Data Analyst/QA Engineer

Job not on LinkedIn

🕒 June 10

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Logo of Simple Technology Solutions

Simple Technology Solutions

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Simple Technology Solutions is a HUBZone small business that specializes in IT modernization and digital experience for government operations. They focus on digitalizing government processes using cloud-native technologies and Agile practices to deliver full-stack digital solutions. The company emphasizes security, scalability, and interoperability in its enterprise approach. They work on enhancing cloud environments, migrating legacy IT systems, and promoting DevSecOps practices. Additionally, Simple Technology Solutions develops enterprise data management strategies using machine learning and AI, modernizes applications, and provides cloud contact center services. They primarily serve federal government agencies, particularly in law enforcement and public safety missions.

📋 Description

• Design, develop, and maintain automated data quality checks using AWS Glue data quality tools • Perform schema validation for applicable filings prior to ingestion • Monitor production ETL pipelines and ensure ETL Load Reports are populated in real-time • Create, maintain, and execute test cases and automated tests that verify all user-facing platform functionality • Conduct static code analysis and dependency analysis to identify bugs, vulnerabilities, and data quality risks • Support the agency's IV&V process: prepare IV&V Questionnaires, coordinate test submissions • Validate that ETL metadata, data models, data dictionaries, and all required documentation are complete and accurate

🎯 Requirements

• US Citizenship is required • Bachelor's Degree is required • minimum of 3-5 years' position related experience is required • proficiency in SQL 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 (Deequ, Great Expectations) • hands-on experience with CI/CD-integrated automated testing frameworks • experience supporting IV&V, UAT, or formal government acceptance testing processes • familiarity with schema validation for XML datasets • experience with large-scale financial or regulatory datasets is a strong plus • familiarity with FISMA, NIST 800-53, OWASP ASVS Level 2, and federal secure software development standards • must be able to work 8am-5pm Eastern Time regardless of home location • active federal public trust suitability determination or ability to obtain one required

🏖️ Benefits

• flexibility to help them thrive personally and professionally • collaboration • continuous learning • excellence • special incentives for HUBZone team members

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