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Data Engineer Relocation Jobs in California (NOW HIRING)

Apple

Senior Data Engineer, Find My

Cupertino, CA

$184K - $324K/yr

Description As a Data Engineer on our team, you'll thrive in a fast-paced, startup-like environment ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

Redolent, Inc.

US_West | Data Engineer_L1

San Francisco, CA · On-site

$134K - $162K/yr

Possible 3 Month CTH | No Fees | Do Not Re-Post| Confidential R2D2 9429173 Role C# Test Engineer ... Relocate? Rate: Availability: Phone #: Mobile#: LinkedIn ID: Email address: Visa type: Visa ...

fal

Senior Software Engineer, Data

San Francisco, CA · On-site

$180K - $225K/yr

As a Senior Data Engineer at fal, you will build the data infrastructure that turns our internal ... We offer relocation assistance to San Francisco. * Health, dental, and vision insurance (US)

fal

Senior Software Engineer, Data

San Francisco, CA · On-site

$180K - $225K/yr

As a Senior Data Engineer at fal, you will build the data infrastructure that turns our internal ... We offer relocation assistance to San Francisco. * Health, dental, and vision insurance (US)

Apple

Senior ML Data Engineer, MLO

Cupertino, CA

$184K - $324K/yr

We're looking for an exceptional software & data engineer who is passionate about Apple products ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

Esri

System Engineer- Enterprise Data Engineer

Redlands, CA

$107K - $133K/yr

... data management strategies, and implement those strategies throughout the engagement life cycle ... Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands ...

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All JobsData Engineer Relocation JobsData Engineer Relocation Jobs in California

Data Engineer Relocation information

What are some common challenges data engineers face when relocating for a new position?

When relocating for a data engineering role, professionals often encounter challenges such as adapting to new data privacy regulations, integrating with local teams, and understanding company-specific data infrastructure. Adjusting to a different work culture and collaborating across time zones can also require flexibility and strong communication skills. Proactively seeking support from HR and technical onboarding resources can help ease the transition and ensure a smooth start in the new environment.

What is a Data Engineer Relocation?

A Data Engineer Relocation refers to the process of a data engineer moving to a new city, state, or country for a job opportunity. Often, companies offer relocation packages or assistance to help data engineers with the costs and logistics of moving. This can include covering moving expenses, temporary housing, and support for settling into a new location. Relocation is common in the tech industry due to the high demand for skilled data engineers in specific regions or at company headquarters.

What is the difference between Data Engineer Relocation vs Data Engineer?

AspectData Engineer RelocationData Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; experience with cloud platformsBachelor's or higher in CS, Data Science, or related; proficiency in SQL, Python, and ETL tools
Work EnvironmentTypically involves relocating to a new city or country; may include remote work optionsUsually based in an office or remote; focuses on data pipeline development
Employer & Industry UsageUsed by companies hiring for international or remote data roles requiring relocationCommon in tech, finance, healthcare industries for data infrastructure roles

In summary, Data Engineer Relocation involves moving to a new location for a data engineering role, often requiring additional logistical planning, while Data Engineer refers to the role itself, which can be based anywhere. Both roles share similar skills and credentials but differ mainly in the relocation aspect.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need strong skills in data modeling, ETL (Extract, Transform, Load) processes, and proficiency in programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (such as AWS or Azure), and relevant certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and adapt to evolving data needs. These skills ensure robust data pipelines, reliable analytics, and support for organizational data-driven decision-making.
What are popular job titles related to Data Engineer Relocation jobs in California? For Data Engineer Relocation jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Engineer Relocation jobs in California look for? The top searched job categories for Data Engineer Relocation jobs in California are:
What cities in California are hiring for Data Engineer Relocation jobs? Cities in California with the most Data Engineer Relocation job openings:
Data Engineer Relocation jobs near you
Infographic showing various Data Engineer Relocation job openings in California as of June 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Software Engineer II, Big Data, tvScientific

Software Engineer II, Big Data, tvScientific

Pinterest

San Francisco, CA • Remote

$134K - $162K/yr

Other

Posted 7 days ago

Job description

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization. 


What you'll do:

  • Design and implement robust data infrastructure in AWS, using Spark with Scala
  • Evolve our core  data pipelines to efficiently scale for our massive growth
  • Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
  • Collaborate with our cross-functional teams to design data solutions that meet business needs
  • Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs
  • Leverage and optimize AWS resources while designing for scale
  • Collaborate closely with our Data Science and Product teams
  • How we'll define success:
    • Successful design and implementation of scalable and efficient data infrastructure
    • Timely delivery and optimization of data assets and APIs
    • High attention to detail in implementation of automated data quality checks
    • Effective collaboration with cross-functional teams


What we're looking for:

  • Production data engineering experience
  • Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala is preferred
  • Experience in delivering significant technical initiatives and building reliable, large scale services
  • Experience in delivering APIs backed by relationship-heavy datasets
  • Familiarity with data lakes, cloud warehouses, and storage formats
  • Strong proficiency in AWS services
  • Expertise in SQL for data manipulation and extraction
  • Excellent written and verbal communication skills
  • Bachelor's degree in Computer Science or a related field
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
  • Nice-to-haves:
    • Experience in adtech
    • Experience implementing data governance practices, including data quality, metadata management, and access controls
    • Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
    • Familiarity with data table formats like Apache Iceberg, Delta
    • Previous experience building out a Data Engineering function
    • Proven experience working closely with Data Science teams on machine learning pipelines

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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