Data Engineer III Jobs in California

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Data Engineer III (Onsite)

Ledgent Technology

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Newport Beach, California, USA

Contract

We are seeking Data Engineers to work on a team at our client site in Newport Beach, CA. The role is hybrid, with two days per week being worked onsite. The position will go to 4 days onsite in the fall of 2025. JOB DESCRIPTION Partnering with data architects, analysts, engineers, and business stakeholders to understand data requirements and deliver solutions in an effective manner. Build scalable & reliable solutions with robust security, quality, performance and governance protocols Deliver
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Posted 3 days ago | Updated 14 hours ago

Data Engineer III

Judge Group, Inc.

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Newport Beach, California, USA

Contract

Location: Newport Beach, CA Salary: $75.00 USD Hourly - $80.00 USD Hourly Description: Job Title: Data Engineer Location: Newport Beach, CA (Hybrid or On-site) Duration: 6+ Month Contract Pay Rate: $75.00-$80.00/HR W2 Overview: We are seeking a highly skilled Data Engineer to join a dynamic team focused on building scalable, secure, and cloud-aligned data solutions. This role will involve partnering with architects, analysts, engineers, and business stakeholders to design, build, and
Posted 2 days ago | Updated 10 hours ago

Data Engineer III

Judge Group, Inc.

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Newport Beach, California, USA

Contract

Location: Newport Beach, CA Salary: $65.00 USD Hourly - $70.00 USD Hourly Description: Our client is currently seeking a Data Engineer Data Engineer Newport Beach, CA 12+Moths Job Description Work with technology and business stakeholders to understand data requirements Exposure to data warehousing concepts and must have participated in various implementations building data hubs, data marts etc. Build scalable and reliable data pipelines to support data ingestions (batch and /or streaming)
Posted 12 days ago | Updated 10 hours ago

Data Engineer III

OSI Engineering, Inc.

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Sunnyvale, California, USA

Full-time

A globally leading tech company is seeking a Data Engineer with 6+ years of experience in software development and 3+ years in big data and data warehouse technologies (e.g., Trino, Spark, Snowflake). The role involves data modeling, database optimization, pipeline development, and full-stack integration using Java, Python, and SQL. If you're passionate about building scalable, data-driven solutions, we encourage you to apply! Job Responsibilities: Data Modeling and Database Design: Identifyi
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Posted 28 days ago

Cloud Data Engineer III

Habemco, LLC

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Remote

Full-time

Cloud Data Engineer Job DetailsJob LocationRemote - United StatesRemote TypeFully RemotePosition TypeFull TimeEducation LevelBachelor DegreeJob CategoryEngineeringDescriptionHabemco is a shared services company wholly owned and operated by the Habematolel Pomo of Upper Lake, a federally recognized Native American tribe located in Northern California. Habemco s support services such as product development and technology which are needed for business growth, ultimately power the Tribe s economy,
Posted 31 days ago

(USA) Data Engineer III

Walmart Inc.

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Remote or Denver, Colorado, USA

Full-time

Position Summary Join Walmart/VIZIO Data Lake Team as a Data Engineer ! This role offers the opportunity to work with cutting-edge technology to drive data-driven decisions and innovation within our company. If you have a passion for big data and cloud-based ecosystems, this is the perfect opportunity to elevate your career. What you'll do About the Team: The VIZIO Data Lake Team operates at the forefront of Walmart's data initiatives, focusing on building and maintaining high-performance, hig
Posted 60+ days ago | Updated 1 hour ago

Google Cloud Platform Data Engineer III

Caspex Corporation

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Sunnyvale, California, USA

Third Party, Contract

Position: Google Cloud Platform Data Engineer Location : Sunnyvale, CA Duration : 12 Months + What you'll do: Build and maintain optimal data platform and pipeline architecture.Assemble large, complex data sets that meet functional / non-functional business requirements.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.Build the infrastructure required for optimal extraction,