Data Quality Engineer

Insperity provides the most comprehensive suite of scalable HR solutions available in the marketplace with an optimal blend of premium HR service and technology. With more than 90 locations throughout the U.S., Insperity is currently making a difference for thousands of businesses and communities nationwide. Behind our success is the unshakeable belief in the value of our people. We value diversity, inclusivity and a sense of belonging. We celebrate work and life events, and we partner with our clients and communities to make great things happen. We’ve earned recognition time and again as a top place to work—named among the best by respected organizations like Glassdoor and U.S. News & World Report. We’re also proud to be recognized for one of the country’s Top 50 Midsize Early Talent Programs through RippleMatch’s Campus Forward Awards. There’s never been a better time to be part of Insperity, and our best work is still ahead. Learn more at . Why Insperity? Flexibility: Over 80% of Insperity’s jobs have flexibility. We want your time to have balance, whether it’s spent with coworkers, clients, family or your community. Career Growth: Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training. Well-Being: Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more. We take care of our people so that you can do your best work. We are seeking a Data Quality Engineer to join our team Summary This position is responsible for ensuring delivered products meet or exceed quality standards. Implements quality mechanisms such as functional, integration, performance, security, and other tests as part of the Data Engineering organization. Ensures data quality metrics and indicators are available for easy consumption by internal and external customers. Collaborates regularly with engineers, architects, analysts, data scientists, and business users across various data initiatives to ensure data quality practices remain consistent. Responsibilities: Participates in the engineering of data pipelines while ensuring the quality metrics are sufficiently met. Partners with stakeholders to ensure quality dimensions are understood and engineered into solutions. Identifies, designs, and implements process improvements with a heavy focus on automation, data delivery optimization, self-service, and scalability. Works seamlessly with stakeholders including Executives, Product Management, Centers of Excellence, and others. Participates in creation and testing of large, complex data sets to meet business requirements. Ensures data security across all implementations, data centers, cloud providers, client machines, etc. Collaborates with team members as we build and optimize our data assets into an innovative competitive advantage. Qualifications: Bachelor's Degree in Computer Science, a related field, or four years of related work experience in the Business Intelligence/Data Engineering field specifically, is required. Three to five years of professional experience in information systems is required with at least one (1) years’ experience testing, developing, architecting, managing, or maintaining enterprise grade software systems, database administration, or similar discipline. Deep understanding and practical experience with common automated data quality and observability frameworks, e.g. Great Expectations, dbt, pytest, Talend, or similar. Deep understanding and practical experience with SQL. Ability to automate testing and integrate within CICD pipelines, primarily using Python. Understanding of various ‘big data’ management tools/techniques, e.g. Hadoop, Snowflake, Redshift, Tableau, PowerBI, Databricks, etc. Strong consensus building skills and the ability to find common ground or mutual agreement across complex topics involving compromise, negotiation, and similar tactics. Exhibits a passion for learning and continuous improvement. Takes responsibility for acquiring new skills and broadening knowledge. Exhibits a commitment to the utilization of defined standards and processes. Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms and maintain effective work relations with those encountered in the course of employment. Proactive at identifying and recommending areas for improvement and increased reliability. Ability to create technical documentation and a desire to share knowledge amongst team members. Understanding of data governance principles. At Insperity, we celebrate the diversity of our employees and our leadership. Insperity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.