Eliassen Group
QA Lead – Enterprise Data & AI Platform
Anywhere
Contract / Quality Assurance (QA) / Education
Remote
Rate: $55 - $63 / hr. w2
Our client is a leading institution of higher education dedicated to providing accessible, career-focused learning opportunities for working adults and servicemembers around the world. With a strong emphasis on innovation, flexibility, and digital transformation, they deliver high-quality online and hybrid degree programs designed to meet the evolving needs of today’s learners. The organization fosters a collaborative environment where education, technology, and real-world application intersect to empower students to achieve their professional and personal goals.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Responsibilities
Own and lead QA efforts across data lakes, pipelines, and AI/ML solutions built on Databricks.
Design, develop, and execute test strategies for data ingestion, transformation, and output validation.
Perform data validation and data pipeline testing—not just migration checks, but end-to-end functional validation.
Conduct testing for Power BI dashboards and reports, ensuring accuracy, reliability, and performance.
Utilize Azure Purview for data governance and lineage validation, ensuring compliance and data quality standards.
Leverage Prophecy for Master Data Management (MDM) to support and validate master data integrity.
Apply Monte Carlo simulation techniques for data testing, anomaly detection, and validation of statistical models.
Collaborate with Data Engineers, Data Scientists, and Product Owners to align testing with AI/ML training, modeling, and deployment workflows.
Define and implement QA processes, best practices, and automation frameworks within a SAFe Agile environment.
Provide leadership and mentorship to QA analysts; help shape the future structure of the QA function.
Experience Requirements
5+ years of experience in QA and data testing, preferably in large-scale data platforms.
Hands‑on experience with Databricks—including testing data lakes, pipelines, and AI workflows.
Strong understanding of data pipelines, ETL/ELT processes, and validation techniques.
Azure Purview experience (please specify number of years).
Prophecy for MDM experience (please specify number of years).
Experience in Power BI testing for dashboards and reports.
Familiarity with Monte Carlo methods for data reliability and performance validation.
Experience in AI/ML model training, testing, and validation.
Solid knowledge of SQL and Python for data validation and automation scripting.
Proven ability to collaborate across engineering, data, and product teams in an Agile environment.
Education Requirements Bachelor's degree and 5+ years of relevant experience is required for this opportunity.
Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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Contract / Quality Assurance (QA) / Education
Remote
Rate: $55 - $63 / hr. w2
Our client is a leading institution of higher education dedicated to providing accessible, career-focused learning opportunities for working adults and servicemembers around the world. With a strong emphasis on innovation, flexibility, and digital transformation, they deliver high-quality online and hybrid degree programs designed to meet the evolving needs of today’s learners. The organization fosters a collaborative environment where education, technology, and real-world application intersect to empower students to achieve their professional and personal goals.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Responsibilities
Own and lead QA efforts across data lakes, pipelines, and AI/ML solutions built on Databricks.
Design, develop, and execute test strategies for data ingestion, transformation, and output validation.
Perform data validation and data pipeline testing—not just migration checks, but end-to-end functional validation.
Conduct testing for Power BI dashboards and reports, ensuring accuracy, reliability, and performance.
Utilize Azure Purview for data governance and lineage validation, ensuring compliance and data quality standards.
Leverage Prophecy for Master Data Management (MDM) to support and validate master data integrity.
Apply Monte Carlo simulation techniques for data testing, anomaly detection, and validation of statistical models.
Collaborate with Data Engineers, Data Scientists, and Product Owners to align testing with AI/ML training, modeling, and deployment workflows.
Define and implement QA processes, best practices, and automation frameworks within a SAFe Agile environment.
Provide leadership and mentorship to QA analysts; help shape the future structure of the QA function.
Experience Requirements
5+ years of experience in QA and data testing, preferably in large-scale data platforms.
Hands‑on experience with Databricks—including testing data lakes, pipelines, and AI workflows.
Strong understanding of data pipelines, ETL/ELT processes, and validation techniques.
Azure Purview experience (please specify number of years).
Prophecy for MDM experience (please specify number of years).
Experience in Power BI testing for dashboards and reports.
Familiarity with Monte Carlo methods for data reliability and performance validation.
Experience in AI/ML model training, testing, and validation.
Solid knowledge of SQL and Python for data validation and automation scripting.
Proven ability to collaborate across engineering, data, and product teams in an Agile environment.
Education Requirements Bachelor's degree and 5+ years of relevant experience is required for this opportunity.
Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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