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Arlington, Virginia, United States
Hybrid
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.
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.
Core Knowledge & Skills: Uses basic SQL, data structures, and ETL support; performs data collection, cleaning, and simple reporting; writes basic scripts (e.g., Python/R); documents sources, methods, and results.
Work & Complexity: Executes well-defined tasks (queries, ETL assistance, basic visualizations) with close supervision; solves low-complexity problems using established procedures.
Quality & Independence: Delivers accurate, reproducible outputs with clear documentation; follows defined processes; limited decision authority.
Teamwork & Communication: Collaborates with teammates, supports seniors, shares updates clearly, and seeks feedback to improve.
Consulting & Engagement: Provides entry-level assistance on data tasks, learns consulting basics, and participates in feedback sessions.
AIS is seeking a Infrastructure/ Data Engineer for an AI Engineering contract supporting a federal customer this is a remote role.
Develop and deploy software into production in government environments.
Set up data validation steps.
Establish and maintain schemas.
Bachelor’s Degree in Computer Science (or closely related degree).
At least 3+ years of experience in Data Engineering.
Must have experience with Python, pandas, pandera, SQL, Postgres, Databricks, and Spark.
Must have a strong Python background.
Must have strong experience working with messy data, disparate data sources, establishing and maintaining schemas, and setting up data validation steps.
Must be comfortable working with large data workflows (100GB+).
Must have an Active Secret Clearance.
A related certification is preferred but not required.
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.