Data Engineer (TS/SCI) - DoD-Cleared Analytics

E; Alexandria (VA); On-site; USD 110,000 - 165,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) match

Flexible schedules

Paid time off

Holidays

Job summary

E&M Technologies, Inc. is seeking a Data Engineer to join our team in Alexandria, VA, supporting the Defense Resources and Infrastructure Office (DRI). The role focuses on cataloging and analyzing military and civilian infrastructure, leveraging data science to deliver actionable insights for decision-makers.

The candidate will work with data from diverse sources, design algorithms, and collaborate with clients to understand questions, turning data into objective answers. A U.S.

Qualifications

• 2+ years of experience with statistical and general-purpose programming languages for data analysis
• Experience analyzing structured and unstructured data sources
• 1+ year 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 (DoD) clearance at the appropriate level

Responsibilities

• Use your analytical skills and data science knowledge to create real-world impact.
• Work closely with clients to understand questions and needs, then examine data-rich environments to uncover information.
• Develop algorithms and systems, using the right tools to turn disparate data points into objective answers for informed decisions.
• Provide a deep understanding of the data and its implications for real-world use.

Job description

E&M Technologies, Inc. is seeking a Data Engineer to join our team in Alexandria, VA, supporting the Defense Resources and Infrastructure Office (DRI). The role focuses on cataloging and analyzing military and civilian infrastructure, leveraging data science to deliver actionable insights for decision-makers.

The candidate will work with data from diverse sources, design algorithms, and collaborate with clients to understand questions, turning data into objective answers. A U.S.