Lead Data Engineer, Cloud Data Platform for Supply Chain AI

Ingrain Systems Inc

Pleasanton (CA)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Ingrain Systems Inc is seeking a Lead Data Engineer to join the Data & AI Organization in Pleasanton, CA onsite. The role focuses on designing, developing, and delivering enterprise data products and analytics across Sourcing, Transportation, and WMS domains on cloud-native platforms.

Ideal candidates will lead technically, work with cross-functional teams, and drive scalable data solutions to enable analytics and AI-driven decision making using GCP, BigQuery, and dbt.

Qualifications

  • 8+ years of experience in Data Engineering with demonstrated technical leadership on enterprise data projects.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Expert-level proficiency in: BigQuery, SQL, dbt (Data Build Tool).
  • Strong understanding of modern ETL/ELT architecture and large-scale data processing.
  • Strong knowledge of data modeling techniques, including dimensional modeling, normalized data models, and analytical data warehouse design.
  • Experience building scalable and maintainable cloud-native data pipelines.
  • Experience with Git, CI/CD pipelines, and engineering best practices.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent verbal and written communication skills with the ability to collaborate effectively across cross-functional teams.

Skills

Data engineering
GCP
BigQuery
SQL
dbt
ETL/ELT
Data modeling
Data pipelines
Communication
Troubleshooting
Problem solving

Tools

Airflow
Kafka
PySpark
Python
Git
CI/CD

Job description

Ingrain Systems Inc is seeking a Lead Data Engineer to join the Data & AI Organization in Pleasanton, CA onsite. The role focuses on designing, developing, and delivering enterprise data products and analytics across Sourcing, Transportation, and WMS domains on cloud-native platforms.

Ideal candidates will lead technically, work with cross-functional teams, and drive scalable data solutions to enable analytics and AI-driven decision making using GCP, BigQuery, and dbt.

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