Data Engineer

AIS (Applied Information Sciences); Washington (District of Columbia); Hybrid; USD 110,000 - 166,000; Full time

Job summary

AIS (Applied Information Sciences) is seeking a Senior Data Analytics Engineer to join their team in Washington, DC. The ideal candidate is expected to have a Bachelor's degree and at least 5 years of experience in Data Engineering. This role involves developing and deploying software in government environments and setting up data validation steps.

The role offers a hybrid work arrangement, and the salary range is competitive, targeting between $110,000 and $166,000 annually. Candidates must be comfortable working with large data workflows and hold an Active Secret Clearance.

Qualifications

• 5+ years of experience in Data Engineering.
• Experience with Python, pandas, and SQL.
• Strong ability to work with messy data and disparate sources.

Responsibilities

• Develop and deploy software into production in government environments.
• Set up data validation steps.
• Establish and maintain schemas.

Skills

SQL Optimization

Data Modeling

ETL/ELT Processes

Big Data Technologies

Machine Learning

Python

Pandas

Databricks

Education

Bachelor’s Degree in Computer Science

Tools

Postgres

Spark

Job description

Senior Data Analytics Engineer – Role Overview

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

AIS is seeking a Data Engineer for an AI Engineering contract supporting a federal customer in a hybrid role in the DC/Maryland/Virginia (DMV) area.

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.