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RADcube, based in Carmel, Indiana, is seeking a Data QA/ETL Tester to validate data pipelines and ensure data quality for affiliate projects in an enterprise setting.
You will design test strategies, implement automated tests, and maintain documentation to support GxP/CSV standards where applicable. Candidates should have 4+ years in data QA/ETL testing, strong SQL and Python skills, and AWS familiarity.
Indianapolis, United States | Posted on 10/30/2026
Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.
With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing. Their core service portfolio includes:
Digital Transformation and strategy consulting.
Custom Software Development tailored to specific business needs.
Advanced Data Analytics and AI-driven platforms.
Cybersecurity and risk management.
Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.
The company’s commitment to innovation has earned significant industry honors:
2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.
Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.
Ensurequality and validation of data pipelines and deliverables across Affiliateprojects.
Musthave: 4+yrs data QA/ETL testing, SQL, Python or PyTest, AWS familiarity.
Nice tohave: pharma validation (CSV/CSA)