Lead Data Engineer – Data & AI, Supply Chain

Russell Tobin; Pleasanton (CA); On-site; USD 186,252,000 - 200,579,000; Full time

Benefits offered by this job

Healthcare coverage (medical, dental,視

401(k) retirement savings

Life & disability insurance

Employee discounts

Job summary

Russell Tobin seeks a Lead Data Engineer to design and deliver enterprise data products for Sourcing, Transportation, and WMS. You will lead hands-on development on Google Cloud Platform, building scalable data platforms for analytics and AI-driven decision making.

The role requires 8+ years in data engineering, strong GCP experience, and leadership in enterprise projects. Onsite in Pleasanton, CA with a 1-year contract plus extension potential.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience).
• 8+ years of experience in Data Engineering, including technical leadership on enterprise-scale projects.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Expert-level proficiency in: BigQuery, Dataproc, SQL, dbt.

Responsibilities

• Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform (GCP).
• Build and optimize enterprise data solutions using BigQuery, Dataproc, SQL, and dbt.
• Design scalable and efficient data models to support analytics and reporting.
• Develop and maintain ETL/ELT pipelines to ingest, transform, and publish data from enterprise systems.
• Collaborate with product managers, analysts, architects, and stakeholders to translate requirements into solutions.
• Lead technical design discussions, perform code reviews, and promote engineering best practices.
• Optimize data platforms for performance, scalability, reliability, and cost efficiency.
• Implement monitoring, testing, and operational best practices for production workloads.
• Contribute to reusable frameworks, engineering standards, and technical documentation.
• Support production issue resolution and continuous platform improvements.
• Participate in Agile ceremonies including sprint planning, estimation, and backlog refinement.
• Mentor and guide junior engineers to foster engineering excellence.

Skills

GCP

BigQuery

Dataproc

SQL

dbt

ETL/ELT

Data modeling

Data pipelines

Git CI/CD

Communication

Analytical skills

Education

Bachelor's degree in Computer Science/Engineering/IS or related field

Job description

Lead Data Engineer - Data & AI, Supply Chain

Contract (1 Year + Possible extension or FTE)

Pleasanton, CA (Onsite)

Pay Rate: $65-70 an hour on W2 (DOE)

Job Description

We are seeking an experienced Lead Data Engineer to join our Supply Chain Data & AI organization. In this role, you will design, build, and deliver enterprise data products and analytics solutions supporting Sourcing, Transportation, and Warehouse Management (WMS).

As a hands‑on technical leader, you will leverage modern cloud‑native technologies on Google Cloud Platform (GCP) to build scalable, high-performance data platforms that enable advanced analytics and AI‑driven decision‑making. You will collaborate closely with Product Managers, Solution Architects, Data Architects, Business SMEs, and engineering teams to deliver enterprise‑grade data solutions.

Key Responsibilities

• Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform (GCP).
• Build and optimize enterprise data solutions using BigQuery, Dataproc, SQL, and dbt.
• Design scalable and efficient data models to support analytics and reporting.
• Develop and maintain ETL/ELT pipelines to ingest, transform, and publish data from enterprise systems.
• Collaborate with Product Managers, Business Analysts, Architects, and business stakeholders to translate business requirements into technical solutions.
• Lead technical design discussions, perform code reviews, and promote engineering best practices.
• Optimize data platforms for performance, scalability, reliability, and cost efficiency.
• Implement monitoring, testing, and operational best practices for production workloads.
• Contribute to reusable frameworks, engineering standards, and technical documentation.
• Support production issue resolution and continuous platform improvements.
• Participate in Agile ceremonies including sprint planning, estimation, and backlog refinement.
• Mentor and guide junior engineers while fostering engineering excellence.

Must have skills

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience).
• 8+ years of experience in Data Engineering, including technical leadership on enterprise‑scale projects.
• Strong hands‑on experience with Google Cloud Platform (GCP).
• Expert‑level proficiency in:
  • BigQuery
  • Dataproc
  • SQL
  • dbt (Data Build Tool)
• Strong experience designing and implementing modern ETL/ELT solutions.
• Solid understanding of data modeling, including dimensional modeling, normalized data models, and data warehouse design.
• Experience building scalable, cloud‑native data pipelines.
• Experience with Git, CI/CD pipelines, and software engineering best practices.
• Strong analytical, troubleshooting, and problem‑solving skills.
• Excellent communication and collaboration skills.

Nice to have Skills

• Experience with Apache Airflow for workflow orchestration.
• Experience with Apache Kafka or other streaming technologies.
• Experience with PySpark for distributed data processing.
• Strong Python programming skills for data engineering and automation.
• Knowledge of data quality, metadata management, and data governance practices.

Preferred Domain Experience

Experience in one or more of the following domains is highly desirable:

• Retail (Apparel)
• Supply Chain and Logistics
• Transportation Management
• Warehouse Management Systems (WMS)
• Distribution Center Operations

Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

Equal Employment Opportunity

Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

Fair Chance Employment

Russell Tobinis a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.

Accommodations

We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us.

Only applicable for San Francisco Candidates

Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.