Data Engineer, NPI Supply Chain — Hybrid/Remote Pipelines

Experis Technology Group; South San Francisco (CA); Hybrid; USD 103,000 - 124,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

HSA & FSA

401(k) with match

Weekly pay

Job summary

ManpowerGroup, through its Experis brand, is seeking a Data Engineer, NPI Supply Chain in Sunnyvale, CA. The role blends 50% onsite work with 50% remote, requiring strong SQL/Python skills and production pipeline ownership for NPI and supply chain data.

Expect collaboration with Data & AI Operations and delivery of scalable data foundations. You will build pipelines from PLM, MES, forecasts, and quality systems; model data, enable APIs, and ensure data quality with automated monitoring in a

Qualifications

• 5+ years of data engineering experience with production pipeline ownership.
• Expert SQL and strong Python, plus hands-on Spark/Databricks experience.
• Experience with orchestration tools like Airflow or Dagster.
• Dimensional/analytical data modeling on manufacturing or operational data.
• Experience integrating enterprise systems via APIs and data quality testing.

Responsibilities

• Build and operate production pipelines landing, integrating, and modeling NPI and supply chain data.
• Design analytical data models with conformed dimensions and reliable joins across programs/sites.
• Own remediation by fixing broken sources and closing latency gaps; implement data quality controls.
• Stand up automated data quality monitoring and alerting in a 7-dimension framework.
• Build and document APIs/serving layer and lineage/runbooks for handover to AI workstreams.

Skills

SQL

Python

Spark

Databricks

Airflow

Tools

Dagster

Job description

ManpowerGroup, through its Experis brand, is seeking a Data Engineer, NPI Supply Chain in Sunnyvale, CA. The role blends 50% onsite work with 50% remote, requiring strong SQL/Python skills and production pipeline ownership for NPI and supply chain data.

Expect collaboration with Data & AI Operations and delivery of scalable data foundations. You will build pipelines from PLM, MES, forecasts, and quality systems; model data, enable APIs, and ensure data quality with automated monitoring in a