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Data Engineer Relocation Jobs in California (NOW HIRING)

Apple

Data Engineer

Cupertino, CA

$129K - $225K/yr

The Data Engineering team within the MGC organization plays a critical role in supporting data ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

OpenAI

Data Engineer

San Francisco, CA · On-site

$230K - $385K/yr

About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and ... We offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and ...

Mercor

Data Engineer

San Francisco, CA · On-site

$130K - $500K/yr

As a Software Engineer supporting our Data function, you will be responsible for creating and ... Up to $15k Relocation bonus * $10K housing bonus (if you live within 0.5 miles of our office) * $1 ...

Apple

Data Engineer

Cupertino, CA

$150K - $225K/yr

... systems and deliver data-driven insights to product and engineering teams across Apple ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

WinWire

Data Engineer

Santa Clara, CA · On-site

$210K - $230K/yr

... Engineering, or related field. Requires 5 years of experience with Azure Data Factory, SAP, and ... Requires travel/relocation to various unanticipated locations in U.S. Mail resumes to: WinWire ...

Apple

Data Engineer - Health Sensing

Sunnyvale, CA

$150K - $277K/yr

We are a team of strong data engineers that build the scalable data infrastructure that powers ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

Zyphra

Data Engineer - Multimodal Systems

San Francisco, CA · On-site

$134K - $162K/yr

As a Data Engineer - Multimodal Systems , you will be a core contributor to creating, collecting ... Relocation and immigration support on a case-by-case basis * In-office snacks and meals provided

Apple

Senior Data Engineer

Cupertino, CA

$184K - $277K/yr

We are seeking for a Senior Data Engineer to join our App Store Data team and play an integral role ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

MrBeast

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

BEAST INDUSTRIES Senior Data Engineer Primary: Bay Area (San Francisco / Peninsula) | Secondary ... Relocation assistance where applicable, including travel and company-provided housing for the first ...

Apple

Senior Data Engineer

San Francisco, CA

$150K - $277K/yr

Preferred Qualifications 5+ years experience in data engineering and demonstrated expertise with ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

Apple

Senior Data Engineer

San Francisco, CA

$150K - $277K/yr

Preferred Qualifications 5+ years experience in data engineering and demonstrated expertise with ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

Apple

Senior Data Engineer

San Francisco, CA

$150K - $277K/yr

Preferred Qualifications 5+ years experience in data engineering and demonstrated expertise with ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

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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.

Data Engineer

Futran Tech Solutions Pvt. Ltd.

Mountain View, CA • On-site

$135K - $162K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Location - Mountain View.
Duration - 6 Months + Possible extension
Rate - 85 C2C
Only Local candidates, please don't ask for relocation.
Proper LinkedIn ID
About the Role
We are seeking Senior Data Engineers to join an experienced team building robust data infrastructure to support high-impact analytics and business needs. This role leans heavily into core data engineering - from pipeline development to data modeling - and requires hands-on expertise with modern data stack tools and strong collaboration across teams.
This is a fast-paced, execution-focused environment with immediate interviewing and onboarding.
Key Responsibilities
  • Design and implement scalable data models and schemas
  • Develop and maintain reliable, production-grade data pipelines
  • Work closely with product and analytics teams to support data-driven features
  • Ensure performance, data quality, and operational reliability across the stack
  • Build and support ETL workflows using modern tools and frameworks

Required Qualifications
  • 7+ years of experience in Data Engineering
  • Advanced SQL skills with experience in data modeling and schema design
  • Strong coding ability with Python for scripting and transformations
  • Experience with ETL tools or frameworks (e.g., SnapLogic, Airflow, DBT, etc.)
  • Excellent problem-solving skills and the ability to work independently
  • Comfortable working in fast-moving, collaborative environments
  • Strong communication and documentation skills

Nice to Have
  • Experience with Snowflake is a strong plus
  • Experience with SnapLogic or similar modern ETL platforms
  • Familiarity with CI/CD and data ops practices

Apply