Data Engineer (SkillBridge)

Mission Essential Intelligence Solutions

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative or technical field (Statistics, Mathematics, Computer Science, etc.)
  • 3 years experience with data technologies (Spark, Scala, Hive, Hadoop)
  • 3 years experience developing scripts and APIs (Java, Shell, Perl, Python, C++)
  • 3 years experience building data pipelines and stream processing
  • 1 year experience with geospatial and/or imagery data
  • 2 years experience writing technical analysis reports
  • Strong problem-solving and presentation skills.

Responsibilities

  • Research data acquisition opportunities and collaborate with government POCs on analytical questions
  • Design, construct, and maintain scalable data management systems with a focus on reliability and efficiency
  • Integrate new data technologies into existing architectures, especially cloud-based solutions
  • Collaborate with IT and Command Information Office on disaster recovery for GEOINT data
  • Develop processes for data modeling, mining, and proof of concept initiatives
  • Utilize various scripting languages to build integrated systems for data management
  • Attend GEOINT-related conferences and meetings to gather insights on current technologies.

Benefits

  • Opportunity to collaborate with government POCs and industry leaders
  • Engagement with cutting-edge technologies in the GEOINT sector
  • Potential for travel to attend conferences and build professional networks
  • Contributions to meaningful analysis and solutions for national security
  • Involvement in innovative projects within the Department of Defense.
Full Job Description
Position: Data Engineer

Location: Suitland, MD

Clearance: TS/SCI

Job Description:

Mission Essential is seeking a Data Engineer and a successful candidate will perform the following requirements and tasks:
• Research opportunities for data acquisition and new uses for existing data and collaborate with respective government POCs to frame open-ended analytical questions, identify weaknesses, develop solutions, and determine trends and/or opportunities.
• Design, construct, install, test and maintain highly scalable data management systems, to include recommendations for improving data reliability, efficiency, and quality in context of meeting customer expectation and delivery timelines.
• Integrate new data management technologies and software engineering tools into existing structures and architectures including but not limited to cloud-based data processing and storage.
• Collaborate with ONI Information Technology Enterprise and the Command Information Office (CIO) on implementing and updating disaster recovery procedures for GEOINT data.
• Develop data set processes for data modeling, mining, production, and proof of concept initiatives.
• Employ a variety of scripting languages to develop integrated systems for data management, accessibility, and warehousing.
• Contribute to the design of new product features by articulating current and anticipated customer needs and by weighting design trade-offs.
• May accompany ONI personnel to community GEOINT¬ related conferences and meetings in order to gain insight and understanding of the latest military and civil sector GEOINT techniques and technologies under development. As required, the contractor also may travel to ashore and afloat naval and joint service commands, GEOINT-related trade shows and conferences to become familiar with special projects, exercises, and analytic methods. (The contractor is not permitted to represent ONI to the community during any conference or meeting. If ONI personnel are not available, the contractor shall act only in an advisory role on GEOINT technologies, techniques, applications, and methodologies and gather facts during the meeting or conference.)Qualifications:
• Bachelor's degree from an accredited institution in a quantitative or technical field of study, such as: Statistics, Mathematics, Computer Science, Physical Science, Engineering or Geographic Information Systems (GIS)
• Three years of practical work experience with data technologies to include but not limited to one or more (exact, similar, or equivalent software) of the following:

o Spark

o Scala

o Hive

o Hadoop
• Three years of practical experience developing scripts, APls, and/or programs using but not limited to one or more (exact, similar, or equivalent software) of the following:

o Java

o Shell

o Perl

o Python

o C++
• Three years of practical work experience building data pipelines, stream processing
• One-year practical work experience with geospatial data and/or imagery data
• Two years of experience writing technical analysis reports
• Demonstrated problem-solving skills
• Demonstrated presentation skills, including but not limited to presenting at professional or academic conferences

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