Lead Backend Data QA & Performance Engineer

Peraton

Herndon (VA)

On-site

USD 104,000 - 166,000

Full time

5 days ago
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Job summary

Peraton is seeking a Lead Associate Test Engineer focused on backend data validation for large-scale CMS applications. You will validate data systems, perform ETL checks, and benchmark performance while partnering with DBAs, analysts, and delivery teams to meet program and CMS standards.

You will implement testing processes, generate detailed reports, and drive continual improvement through metrics analysis in an Agile environment, supporting enterprise data initiatives and security requirements.

Qualifications

  • 5+ years in backend data testing or data QA roles.
  • Strong SQL skills with PostgreSQL and Snowflake.
  • Experience with big data environments (Databricks, Snowflake).
  • Backend performance testing, workload analysis, and benchmarking.
  • Proficient with Jira, Confluence, and Slack.
  • Experience in Agile or SAFe environments.
  • Translate user stories into backend test cases with clear acceptance criteria.
  • U.S. Citizenship or Green Card for Public Trust clearance.

Responsibilities

  • Validate and assess backend data systems for accuracy, integrity, and performance.
  • Collaborate with Data Coaches, Analysts, DBAs, and Agile teams to ensure compliance.
  • Implement testing processes and produce reports with test metrics.
  • Monitor process improvements through failure, throughput, and yield analysis.

Skills

Backend data testing
SQL
Big data environments
Performance testing
Agile / SAFe
Communication
Independent work

Education

BS/BA
MS/MA
PhD

Tools

Jira
Confluence
Slack
Tableau
Grafana
Burp Suite
Postman
TestRail

Job description

Peraton is seeking a Lead Associate Test Engineer focused on backend data validation for large-scale CMS applications. You will validate data systems, perform ETL checks, and benchmark performance while partnering with DBAs, analysts, and delivery teams to meet program and CMS standards.

You will implement testing processes, generate detailed reports, and drive continual improvement through metrics analysis in an Agile environment, supporting enterprise data initiatives and security requirements.

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