job summary: Job Summary We are seeking a highly skilled QA Data Engineer to join a top financial services organization and lead quality assurance (QA) efforts across data platforms and pipelines. This role will primarily focus on manual testing, validating complex datasets, and ensuring data accuracy, completeness, and integrity across systems. As the lead tester, you will work closely with data engineers, analysts, and business stakeholders to define test strategies, lead defect triage, and validate data transformations within SQL-driven environments. This is a hands-on position for a detail-oriented professional with deep experience in SQL, relational databases, and manual data validation. Candidates should bring a strong understanding of financial services data and be comfortable operating in a fast-paced, regulated enterprise environment. Key Responsibilities Lead and execute testing and quality assurance efforts for enterprise data applications and integrations.Design, maintain, and execute test plans and test cases, with a focus on manual data validation.Write and optimize complex SQL queries, PL/SQL, or T-SQL procedures to support repeatable and reliable data testing.Collaborate with development teams, architects, and business stakeholders to understand requirements and establish test strategies.Guide and support offshore QA teams in delivering high-quality solutions aligned to business goals.Drive end-to-end testing across domain and product teams.Participate in source control, code reviews, and contribute to a culture of quality and accountability.Partner with development teams to promote agile testing practices and accelerate Schwab's software development lifecycle (SDLC).Ensure quality through exploratory, regression, risk-based, and system-level testing.Contribute to the evolution of automation frameworks and tools, with a focus on scalability. Skills "Must Haves" 5-7 years of experience in Software Quality Assurance.5+ years of hands-on data and data integration testing experience.Expert-level SQL skills with experience writing and validating PL/SQL or T-SQL procedures.Knowledge of ETL tools, such as Informatica or similar.Strong understanding of QA practices including black-box, regression, and exploratory testing.Proficiency in an OOP language (e.g., Java, C#.NET, or Python).Experience coordinating with offshore QA teams and working in distributed environments.Strong verbal and written communication skills with the ability to partner across teams.Experience working in Agile and Iterative development environments.A proactive mindset with a passion for quality and continuous improvement. "Nice to Haves" Hands-on experience with DevOps and CI/CD tools, such as Jenkins, Bamboo, and Git.Familiarity with test automation tools or frameworks.Exposure to data governance or metadata management tools.Experience within financial services or regulated industries is a plus. Qualifications Bachelor's degree in Computer Science or a related field.Demonstrated ability to work independently in a fast-paced, high-stakes environment.Strong analytical and problem-solving abilities, with a focus on data accuracy and consistency.Commitment to innovation, learning, and building scalable testing solutions. location: Lone Tree, Colorado job type: Contract salary: $50 - 60 per hour work hours: 8am to 5pm education: Bachelors responsibilities: Job Summary We are seeking a highly skilled QA Data Engineer to join a top financial services organization and lead quality assurance (QA) efforts across data platforms and pipelines. This role will primarily focus on manual testing, validating complex datasets, and ensuring data accuracy, completeness, and integrity across systems. As the lead tester, you will work closely with data engineers, analysts, and business stakeholders to define test strategies, lead defect triage, and validate data transformations within SQL-driven environments. This is a hands-on position for a detail-oriented professional with deep experience in SQL, relational databases, and manual data validation. Candidates should bring a strong understanding of financial services data and be comfortable operating in a fast-paced, regulated enterprise environment. Key Responsibilities Lead and execute testing and quality assurance efforts for enterprise data applications and integrations.Design, maintain, and execute test plans and test cases, with a focus on manual data validation.Write and optimize complex SQL queries, PL/SQL, or T-SQL procedures to support repeatable and reliable data testing.Collaborate with development teams, architects, and business stakeholders to understand requirements and establish test strategies.Guide and support offshore QA teams in delivering high-quality solutions aligned to business goals.Drive end-to-end testing across domain and product teams.Participate in source control, code reviews, and contribute to a culture of quality and accountability.Partner with development teams to promote agile testing practices and accelerate Schwab's software development lifecycle (SDLC).Ensure quality through exploratory, regression, risk-based, and system-level testing.Contribute to the evolution of automation frameworks and tools, with a focus on scalability. Skills "Must Haves" 5-7 years of experience in Software Quality Assurance.5+ years of hands-on data and data integration testing experience.Expert-level SQL skills with experience writing and validating PL/SQL or T-SQL procedures.Knowledge of ETL tools, such as Informatica or similar.Strong understanding of QA practices including black-box, regression, and exploratory testing.Proficiency in an OOP language (e.g., Java, C#.NET, or Python).Experience coordinating with offshore QA teams and working in distributed environments.Strong verbal and written communication skills with the ability to partner across teams.Experience working in Agile and Iterative development environments.A proactive mindset with a passion for quality and continuous improvement. "Nice to Haves" Hands-on experience with DevOps and CI/CD tools, such as Jenkins, Bamboo, and Git.Familiarity with test automation tools or frameworks.Exposure to data governance or metadata management tools.Experience within financial services or regulated industries is a plus. Qualifications Bachelor's degree in Computer Science or a related field.Demonstrated ability to work independently in a fast-paced, high-stakes environment.Strong analytical and problem-solving abilities, with a focus on data accuracy and consistency.Commitment to innovation, learning, and building scalable testing solutions. qualifications: Qualifications Bachelor's degree in Computer Science or a related field.Demonstrated ability to work independently in a fast-paced, high-stakes environment.Strong analytical and problem-solving abilities, with a focus on data accuracy and consistency.Commitment to innovation, learning, and building scalable testing solutions. skills: Skills "Must Haves" 5-7 years of experience in Software Quality Assurance.5+ years of hands-on data and data integration testing experience.Expert-level SQL skills with experience writing and validating PL/SQL or T-SQL procedures.Knowledge of ETL tools, such as Informatica or similar.Strong understanding of QA practices including black-box, regression, and exploratory testing.Proficiency in an OOP language (e.g., Java, C#.NET, or Python).Experience coordinating with offshore QA teams and working in distributed environments.Strong verbal and written communication skills with the ability to partner across teams.Experience working in Agile and Iterative development environments.A proactive mindset with a passion for quality and continuous improvement. "Nice to Haves" Hands-on experience with DevOps and CI/CD tools, such as Jenkins, Bamboo, and Git.Familiarity with test automation tools or frameworks.Exposure to data governance or metadata management tools.Experience within financial services or regulated industries is a plus. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.