Data Quality Engineer: Lead Benchmarking & Automation

Delart; Menlo Park (CA); On-site; USD 125,000 - 170,000; Full time

Benefits offered by this job

Medical insurance (PPO/HMO)

Dental & Vision coverage

401(k) matching

Paid time off

Job summary

Delart is seeking a Data Quality Engineer to guard the health and integrity of benchmark data across large-scale device testing operations. The role combines advanced data analysis, Python automation, and operational ownership to deliver reliable data for product engineering teams.

You will implement data-quality checks, run daily reviews for 50+ devices, and develop dashboards to track device health and trends. Strong Python and SQL skills, plus CI/CD experience, are essential.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or related technical field.
• 5+ years in data quality engineering, QA automation, test engineering, data analysis, or similar roles.
• Experience validating large datasets, identifying anomalies and communicating findings.
• Proficiency with Python for automation and data analysis, including debugging.
• Solid SQL skills for querying and validating test data.
• Experience with CI/CD-driven test infrastructures or data pipelines.

Responsibilities

• Define and implement data-quality checks, acceptance criteria, and validation plans.
• Run daily reviews of devices under test automation, investigating anomalies.
• Validate large-scale benchmark datasets using statistical analysis.
• Develop, deploy, and maintain automated data-quality checks and dashboards.
• Generate analytical reports on benchmarking outputs for stakeholders.
• Build Python-based automation and tooling for continuous benchmarking across devices.
• Investigate root causes of anomalous data and distinguish artifacts from real issues.
• Review video capture logs to validate outcomes and troubleshoot failures.
• Monitor CI/CD test environments and document validation protocols.

Skills

Data quality engineering

QA automation

Python

SQL

CI/CD

Education

Bachelor’s degree

Master’s preferred

Job description

Delart is seeking a Data Quality Engineer to guard the health and integrity of benchmark data across large-scale device testing operations. The role combines advanced data analysis, Python automation, and operational ownership to deliver reliable data for product engineering teams.

You will implement data-quality checks, run daily reviews for 50+ devices, and develop dashboards to track device health and trends. Strong Python and SQL skills, plus CI/CD experience, are essential.