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Data engineer Jobs in Oakland, CA

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Data engineer • oakland ca

Last updated: 2 days ago

Data Engineer

LancesoftSan Francisco, CA, US
Full-time
Quick Apply

Lead Data Engineer –Data & AI, Supply Chain.Tech is seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI Organization.This role will support the design, develo... Show more

Lead Data Engineer, Data Platform

CrewAISan Francisco, CA, US
Full-time
Quick Apply

CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems, powering 300M+ agent executions per month across thousands of companies.As the product... Show more

Principal Software Engineer - Data

WEX IncSan Francisco, CA
$200,600.00 yearly
Remote
Full-time

Principal Staff Software Engineer – Data as a Service.WEX is transforming into a data-driven enterprise through its modern Data-as-a-Service (DaaS) platform.At the core of this strategy is a need f... Show more

Clinical Data Engineer - TypeScript

MercorSan Francisco, California, United States
Remote
Full-time +1
Quick Apply

Headquartered in San Francisco, our investors include.Software Engineer, Clinical Data (TypeScript, FHIR/HL7).Architect integration services using.Contribute to code reviews and system-design discu... Show more

Sr. Data Engineer

EzeSan Francisco, CA, US
$120,000.00 yearly
Full-time

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries.Some 20,000 financia... Show more

Lead Data Engineer

World Market1201 Marina Village Pkwy, CA, US
$155,000.00 yearly
Full-time +1

You won’t find a store and team like this anywhere else! We're passionate about our mission to delight customers with a unique, ever-changing marketplace of products from around the world.Our assor... Show more

Senior Data Engineer

INFOTRONBerkeley, CA, US
$90,000.00 yearly
Full-time

Job Title: Senior Data Engineer.Location: Berkeley, CA (Onsite – 5 Days/Week).Employment Type: Contract/Full-Time.We are seeking a Senior Data Engineer to join an innovative company in the industri... Show more

LATAM Integrations Data Engineer

Career LaunchSan Francisco, CA, USA
Remote
Full-time
Quick Apply

Career Launch is hiring for this role and related opportunities.We review candidate profiles across active roles and use resumes/profiles to understand which backgrounds may be a fit.As a LATAM Int... Show more

Principal Data Engineer

Real StaffingOakland, California, USA
Temporary

Forms and leads cross-functional teams to address complex, enterprise-level data and analytics problems with broad business impact.Designs and advances enterprise data infrastructure ensuring scala... Show more

Senior Data Engineer

Strategic EmploymentSan Francisco, CA, United States
Full-time

Well-known technology platform company is looking for a Senior Data Engineer to join a growing team.In this role you will work directly with stakeholders to understand their data needs, build and m... Show more

Lead Data Engineer

QcellsSan Francisco, CA, US
Full-time

This role provides technical leadership in designing and optimizing ETL/ELT frameworks using Azure data services (Fabric, Data Lake, Data Factory), integrating data from ERP, CRM, and operational s... Show more

Data Engineer - Data & AI, Supply Chain (Remote)

Stage 4 Solutions IncSan Francisco, CA, United States
$40.00 hourly
Remote
Temporary
Quick Apply

Data Engineer Data & AI, Supply Chain (Remote)</b></div> <div> </div> <div>We are seeking an experienced Data Engineer to join the Data & AI Supply Chain ... Show more

Data Engineer

Swish AnalyticsSan Francisco, California, United States
Full-time

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.We believe that oddsmaking is a challenge rooted in engi... Show more

Project Engineer - Data Center

SB EnergySan Francisco, CA, United States
Full-time

Our values guide how we operate.Taking pride in creating new possibilities, we are dedicated to:.Cultivate Team Learning and Growth.Benefits of Working with SB Energy.SB Energy is committed to help... Show more

Data Engineer - Finance

Weekday AISan Francisco, CA, US
$60.00 hourly
Full-time +2
Quick Apply

This role is for one of our clients.Compensation: $60 - $85 per hour.A rapidly growing AI organization is seeking a.You'll join a lean, high-impact team responsible for developing scalable data pip... Show more

Lead Data Engineer

LendingClubSan Francisco, CA
$190,000.00 yearly
Full-time

Current Employees of Happen Bank: Please apply via your internal Workday Account.Happen Bank (formerly LendingClub) is built around a simple purpose: to clear the way to help people turn intention ... Show more

Principal Data Engineer

Early WarningSan Francisco
Full-time

At Early Warning, we’ve powered and protected the U.Zelle®, Paze℠, and so much more.As a trusted name in payments, we partner with thousands of institutions to increase access to financial services... Show more

Senior Data Engineer ID75059

AgileEngineSan Francisco, CA, us
Full-time

Fortune 500 brands and trailblazing startups across 17+ industries.We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Bes... Show more

Software Engineer, Agent Data Platform

SierraSan Francisco, California, US
Full-time

At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI.We are primarily an in-person company based in San Francisco, with growing offices in A... Show more

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Data Engineer

Data Engineer

LancesoftSan Francisco, CA, US
5 days ago
Job type
  • Full-time
  • Quick Apply
Job 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