People Data Engineer: HR Analytics & Data Pipelines

Systemart, LLC; Pleasanton (CA); Hybrid; USD 72,000 - 96,000; Full time

Job summary

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 based in Pleasanton, CA, you will design and operate scalable people-data architecture, integrate HR data across enterprise platforms (including Workday), and help ensure quality, lineage, reliability, and governance.

As part of the team you will build production-grade data models and integrations that enable consistent

Qualifications

• 5+ years of progressive experience in data engineering, analytics engineering, data architecture, or related field.
• Experience with HR data, Workday, enterprise data warehouses, sensitive-data governance, or AI/ML data enablement is strongly preferred.

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 to the enterprise data platform.
• Convert approved business definitions and product requirements into technical data specifications, structures, and reusable data assets.
• Establish architecture patterns for consistent people-data usage 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.
• 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 from source through 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.
• 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 technical definitions, source mappings, transformation logic, and lineage information to the people-data dictionary.
• Ensure changes to sensitive people-data structures are reviewed, tested, and released appropriately.

Skills

SQL

Python

Data modeling

ETL/ELT

APIs

Cloud data platforms

Version control

Automated testing

Education

Bachelor's degree in computer science or related field

Tools

Workday

Databricks

BI semantic models

Job description

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 based in Pleasanton, CA, you will design and operate scalable people-data architecture, integrate HR data across enterprise platforms (including Workday), and help ensure quality, lineage, reliability, and governance.

As part of the team you will build production-grade data models and integrations that enable consistent