Hybrid Test Data Engineer

at Signet Jewelers

• Job title: Test Data Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: ETL, Python, Selenium, Shell Scripting, SQL
• Location requirements: Hybrid, Irving, United States

About the role

• Senior Test Data Engineer creating non‑production test data ecosystem at Signet Jewelers. Designing modern TDM practices and building automation for data provisioning and monitoring.

Responsibilities

• Own the Test Data Strategy & Architecture
• Define the end‑to‑end test data strategy across all lower environments to ensure consistency, accuracy, privacy, safety, and reuse.
• Standardize and maintain reusable, versioned datasets, refresh cadences, and cross‑system referential integrity.
• Develop and maintain modern TDM frameworks including subsetting, masking/anonymization, and synthetic data generation.
• Reduce environment specific workarounds by implementing scalable, automated refresh mechanisms.
• Build and maintain open‑source automation (Python, shell, REST, Postman, Selenium) for on‑demand data provisioning, masking, synthetic generation, and data validations.
• Architect, optimize, and monitor extract jobs and pipelines in partnership with Lower Environments, ETL, ESB, PIM, and Order Management teams.
• Implement parameterized pipelines and frameworks that enable rapid provisioning for complex test scenarios.
• Integrate data provisioning workflows into CI pipelines and test automation frameworks.
• Improve lower‑environment stability by detecting and remediating data drift, config drift, and schema drift across platforms.
• Define and enforce SLAs related to environment readiness and test data availability.
• Implement data quality gates and observability at pipeline, including automated health checks, dashboards, alerts.
• Partner with support teams to build dashboards that proactively detect data quality issues and flag readiness gaps.
• Establish governance rules, protect designated shared test SKUs, and enforce data integrity standards.
• Ensure proper review, traceability, and documentation of changes using Jira and Confluence.
• Lead efforts to ensure regression and integration suites always have reliable, stable, and privacy‑compliant test data.
• Serve as the primary subject matter expert and escalation point for all test data concerns.
• Mentor engineers, conduct design reviews for new data feeds, and guide teams in building testable and resilient data flows.
• Partner closely with QE, Dev, Product, Ops, and Architecture teams to align test data strategy with delivery needs.
• Maintain clear documentation including data models, runbooks, job flows, TDM frameworks, and environment health guides.
• Track enhancements, issues, and KPIs through Jira to drive measurable continuous improvement.

Requirements

• 5+ years of experience in Test Data Engineering, Data Engineering, or Quality Engineering.
• Strong expertise in SQL, data modeling, ETL/ESB pipelines, and job orchestration.
• Hands‑on experience with TDM practices including subsetting, masking/anonymization, synthetic data creation, and referential integrity.
• Automation first mindset using open‑source tools: Python, shell scripting, REST, Postman, Git, CI pipelines.
• Proven experience stabilizing lower environments, identifying drift, and troubleshooting cross‑system data issues.
• Experience building automated validations, data quality checks, metrics, and monitoring/alerting.

Benefits

• Competitive healthcare, dental & vision insurance
• 401(k) matching after one year of employment
• Generous time off + company holidays
• Merchandise discount
• Learning & Development programs