Data Quality Engineer: Automate, Validate & Elevate Data

Insperity; Houston (TX); On-site; USD 85,000 - 110,000; Full time

Job summary

Insperity is seeking a Data Quality Engineer to join our Data Engineering team. You will ensure delivered data products meet quality standards and implement tests across functional, integration, performance, and security areas.

You will collaborate with engineers, data scientists, and business users to maintain data quality metrics, while driving automation and scalable data delivery practices across cloud and on-prem environments.

Qualifications

• Bachelor's degree or four years of related work experience in BI/Data Engineering.
• Three to five years of professional experience in information systems with testing, developing, or maintaining enterprise software.
• Deep understanding of automated data quality and observability frameworks.
• Strong SQL skills and ability to automate testing in CI/CD pipelines using Python.

Responsibilities

• Participate in engineering data pipelines while ensuring quality metrics are met.
• Collaborate with stakeholders to embed quality dimensions into solutions.
• Design and implement process improvements focused on automation, data delivery, self-service, and scalability.
• Work with Executives, Product Management, and data teams to ensure quality across initiatives.
• Contribute to creation and testing of large, complex data sets to meet business needs.
• Ensure data security across implementations and environments.

Skills

SQL

Python

CI/CD

Data quality frameworks

Education

Bachelor's Degree in Computer Science or related field

Tools

Great Expectations

dbt

pytest

Talend

Job description

Insperity is seeking a Data Quality Engineer to join our Data Engineering team. You will ensure delivered data products meet quality standards and implement tests across functional, integration, performance, and security areas.

You will collaborate with engineers, data scientists, and business users to maintain data quality metrics, while driving automation and scalable data delivery practices across cloud and on-prem environments.