Quality Assurance Engineer

🕒 April 25

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 QA Engineer (Quality Assurance)

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Anika Systems

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏛️ Government

🤖 Artificial Intelligence

B2B • Government • Artificial Intelligence

Anika Systems is an outcome-driven technology solutions provider specializing in assisting Federal agencies in meeting their mission goals and preparing for the future. The company offers a range of services including Data and Analytics, Intelligent Automation, Application Development, IT Modernization, and Cloud Engineering. Anika Systems collaborates with Federal agencies to create long-term, innovative, and empowering solutions, focusing on delivering goals successfully on time and within budget. Their capabilities include data strategy, machine learning, cloud transformation, and more, leveraging partnerships with platforms like Microsoft Azure and Red Hat to enhance their offerings.

📋 Description

• 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