with CI Poly.

Nice To Haves

  • Experience with VS Code, GitHub, Jira, or Confluence.
  • Knowledge of DoD intelligence processes, activities, standards, and analytic tools.
  • Experience with data gathering, cleansing, and parsing.
  • Ability to work in Windows and Linux operating system environments.
  • Bachelor's degree in Operations Research, Applied Mathematics, or Data Science.

Responsibilities

  • Work with clients to understand their questions and needs.
  • Analyze data-rich environments to find relevant information.
  • Develop algorithms and systems to transform disparate data into objective answers that support informed decisions.
  • Explain and provide a deep understanding of the data, its meaning, and how it can be used.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Short-term disability insurance
  • Long-term disability insurance
  • 401(k) match
  • Flexible spending accounts
  • Flexible work schedules
  • Parental leave
  • Paid time off
  • Holidays
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