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Salary
$90k – $202k per year
Location
Hybrid (Chantilly, United States)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 25, 2026. First seen by Alion on Sep 25, 2026. AnaVation scores A on the Alion truth index.

Overview
Company
Impact
Profile match
To accomplish our mission, we focus on two things: our customers and our employees. To Our Customers: We are committed to: Providing unparalleled service Ensuring that our work directly supports our customer's mission Delivering exceptional val...

Description of Task to be Performed:

We are seeking a talented and motivated ETL Engineer to design, build, and optimize high-performance data pipelines and ETL processes powering a web-based search and analytics application. This role requires the extraction, transformation, and loading of data from various sources (including relational databases and file formats), developing data adapters in Python, and fine-tuning workflows for speed and scale.

This position is hybrid with one to three days per week in Chantilly VA.

The position requires a Top Secret clearance and SCI eligibility with the ability to pass a CI polygraph.

Required Qualifications:

  • Active Top Secret clearance and SCI eligibility with the ability to pass a CI polygraph.
  • Bachelor’s degree in computer science, Information Systems, Engineering, or related field (or equivalent experience).
  • 5+ years of experience in data engineering, including
  • Building ETL/ELT pipelines
  • SQL query optimization
  • Working with relational databases such as Oracle, PostgreSQL, MySQL, or MSSQL
  • Experience with high level languages such as Python, Java or C#.
  • 3+ years of experience in Python development, with a focus on ETL processes.
  • Experience with Elasticsearch or OpenSearch.
  • Experience with version control systems (e.g. GIT) and collaborative coding practices.
  • Experience working in an Agile Scrum environment.
  • Experience with scripting languages (e.g., Bash).
  • Experience with containerization technologies (e.g., Docker).
  • Experience working in Linux environments.

Preferred Qualifications:

  • Knowledge of data quality, validation and monitoring frameworks, along with data governance, metadata management, and data lineage best practices.
  • Strong understanding of data transformation, cleansing, and normalization concepts.
  • Experience with data warehousing, big data frameworks, and API-based data integration from enterprise source systems.
  • Excellent problem-solving skills and attention to detail.
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