Infrastructure Engineer

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.

 

Working@AIS
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 Infrastructure Engineer. Project Summary

AIS is seeking a Infrastructure/ Data Engineer for an AI Engineering contract supporting a federal customer this is a remote role.

Key Responsibilities

• Develop and deploy software into production in government environments.

• Set up data validation steps.

• Establish and maintain schemas.

Required For This Opportunity

• Bachelor’s Degree in Computer Science (or closely related degree).

• At least 5+ 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.

Nice to Have Skills

• A related certification is preferred but not required.  

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.