Data QA Engineer

Job#: 3032188

Job Description:

Data QA Engineer

Location: Denver, Colorado (Onsite)

Employment Type: Permanent

Role Overview

As a Data Quality Assurance Engineer, you will play a critical role in ensuring the reliability, accuracy, and scalability of complex data systems. You will focus on validating data pipelines, ETL processes, and analytics outputs across large-scale data platforms. Partnering closely with data engineers, analytics teams, and product stakeholders, you will help embed quality practices throughout the data lifecycle while contributing to existing automation frameworks and mentoring others on data-focused QA methodologies.

This role requires strong problem-solving skills, hands-on data validation experience, and the ability to reason about data quality in distributed and big-data environments.

Key Responsibilities

• Design and execute data-focused test strategies for complex and ambiguous data pipelines, ETL workflows, and analytics use cases.
• Contribute to an existing automation framework.
• Work with data pipelines, PySpark, big data, SQL, and ETL processes.
• Design test plans that split work into parallel, independent tasks.
• Anticipate and prevent future defects through strategic test planning.
• Partner with development teams to establish the quality bar for products.
• Create instrumentation to measure quality, both pre-release and in production.
• Improve engineer efficiency and share best practices across teams.
• Actively mentor and develop others, improving their test knowledge and engineering practices.

Required Qualifications

Experience: 5+ years of QA experience.

Technical Skills:

• Hands-on experience testing data pipelines, ETL processes, and large datasets.
• Strong SQL skills and experience with data dashboards.
• Python scripting.
• Experience with test automation, scripts, and test case design.
• Proficiency using Python for test development and problem-solving (live coding, logic-based use cases)
• Solid understanding of QA methodologies, test case design, and validation strategies for data systems
• Experience working in big data environments (data lakes, distributed systems, or large-scale datasets)
• Strong analytical, problem-solving, and communication skills

Preferred Qualifications

• A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• Experience with Databricks or AWS.
• Expertise in advanced test automation architecture and frameworks.
• Experience with DevOps practices and tools for continuous testing.
• Knowledge of machine learning testing approaches.
• Experience with service virtualization and mock services.
• Demonstrated ability to establish quality gates and metrics in CI/CD pipelines.

Compensation & Benefits

Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.

Apex uses a virtual recruiter as part of the application process. Click for more details.

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