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Data Engineer

Lancesoft

  • San Francisco, CA
  • 2 days ago
  • $66

Highlights

You will collaborate with Product Managers, Solution Architects, Data Architects, Business SMEs, and engineering teams to develop scalable, high-quality data solutions that enable advanced analytics, and AI-driven decision making. The ideal candidate is a hands-on technical leader with deep expertise in building modern cloud-native data platforms on Google Cloud Platform (GCP).

Numbers & Facts

LocationSan Francisco, CA
IndustryStaffing/Employment Agencies
Salary$66
Company Size2,000 to 2,499 employees
Year Founded2000
Websitehttp://www.lancesoft.com/

Description

Description: 
Lead Data Engineer –Data & AI, Supply Chain

About the Role
 Tech is seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI Organization. This role will support the design, development, and delivery of enterprise data products and analytics solutions across the Sourcing, Transportation, and Warehouse Management (WMS) domains.
The ideal candidate is a hands-on technical leader with deep expertise in building modern cloud-native data platforms on Google Cloud Platform (GCP). You will collaborate with Product Managers, Solution Architects, Data Architects, Business SMEs, and engineering teams to develop scalable, high-quality data solutions that enable advanced analytics, and AI-driven decision making.

Key Responsibilities
  • Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform (GCP).
  • Build and optimize enterprise data solutions using Dataproc, BigQuery, SQL, and dbt.
  • Design robust and scalable data models that support analytical and operational reporting requirements.
  • Develop efficient ETL/ELT pipelines to ingest, transform, and publish data from multiple enterprise systems.
  • Collaborate with Product Managers, Business Analysts, Enterprise Solution Architects, Data Architects, and business stakeholders to translate business requirements into scalable technical solutions.
  • Lead technical design discussions and perform code reviews to ensure engineering quality and adherence to standards.

Required Technical Skills
  • 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:
oDataproc
oBigQuery
oSQL
odbt (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.
Preferred Technical Skills
  • Experience with Apache Airflow for workflow orchestration.
  • Experience integrating enterprise data platforms with Apache Kafka or other streaming technologies.
  • Working knowledge of PySpark for distributed data processing.
  • Proficiency in Python for data engineering, automation, and utility development.
  • Familiarity with data quality, metadata management, and data governance best practices.

Domain Experience (Highly Desirable)
Candidates with experience in one or more of the following areas will be strongly preferred:
  • Retail industry (Apparel)
  • Supply Chain data platforms
  • Transportation and Logistics
  • Warehouse Management Systems (WMS)
  • Distribution Center operations



 

About Company

We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc). 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.

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