Data Quality Engineer - Benchmark Automation & Analytics

Delart; Menlo Park (CA); Sur place; USD 125 000 - 170 000; Plein temps

Avantages offerts par ce poste

Premium medical insurance

Dental and vision coverage

Company‑matched 401(k)

Generous paid time off

Résumé du poste

Delart is seeking a Data Quality Engineer in Menlo Park, CA to safeguard benchmark data integrity for large‑scale device testing. The role combines data analysis, Python automation, and operational ownership to ensure health and actionable insights across datasets used by product engineers.

The position requires strong Python and SQL skills, experience with CI/CD environments, and a track record of building automated checks, dashboards, and reports.

Qualifications

• Bachelor’s degree in CS, 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.
• Solid knowledge of SQL for querying, inspecting, and validating measurement and test‑run data.
• Experience developing and operating automated data‑quality checks, dashboards, alerting, or analytical reporting.
• Experience with CI/CD‑driven test infrastructures or modern data pipeline environments.

Responsabilités

• 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, debugging automation issues, and addressing lab‑environment variances.
• Systematically validate large‑scale benchmark datasets, leveraging statistical analysis to identify regressions, anomalies, and misaligned results.
• Develop, deploy, and maintain automated data‑quality checks, alerting systems, and interactive dashboards to track data integrity, device health, and operational trends.
• Generate, review, and communicate clear analytical reports on benchmarking outputs, highlighting quality risks and actionable findings for stakeholders.
• Build and support Python‑based automation and operational tooling for continuous benchmarking and data validation across multiple device form factors, collaborating directly with scenario and platform developers.
• Conduct in‑depth investigations and monthly analytics to diagnose the root cause of anomalous data, distinguishing genuine device performance from automation artifacts.
• Review video capture logs from test runs to validate outcomes and troubleshoot scenario failures.
• Methodically debug data discrepancies, triaging systematically across lab configuration, application settings, wireless conditions, and device defects, and escalating issues to the proper owners.
• Operate and monitor CI/CD‑driven test environments, ensuring stability and rapidly resolving operational failures.
• Document validation protocols, triage guides, and reporting workflows to facilitate operation at scale.
• Collaborate closely with lab operations, networking, and product teams to address environment and device issues, and help establish robust data‑quality standards and practices.

Connaissances

Python

SQL

QA automation

Data analysis

CI/CD

Statistical analysis

Formation

Bachelor's degree in CS/Data Science/Statistics/Engineering

Master's degree (preferred)

Outils

Appium

Description du poste

Delart is seeking a Data Quality Engineer in Menlo Park, CA to safeguard benchmark data integrity for large‑scale device testing. The role combines data analysis, Python automation, and operational ownership to ensure health and actionable insights across datasets used by product engineers.

The position requires strong Python and SQL skills, experience with CI/CD environments, and a track record of building automated checks, dashboards, and reports.