Infrastructure Engineer
$110,000–$166,000 year
Remote · United States
Job Summary
Senior-level Infrastructure/Data Analytics Engineer role supporting a federal client, focused on developing and deploying software in government environments, establishing data schemas and validation steps, and delivering scalable analytics solutions. Core duties include leading complex SQL optimization and advanced data modeling, managing robust ETL/ELT pipelines, leveraging big data technologies (Spark), enforcing governance and data quality, and mentoring engineers while communicating insights to senior leaders. The initial project involves supporting a federal customer as an Infrastructure Engineer with emphasis on data validation, schema maintenance, and production deployment in a government context. Required skills include Python (strong background), pandas, pandera, SQL, Postgres, Databricks, Spark, and experience handling large, messy data, with an active Secret Clearance. Nice-to-have: related certifications. The role offers a path to impactful government-focused projects and a competitive base salary with comprehensive benefits.
Required Qualifications
- Bachelor’s Degree in Computer Science (or closely related degree)
- At least 5+ years of experience in Data Engineering
- Experience with Python, pandas, pandera, SQL, Postgres, Databricks, and Spark
- Strong Python background
- Experience with messy data and large data workflows (100GB+)
- Active Secret Clearance
Desired Qualifications
- Active Secret Clearance
- 5+ years of Data Engineering experience
- Bachelor's Degree in Computer Science or closely related field
- Proficiency with Python, pandas, pandera, SQL, Postgres, Databricks, and Spark
- Experience with large data workflows (100GB+)
- Experience delivering data analytics solutions in government environments
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.