People Data Engineer / Data Engineer

Systemart, LLC

Pleasanton (CA)

Hybrid

USD 72,000 - 96,000

Full time

2 days ago

Be an early applicant

Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

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

Role overview

You will build production-grade people-data models and integrations that enable consistent downstream use across dashboards, analytics products, scorecards, and approved AI use cases. The work includes translating business definitions into technical specifications, establishing reusable data assets, and reducing manual, person-dependent checks through repeatable and observable controls.

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, documented, and released appropriately.

Required experience

5+ years of progressive experience in data engineering, analytics engineering, data architecture, or a related field, including building 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.

Skills and tools