Quality Assurance Engineer
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Job Description
Quality Assurance Engineer at Anika Systems designing automated testing frameworks for federal clients. Focused on data validation, automation, and AI-driven workflows in cloud architectures.
Responsibilities:
- Design, develop, and maintain automated QA frameworks for data pipelines, APIs, and analytics platforms using Python and SQL.
- Build reusable testing utilities for data validation, regression testing, and pipeline certification.
- Integrate automated tests into CI/CD pipelines to support continuous testing and deployment.
- Validate ETL/ELT pipelines to ensure accurate ingestion, transformation, and delivery of data.
- Develop test strategies for Apache Iceberg-based data lakehouse architectures.
- Validate AI-generated metadata, lineage, and transformations for accuracy and traceability.
- Collaborate with data and AI teams to test data pipelines supporting RAG, analytics, and machine learning workflows.
Requirements:
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
- 5+ years of experience in QA engineering, data testing, or software development
- Strong programming skills in Python and advanced proficiency in SQL
- Experience building automated test frameworks for data platforms and ETL pipelines
- Hands-on experience with AWS data services (S3, Glue, Redshift, Lambda, etc.)
- Experience validating materialized views and performance-optimized data structures.
- Understanding of data modeling, metadata, and data governance principles.
- Proficiency with AI tools and AI-assisted development/testing workflows.
- U.S. Citizenship required; ability to obtain and maintain a federal clearance.
Benefits:
- Remote work available
- Collaborate with cross-functional teams
- Professional development opportunities
- Flexible work arrangements
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