Data Scientist 2

HII's Mission Technologies divisionSuffolk, VA
$82,391 - $105,000

About The Position

This opportunity resides with Global Security (GS). Mission Technologies’ Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business. As a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross-domain battle. With advanced technologies to enable mission readiness, HII understands that preparation requires full coordination—not readiness in piece-parts. For more than 40 years, the U.S. Navy has entrusted HII to maintain and modernize the vast majority of its fleet. With a holistic approach to life-cycle maritime defense systems—from small watercraft to submarines, surface combatants and aircraft carriers—HII ensures a high state of readiness. HII supports the Department of Energy’s national security mission through the management and operation of its sites, as well as the safe cleanup of legacy waste across the country. HII meets clients’ toughest nuclear and environmental challenges. Leadership Mindset at HII – Mission Technologies Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every team member contributes to our mission and culture: Know & Grow Your People – Commit to learning and supporting team success. Build Relationships – Communicate openly, collaborate well, and build trust. Take Ownership – Deliver on commitments and take pride in your work. Customer First – Focus on the mission and those we serve. Shape the Future – Bring ideas, curiosity, and continuous improvement. Act with Urgency – Take initiative and follow through with purpose. These capabilities guide how all employees contribute to our shared success across Mission Technologies. Summary Mission Technologies, a division of Huntington Ingalls Industries, is seeking a Data Scientist 2 to support the Joint Training Synthetic Environment (JTSE) for the Joint Staff J7 (JS J-7). This role offers the opportunity to contribute to high-impact data engineering and analytics efforts within a critical national defense environment.

Requirements

  • 2 years’ experience with Bachelors in related field; 0 years’ experience with Masters in related field; or High School Diploma or equivalent and 6 years relevant experience.
  • Hands-on experience developing data analytics and processing pipelines using Python/PySpark
  • Experience building and maintaining ETL/ELT pipelines
  • Ability to perform data quality validation and pipeline optimization
  • Strong skills in documenting technical workflows and working with cross-functional teams
  • Excellent written and verbal communication abilities
  • Strong organizational skills and attention to detail
  • Ability to work both independently and collaboratively
  • Self-driven with the ability to work with minimal supervision
  • Must have an active Secret clearance with the ability to obtain a Top Secret

Nice To Haves

  • Experience configuring and using Superset for data connections and dashboards
  • Familiarity with Talend or Qlik tools
  • Experience developing with Apache Spark and Airflow
  • Knowledge of Git workflows and CI/CD pipelines
  • Experience using JIRA or other Agile project management tools

Responsibilities

  • Design, build, test, and operate ETL/ELT data pipelines using Apache Spark
  • Develop reliable, scalable, and cost-effective data engineering solutions
  • Implement and maintain data quality checks across pipelines
  • Document workflows, processes, and data structures to enhance team knowledge
  • Support data cataloging efforts and ensure compliance with security requirements
  • Troubleshoot and resolve performance issues across ingestion, transformation, and query layers
  • Maintain accurate, up-to-date documentation in Confluence, including data dictionaries
  • Collaborate with business and functional teams to understand needs, deliver insights, and present findings that support decision-making

Benefits

  • best-in-class medical, dental and vision plan choices
  • wellness resources
  • employee assistance programs
  • Savings Plan Options (401(k))
  • financial planning tools
  • life insurance
  • employee discounts
  • paid holidays
  • paid time off
  • tuition reimbursement
  • early childhood and post-secondary education scholarships
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