Data Engineer

Applied Information Sciences; United States; Remote; USD 110,000 - 166,000; Full time

Job summary

Applied Information Sciences seeks a Senior Data Analytics Engineer to design, build, and maintain scalable data pipelines and backend services in a government-grade, cloud-based environment. You will develop high-volume data solutions using big data tools and modern architectures, delivering analytics for mission-critical systems.

The role requires TS/SCI clearance, a BS in Computer Science or equivalent, 4–6 years of Agile software experience, and onsite work in Crystal City, VA 2–4 days per

Qualifications

• TS/SCI clearance required.
• Bachelor’s degree in Computer Science preferred, or equivalent experience.
• 4–6 years of experience in Agile software development.
• Strong experience with data engineering, ETL/ELT, and big data tools (e.g., Spark).
• Ability to work onsite in Crystal City, VA 2–4 days per week.

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 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.

Skills

Agile software development

Data engineering

SQL optimization

ETL/ELT

Big data & analytics

Education

Bachelor's degree in Computer Science or equivalent

Tools

Spark

REST

SOAP

GraphQL

CI/CD/DevSecOps

Job description

Why AIS?

When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

• Employee Ownership : Your contributions directly impact the company’s success, and you share in its achievements.
• Continuous Learning : Access to resources, training, and mentorship to support your professional growth.
• Inclusive Culture : A workplace where diversity is celebrated, and everyone’s voice is valued.
• Mission-Driven Work : Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?

At AIS, we’re looking for more than just skills - we’re looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

What you will be doing?

_ 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. _

At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior Data Analytics 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.

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

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:
• 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

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.