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People Data Engineer

Pleasanton, CA, US • Posted 1 day ago • Updated 8 hours ago

Full Time

On-site

USD $60.00 - 60.00 per hour

Fitment

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Job Details

Skills

PSL
Consumer Goods
Interfaces
Product Requirements
Dashboard
Use Cases
Technical Writing
IT Security
Onboarding
Release Management
Data Quality
Production Support
Incident Management
Leadership
Privacy
Legal
Data Dictionary
Data Structure
Analytics
Data Architecture
Computer Science
Data Engineering
Information Systems
SQL
Python
Data Modeling
Extract
Transform
Load
ELT
Version Control
Automated Testing
Workday
Data Warehouse
Data Governance
Artificial Intelligence
Machine Learning (ML)
Databricks
Cloud Computing
Business Intelligence
Semantics

PSL
Consumer Goods
Interfaces
Product Requirements
Dashboard
Use Cases
Technical Writing
IT Security
Onboarding
Release Management
Data Quality
Production Support
Incident Management
Leadership
Privacy
Legal
Data Dictionary
Data Structure
Analytics
Data Architecture
Computer Science
Data Engineering
Information Systems
SQL
Python
Data Modeling
Extract
Transform
Load
ELT
Version Control
Automated Testing
Workday
Data Warehouse
Data Governance
Artificial Intelligence
Machine Learning (ML)
Databricks
Cloud Computing
Business Intelligence
Semantics

Summary

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)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10453555
Position Id: 57ea1fe96bf80514d203bdec53623fc0
Posted 1 day ago

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