Data Quality Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified last checked Jun 13, 2026

Salary

Not verified

401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Quality Engineer Houston, TX, United States #LI-CR2 #LI-Hybrid CBIZ is seeking a detail-oriented and technically skilled Data Quality Engineer to join our Business Intelligence & Data Insights team. The ideal candidate will be responsible for ensuring the accuracy, consistency and reliability of enterprise data used for reporting, analytics and decision making. This role will focus on Data validation, quality control, monitoring and automation while partnering with the business to identify and resolve data issues. This position requires hands-on experience with Alteryx, SQL, and Power BI, as well as strong analytical and communication skills. Essential Functions and Primary Duties Perform data quality validation and testing for reporting, dashboards and datasets to ensure accuracy, completeness and reliability. Validate data consistency between systems, ensuring no duplication, misalignment or data integrity issues Monitor and troubleshoot data refreshes, identifying, investigating, and resolving data anomalies, inconsistencies, or errors. Support light dashboarding and ad hoc data pulls in Power BI and SQL to assist validation efforts and stakeholder inquiries Leverage Power BI and Power Query to analyze data models, understand data relationships and validate backend logic Use Power Automate to support workflow automation related to data validation, monitoring and alerts Collaborate with business units, finance, audit, and IT to understand data needs and provide actionable insights. Clean, transform, and prepare large data sets to support business analysis, decision-making, and reporting requirements. Document data sources, data flows, and analytical methodologies to ensure transparency and repeatability. Present analysis findings and recommendations to stakeholders in clear, understandable terms. Stay

Read the full description at ebez.fa.us2.oraclecloud.com. FewerJobs shows a source-linked preview and links to the original posting.