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People Data Engineer & AI Engineer
Job Location:
Job Location:
Pleasanton, CA - USA
Hourly Salary:
USD 55 - 57
Hourly Salary:
Posted:
6 October 2026 (Yesterday)
Posted:
Application Deadline:
3 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Overview
Client is seeking a People Data & AI Engineer to build and operate the trusted data and AI foundation that powers people analytics workforce insights and AI-enabled solutions. This role is responsible for designing scalable people-data architecture integrating data across HR and enterprise platforms and ensuring the reliability governance and quality of the People Data platform.
Working within the People Analytics team and in partnership with Enterprise Data HR Technology Security Legal Privacy and People functional teams this position translates business and product requirements into secure governed and production-ready data solutions.
Core 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 specifications reusable data assets and data structures.
Establish architecture patterns that enable consistent use of people data across analytics products dashboards scorecards and approved AI use cases.
Partner with enterprise stakeholders 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 alerting for critical people-data elements.
Implement and maintain end-to-end data lineage including source systems transformations calculations and downstream consumption.
Define production support incident management and escalation processes for people-data products.
Monitor platform health pipeline performance data refresh reliability and recurring failure patterns.
Reduce reliance on manual data validation through repeatable automated and observable controls.
Implement technical controls supporting approved access privacy confidentiality retention and sensitive-data handling standards.
Partner with Privacy Legal Security HR Technology and enterprise data teams to operationalize people-data governance requirements.
Contribute technical definitions source mappings transformation logic and lineage documentation to the people-data dictionary.
Ensure sensitive people-data changes are appropriately reviewed tested documented and released.
Essential Qualifications Skills and Technologies
Minimum 5 years of progressive experience in data engineering analytics engineering data architecture or a related field including experience building production-grade data pipelines data models integrations and quality controls.
Strong technical experience with SQL Python data modeling ETL/ELT processes APIs cloud data platforms version control and automated testing.
Preferred Skills or Experience
Experience working with HR data Workday enterprise data warehouses sensitive-data governance or AI/ML data enablement.
Experience with Workday data Databricks or a comparable cloud data ecosystem and BI semantic models.
Work Details
Hybrid work arrangement.
Candidates should be local to the area or located nearby.
Client is seeking a People Data & AI Engineer to build and operate the trusted data and AI foundation that powers people analytics workforce insights and AI-enabled solutions. This role is responsible for designing scalable people-data architecture integrating data across HR and enterprise platforms and ensuring the reliability governance and quality of the People Data platform.
Working within the People Analytics team and in partnership with Enterprise Data HR Technology Security Legal Privacy and People functional teams this position translates business and product requirements into secure governed and production-ready data solutions.
Core 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 specifications reusable data assets and data structures.
Establish architecture patterns that enable consistent use of people data across analytics products dashboards scorecards and approved AI use cases.
Partner with enterprise stakeholders 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 alerting for critical people-data elements.
Implement and maintain end-to-end data lineage including source systems transformations calculations and downstream consumption.
Define production support incident management and escalation processes for people-data products.
Monitor platform health pipeline performance data refresh reliability and recurring failure patterns.
Reduce reliance on manual data validation through repeatable automated and observable controls.
Implement technical controls supporting approved access privacy confidentiality retention and sensitive-data handling standards.
Partner with Privacy Legal Security HR Technology and enterprise data teams to operationalize people-data governance requirements.
Contribute technical definitions source mappings transformation logic and lineage documentation to the people-data dictionary.
Ensure sensitive people-data changes are appropriately reviewed tested documented and released.
Essential Qualifications Skills and Technologies
Minimum 5 years of progressive experience in data engineering analytics engineering data architecture or a related field including experience building production-grade data pipelines data models integrations and quality controls.
Strong technical experience with SQL Python data modeling ETL/ELT processes APIs cloud data platforms version control and automated testing.
Preferred Skills or Experience
Experience working with HR data Workday enterprise data warehouses sensitive-data governance or AI/ML data enablement.
Experience with Workday data Databricks or a comparable cloud data ecosystem and BI semantic models.
Work Details
Hybrid work arrangement.
Candidates should be local to the area or located nearby.
Nesco Resource offers a comprehensive benefits package for our associates which includes a MEC (Minimum Essential Coverage) plan that encompasses Medical Vision Dental 401K and EAP (Employee Assistance Program) services.
Nesco Resource provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.
Required Experience:
IC
