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Data Engineer

Job in Virginia, St. Louis County, Minnesota, 55792, USA
Listing for: AIS (Applied Information Sciences)
Full Time position
Listed on 2026-05-24
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 166000 USD Yearly USD 110000.00 166000.00 YEAR
Job Description & How to Apply Below

Senior Data Analytics Engineer

This position is contingent upon contract award. We are currently pursuing a proposal and are seeking qualified candidates to include in our submission and identify candidates for future hiring needs on the program once awarded.

Responsibilities

As your initial project assignment, you will support the unique needs of our client as a Data Engineer.

  • Core Knowledge &

    Skills:

    Optimizes complex SQL; applies advanced data modeling; leads robust ETL/ELT; uses big data technologies (e.g., Spark); enforces governance; implements ML/predictive solutions; manages scalable pipelines.
  • Work & Complexity:
    Solves high-complexity integration and performance challenges; runs multiple projects; delivers custom analytics solutions and automation for scale.
  • Quality & Independence:
    Sets benchmarks for data quality; drives continuous improvement; makes significant technical decisions with minimal oversight.
  • Teamwork & Communication:
    Leads cross-functional work; mentors engineers; communicates complex insights to senior leaders; integrates multi-stakeholder feedback.
  • Consulting & Engagement:
    Provides strategic consultation, leads client interactions, and advances consulting best practices.
Project Summary

The Data Engineer will design, build, and maintain scalable data solutions that enable analytics and mission-critical systems for law enforcement customers. This role focuses on developing high-volume data pipelines and backend services in a secure, cloud-based environment.

Key Responsibilities
  • Collaborate with Agile teams to deliver data solutions in two-week sprints
  • Design, implement, test, and maintain data pipelines and backend services
  • Develop scalable, high-performance, and highly available ETL solutions
  • Support microservices integration using REST, SOAP, or GraphQL
  • Diagnose and resolve complex system and data issues
  • Work with customers and internal teams to refine data requirements
  • Support Dev Sec Ops  pipelines and automated deployments
Required for this Opportunity
  • TS/SCI clearance required
  • Bachelor’s degree (Computer Science preferred, or equivalent experience)
  • 4–6 years of experience in Agile software development
  • Strong experience with:
    • Python and Java
    • High-volume ETL solutions
    • AWS services (S3, RDS, EC2, Lambda)
    • SQL and relational databases (Postgre

      SQL or Oracle)
    • Linux environments (RHEL preferred) and shell scripting
    • JSON data formats and mediation techniques
    • Dev Sec Ops  tools such as Jenkins, Ansible, Terraform, and Vault
  • Ability to work onsite in Crystal City, VA 2-4 days per week
Nice to Have Skills
  • Experience supporting government or high-security environments
  • Familiarity with cloud-native data architectures
  • Strong written and verbal communication skills
Compensation

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member. The targeted base salary range for this role is $110,000-$166,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.

We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.

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