Data Quality Engineer: Benchmarking & Automation Lead

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

Job summary

Delart is seeking a Data Quality Engineer to safeguard benchmark data integrity across large-scale device testing. You will implement validation plans, automate checks in Python, and own analytics reporting for product engineering teams.

You’ll run daily reviews of 50+ devices, troubleshoot automation issues, and help scale data-quality standards across lab operations and testbeds. A strong background in data analysis and CI/CD is essential.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a related technical discipline.
• 5+ years of hands-on experience in data quality engineering, QA automation, test engineering, data analysis, or similar roles.
• Proficiency with Python for automation, test scripting, and advanced data analysis (including debugging and maintaining codebases).
• Solid knowledge of SQL for querying, inspecting, and validating measurement and test-run data.
• Experience building and operating automated data-quality checks, dashboards, alerting, or reporting.
• Experience with CI/CD-driven test infrastructures or modern data pipelines.
• Strong troubleshooting ability across software, configuration, environment, and hardware domains.
• Excellent written and verbal communication for technical reporting.

Responsibilities

• Define and implement data-quality checks, acceptance criteria, and validation plans grounded in benchmarking requirements and product-team expectations.
• Run daily operational reviews of 50+ devices under continuous test automation, investigating anomalies and lab variances.
• Systematically validate large-scale benchmark datasets, using statistical analyses to identify regressions and misaligned results.
• Develop, deploy, and maintain automated data-quality checks, alerting systems, and dashboards to track data integrity and trends.
• Generate and communicate analytical reports on benchmarking outputs, highlighting quality risks and actionable findings.
• Build Python-based automation and tooling for continuous benchmarking across multiple device form factors.
• Investigate root causes of anomalous data and distinguish genuine performance from artifacts.
• Review video capture logs to validate outcomes and troubleshoot scenario failures.
• Operate and monitor CI/CD-driven test environments, ensuring stability and rapid issue resolution.
• Document validation protocols, triage guides, and reporting workflows for scalable operation.
• Collaborate with lab ops, networking, and product teams to establish data-quality standards.

Skills

Data quality experience

Data validation

Troubleshooting

Communication

Mentoring

Device benchmarking

CI/CD pipelines

Automation

Test scripting

Education

Bachelor's degree in Computer Science or related field

Master's degree in Data Science/CS/EE

Tools

Python

SQL

Appium

Job description

Delart is seeking a Data Quality Engineer to safeguard benchmark data integrity across large-scale device testing. You will implement validation plans, automate checks in Python, and own analytics reporting for product engineering teams.

You’ll run daily reviews of 50+ devices, troubleshoot automation issues, and help scale data-quality standards across lab operations and testbeds. A strong background in data analysis and CI/CD is essential.