job summary: Our Randstad client in Washington, DC is seeking a Data Quality Automation Engineer to lead the design and implementation of automated data validation, profiling, and anomaly detection pipelines. This role will play a critical part in ensuring data integrity across modern data platforms including Databricks, SAP DataSphere, and Informatica Cloud. The ideal candidate will have strong technical skills in Python and SQL, a solid understanding of data governance, and experience working cross-functionally with engineering, governance, and business teams to embed quality and compliance into every stage of the data lifecycle. location: Washington, Washington, D.C. job type: Contract salary: $28 - 34 per hour work hours: 9am to 5pm education: Associates responsibilities: Design and implement scalable, automated data quality pipelines to proactively identify and resolve data issues Build reusable components for anomaly detection, rule enforcement, and schema validation Translate data governance policies (e.g., certified sources, critical fields) into enforceable technical rules Integrate quality checks across tools like Databricks, SAP DataSphere, and Informatica Cloud, while remaining adaptable to evolving tech stacks Partner with data engineers, governance teams, analysts, and product owners to align quality expectations and deliver trusted data Track, document, and report on data quality metrics, including rule compliance and issue resolution Leverage tools such as Great Expectations or AWS Deequ to implement data quality frameworks Use Python and SQL to create profiling scripts and validation logic Support enterprise adoption of certified datasets and enforce ownership and stewardship rules Promote a culture of data accountability by embedding data health metrics into engineering workflows qualifications: 5+ years of experience in data engineering, data quality, or data governance roles Strong proficiency in Python and SQL for data validation and pipeline development Hands-on experience with data quality frameworks such as Great Expectations, Deequ, or similar tools Prior experience working with modern data platforms such as Databricks, SAP DataSphere, and Informatica Cloud Experience integrating data quality checks into CI/CD workflows and modern data pipelines Familiarity with cloud data ecosystems (AWS, Azure, or GCP) Working knowledge of data governance principles, including critical data elements, certified datasets, and ownership models Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or related field Experience operationalizing data health metrics and quality dashboards for technical and business stakeholders Preferred certifications: Microsoft Azure Data Engineer Associate AWS Certified Data Analytics - Specialty Informatica Data Quality Developer Certification Databricks Lakehouse Fundamentals skills: Programming Proficiency - Strong skills in Python and SQL Data Quality & Profiling Expertise - Experience with data validation and anomaly detection Cloud Platform Knowledge - Familiarity with AWS, Azure, or GCP Tool Flexibility - Comfortable working with tools like Databricks, SAP DataSphere, and Informatica Problem Solving - Strong analytical and troubleshooting capabilities Collaboration - Works effectively with cross-functional teams Communication Skills - Able to explain technical concepts to non-technical stakeholders Requirements Gathering - Skilled at translating business needs into technical quality rules Automation Mindset - Focus on scalable, reusable quality solutions Attention to Detail - Consistently ensures data accuracy and integrity across systems 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.