People Data Engineer / Data Engineer

Systemart, LLC is building a trusted people-data and AI foundation to support people analytics, workforce insights, and responsible AI-enabled solutions. In this hybrid role based in Pleasanton, CA, you will design and deliver scalable people-data architecture, connect HR systems (including Workday) to the enterprise data platform, and help ensure quality, lineage, reliability, and governance across downstream analytics and approved AI use cases.

Role Purpose

Build and operate the trusted data and AI foundation that powers people analytics, workforce insights, and responsible AI-enabled solutions.

Responsibilities

• 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 with the enterprise data platform.
• Translate approved business definitions and product requirements into technical data specifications, structures, and reusable data assets.
• Establish architecture patterns that support consistent use of people data across dashboards, analytics products, scorecards, and approved AI use cases.
• Partner with the Enterprise Data Team on source-data onboarding, engineering dependencies, release planning, and production implementation.
• Maintain technical documentation for data models, integrations, transformation logic, dependencies, and platform components.
• Establish automated data-quality monitoring, validation rules, reconciliation controls, and exception alerts for critical people-data elements.
• Implement and maintain end-to-end data lineage, including source, transformation, calculation, 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 through repeatable and observable controls.
• Implement technical controls that support approved access, privacy, confidentiality, retention, and sensitive-data handling standards.
• Partner with People Analytics leadership, Privacy, Legal, Security, HR Technology, and the Enterprise Data Team to operationalize people-data governance requirements.
• Contribute technical definitions, source mappings, transformation logic, and lineage information to the people-data dictionary.
• Ensure changes to sensitive people-data structures are appropriately reviewed, tested, documented, and released.

Requirements

• 5+ years of progressive experience in data engineering, analytics engineering, data architecture, or a related field, including production-grade data 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

Preferred Platform Experience

• Experience with Workday data, Databricks or a comparable cloud data ecosystem, and BI semantic models.

Tech Stack

• SQL
• Python
• Workday
• Databricks
• ETL/ELT
• APIs
• Cloud data platforms
• Version control
• Automated testing
• BI semantic models

Location and Work Details

• Location: Pleasanton, CA (hybrid)
• Work location: Hybrid remote in Pleasanton, CA 94588
• Expected hours: 40.0 per week
• Local requirement: Candidates should be local to the area or located nearby.

Compensation

• Pay: $61.00 per hour

Education / Equivalent Experience

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