People Data Engineer

JobScore, Inc.; Pleasanton (CA); Hybrid; USD 83,000 - 103,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Retirement Savings Plan

PSL

Job summary

JobScore, Inc. is seeking a People Data Engineer to build and operate the data and AI foundation powering people analytics, workforce insights, and AI-enabled solutions.

The role focuses on scalable data models, pipelines, and governance within an enterprise data platform and Workday integrations. The candidate will partner with HR technology, security, and analytics teams to implement automated quality controls and data lineage while ensuring privacy and governance requirements are met.

Qualifications

• 5+ years of progressive experience in data engineering or related field.
• Bachelor's degree in computer science, data engineering, information systems, or equivalent.
• Proficiency in SQL, Python, data modeling, ETL/ELT, APIs, cloud data platforms, version control, and automated testing.
• Experience with HR data, Workday, enterprise data warehouses, or AI/ML data enablement preferred.

Responsibilities

• Design, build, and maintain scalable people-data models in the enterprise data warehouse.
• Develop data pipelines, APIs, interfaces, and integrations with Workday and HR systems.
• Translate business definitions into technical data specs and maintain data documentation.
• Collaborate with data teams, HR tech, security, and stakeholders on onboarding and releases.
• Establish data quality monitoring, lineage, and governance practices.

Skills

Data engineering

SQL

Python

Data modeling

ETL/ELT

APIs

Cloud platforms

Version control

Automated testing

Education

Bachelor's degree in CS / Data Eng

Tools

Databricks

Job description

People Data Engineer 37613013

• Hourly pay: $60/hr
• Worksite: Leading consumer products company (Pleasanton, CA 94588 - Onsite)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
• 40 hours/week, 5 Month Assignment

A leading consumer products company seeks a People Data Engineer to build and operate the data and AI foundation that powers people analytics, workforce insights, and AI-enabled solutions.

People Data Engineer Responsibilities:

• Design, build, and maintain scalable people-data models in the enterprise data warehouse, and develop and support data pipelines, APIs, interfaces, and integrations that connect Workday and other HR 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 for consistent use of people data across dashboards, analytics products, scorecards, and approved AI use cases, and maintain technical documentation for data models, integrations, transformation logic, dependencies, and platform components.
• Partner with the enterprise data team, HR technology, security, and people functional teams on source-data onboarding, engineering dependencies, release planning, and production implementation.
• Establish automated data quality monitoring, validation rules, reconciliation controls, exception alerts, and end-to-end data lineage, define production support, incident management, and escalation practices, and monitor platform health, pipeline performance, refresh reliability, and recurring failures to reduce reliance on manual data checks.
• Implement technical controls for data access, privacy, confidentiality, retention, and sensitive-data handling. Partner with people analytics leadership, Privacy, Legal, Security, and HR Technology to put governance requirements into practice, contribute definitions, source mappings, transformation logic, and lineage to the people-data dictionary, and ensure changes to sensitive data structures are reviewed, tested, documented, and released appropriately.

People Data Engineer Qualifications:

• 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.
• Bachelor's degree in computer science, data engineering, information systems, or a related field, or equivalent practical experience.
• Technical proficiency in SQL, Python, data modeling, ETL/ELT, APIs, cloud data platforms, version control, and automated testing.
• Experience with HR data, Workday, enterprise data warehouses, sensitive-data governance, or AI/ML data enablement is preferred.
• Experience with Databricks or a comparable cloud data ecosystem and BI semantic models is preferred.

Shift:

• Hybrid: candidates should be local to the area or located nearby.

(H)