People Data Engineer / Data Engineer

Systemart, LLC is building a trusted people-data and AI foundation that supports people analytics, workforce insights, and responsible AI-enabled solutions. In this hybrid role in Pleasanton, CA (local to the area or nearby), you will design and operate the data architecture that keeps people data reliable, governed, and ready for analytics and approved AI use cases.

What you’ll do

• Design, build, and maintain scalable people-data models within the enterprise data warehouse.
• Develop and support data pipelines, APIs, interfaces, and integrations connecting Workday and other People systems to the enterprise data platform.
• Turn approved business definitions and product requirements into technical specifications, reusable data structures, and data assets.
• Create architecture patterns that enable consistent use of people data across dashboards, analytics products, scorecards, and approved AI use cases.
• Partner with the Enterprise Data Team on source onboarding, engineering dependencies, release planning, and production implementation.
• Maintain technical documentation for models, integrations, transformation logic, dependencies, and platform components.
• Set up automated data-quality monitoring, validation rules, reconciliation controls, and exception alerts for critical people-data elements.
• Implement and maintain end-to-end data lineage covering sources, transformations, calculations, and downstream consumption.
• Define production support, incident management, and escalation practices for people-data products.
• Monitor platform health, pipeline performance, refresh reliability, and recurring failure patterns.
• Reduce reliance on manual, person-dependent data checks by using repeatable and observable controls.
• Implement technical controls supporting approved access, privacy, confidentiality, retention, and sensitive-data handling standards.
• Work with People Analytics leadership, Privacy, Legal, Security, HR Technology, and the Enterprise Data Team to operationalize people-data governance requirements.
• Contribute to the people-data dictionary with technical definitions, source mappings, transformation logic, and lineage.
• Ensure changes to sensitive people-data structures are reviewed, tested, documented, and released with appropriate rigor.

What you bring

• 5+ years of progressive experience in data engineering, analytics engineering, data architecture, or a related field, including production-grade pipelines, models, integrations, and quality controls.
• Experience with HR data, Workday, enterprise data warehouses, sensitive-data governance, or AI/ML data enablement is strongly preferred.
• SQL
• Python
• Data modeling
• ETL/ELT
• APIs
• Cloud data platforms
• Version control
• Automated testing

Tools you’ll likely use

• SQL, Python, Workday
• Databricks
• ETL/ELT, APIs, cloud data platforms
• Version control, automated testing
• BI semantic models

Role logistics

• Location: Hybrid remote in Pleasanton, CA 94588
• Expected hours: 40.0 per week
• Pay: $61.00 per hour

Education

Bachelor’s degree in computer science, data engineering, information systems, or a related field, or equivalent practical experience.