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Data Analyst/QA Engineer

3 weeks ago
United States
Full-time
Mid Level
Data Analyst
Data Science and Analytics
Agile AWS CI/CD GitHub JIRA Python SQL Trino XML
Apply Now
Simple Technology Solutions

Simple Technology Solutions

Simple Technology Solutions specializes in Enterprise Cloud Transformation, providing innovative solutions to enhance organizational efficiency and scalability in the cloud computing sector.

IT Services
51-250
Founded 2013
View All Jobs 3

Description

  • Design, develop, and maintain automated data quality checks using AWS Glue data quality tools, including Deequ, for all ingested datasets.
  • Perform schema validation before ingestion and manage data load exceptions with written approval from Data Stewards.
  • Implement custom dataset-level data quality checks defined by Data Officers and Data Stewards.
  • Monitor production ETL pipelines and ensure ETL Load Reports and ETL Gap Reports are accurate and up to date.
  • Create, maintain, and execute test cases, automated tests, unit tests, and integration tests for user-facing platform functionality.
  • Ensure new code meets the minimum 90% test coverage threshold.
  • Conduct static code analysis and dependency analysis to identify bugs, vulnerabilities, and data quality risks early.
  • Run security scans at least once per sprint as part of the Definition of Done.
  • Support the agency’s IV&V process by preparing questionnaires, coordinating test submissions, and managing findings through resubmission timelines.
  • Support UAT coordination, track IV&V and UAT iteration counts, and collaborate with Data Officers, Data Stewards, and the IV&V team to resolve data quality findings.

Requirements

  • US citizenship is required.
  • Bachelor’s degree or higher in Computer Science, Information Systems, Data Analytics, or a related field.
  • 3–5 years of experience in data quality engineering, QA engineering, or data analytics in a technical, data-intensive environment.
  • Strong SQL proficiency for data validation, gap analysis, record count reconciliation, and ad hoc query development.
  • Experience with Python for test scripting and data analysis.
  • Experience with AWS Glue data quality tools or equivalent frameworks such as Deequ or Great Expectations.
  • Hands-on experience with CI/CD-integrated automated testing frameworks.
  • Ability to build unit and integration tests that achieve 90% code coverage.
  • Experience supporting IV&V, UAT, or formal government acceptance testing processes; direct federal program experience is strongly preferred.
  • Familiarity with schema validation for XML datasets.
  • Experience with Trino, Athena, or equivalent query engines for validating large-scale data lake tables.
  • Ability to produce complete test documentation, including test plans, test cases, test results, and IV&V questionnaires.
  • Familiarity with FISMA, NIST 800-53, OWASP ASVS Level 2, and federal secure software development standards.
  • Experience with large-scale financial or regulatory datasets is a strong plus.
  • Familiarity with Section 508 accessibility compliance standards is a plus.
  • Must be able to work 8am–5pm Eastern Time regardless of home location.
  • Active federal public trust suitability determination or ability to obtain one is required.
  • This position is contingent upon contract award.

Benefits

  • Flexible work culture that supports personal and professional life balance.
  • Recognition as a “Best Place to Work.”
  • HUBZone incentives for team members living in qualified HUBZones.
  • Commitment to collaboration, continuous learning, mentorship, and professional growth.
  • Equal employment opportunity and merit-based employment practices.
  • Coverage of recruiting, hiring, placement, promotion, compensation, training, transfer, discipline, termination, layoff, recall, and leave decisions without discrimination.

Interested in this position?

Apply directly on the company website

Apply Now

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