Data Engineer

AIS (Applied Information Sciences); Virginia (MN); Hybrid; USD 110,000 - 166,000; Full time

Job summary

AIS (Applied Information Sciences) seeks a Senior Data Analytics Engineer in Virginia, focused on designing and maintaining scalable data solutions for law enforcement customers. The role emphasizes core competencies in SQL, advanced data modeling, and big data technologies, alongside a commitment to data governance and quality.

The ideal candidate will thrive in Agile environments, lead cross-functional teams, and communicate effectively with senior leaders. The targeted base salary for this position ranges from $110,000 to $166,000 annually.

Qualifications

• TS/SCI clearance required.
• 4–6 years of experience in Agile software development.
• Ability to work onsite in Crystal City, VA 2-4 days per week.
• Strong written and verbal communication skills.

Responsibilities

• Support the unique needs of clients as a Data Engineer.
• Design, build, and maintain scalable data solutions.
• Collaborate with Agile teams to deliver data solutions in two-week sprints.
• Develop scalable, high-performance ETL solutions.

Skills

Python

Java

High-volume ETL solutions

AWS services

SQL

Linux environments

Shell scripting

DevSecOps tools

Education

Bachelor’s degree in Computer Science or equivalent experience

Tools

PostgreSQL

Oracle

Jenkins

Ansible

Terraform

Vault

Job description

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 DevSecOps 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 (PostgreSQL or Oracle)
  • Linux environments (RHEL preferred) and shell scripting
  • JSON data formats and mediation techniques
  • DevSecOps 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.