Lead Data Engineer - Data & AI, Supply Chain

Pride Technologies LLC

  • San Francisco, CA
  • 8 days ago
  • $65–$70 Per Hour
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Skills

  • Agile Programming Methodologiesunmatched
  • Analysis Skillsunmatched
  • Apacheunmatched
  • Apache Kafkaunmatched
  • Artificial Intelligence (AI)unmatched
  • Automationunmatched
  • Backlog Prioritizationunmatched
  • Best Practicesunmatched
  • Business Analysisunmatched
  • Business Architectureunmatched
  • Business Operationsunmatched
  • Cloud Computingunmatched
  • Code Reviewsunmatched
  • Communication Skillsunmatched
  • Computer Programmingunmatched
  • Computer Scienceunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Data Analysisunmatched
  • Data Managementunmatched
  • Data Modelingunmatched
  • Data Processingunmatched
  • Data Qualityunmatched
  • Data Warehousingunmatched
  • Database Extract Transform and Load (ETL)unmatched
  • Dimensional Modelingunmatched
  • Distribution Operationsunmatched
  • Distribution Servicesunmatched
  • GCP (Good Clinical Practices)unmatched
  • Gitunmatched
  • Identify Issuesunmatched
  • Information Technology & Information Systemsunmatched
  • Logisticsunmatched
  • Mentoringunmatched
  • Metadataunmatched
  • Performance Tuning/Optimizationunmatched
  • Problem Solving Skillsunmatched
  • Production Supportunmatched
  • Python Programming/Scripting Languageunmatched
  • Quality Managementunmatched
  • Requirements Managementunmatched
  • Retailunmatched
  • SQL (Structured Query Language)unmatched
  • Scalable System Developmentunmatched
  • Software Engineeringunmatched
  • Sprint Planningunmatched
  • Streaming Technologyunmatched
  • Supply Chainunmatched
  • Team Playerunmatched
  • Technical Leadershipunmatched
  • Technical Writingunmatched
  • Technical/Engineering Designunmatched
  • Warehousingunmatched

Description

Lead Data Engineer - Data & AI, Supply Chain

Contract (1 Year + Possible extension or FTE)

San Francisco, CA (Hybrid)

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:

o BigQuery

o Dataproc

o SQL

o 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

#LI-SJ3 #RTA

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 Tobin is 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.

Numbers & Facts

LocationSan Francisco, CA
Salary$65–$70 Per Hour

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