1

Data Engineer Relocation Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

Lead Data Engineer

San Francisco, CA

$120K - $159K/yr

As a Lead Data Engineer, you'll lead the Financial Data Operations team, owning the pipelines that ... Happen Bank offers relocation, based on actual job level. Time Zone Requirements Local hours (PT ...

Lead Data Engineer

San Francisco, CA · On-site

$120K - $159K/yr

As a Lead Data Engineer, you'll lead the Financial Data Operations team, owning the pipelines that ... Happen Bank offers relocation, based on actual job level. Time Zone Requirements Local hours (PT ...

Senior Data Engineer

San Francisco, CA · On-site

$180K - $220K/yr

Senior Data Engineer San Francisco, CA Hybrid About us Metriport is an open-source data ... Located in San Francisco / Bay Area, or willing to relocate. * Bonus: * Experience with streaming ...

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 ...

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

Senior Data Engineer

San Mateo, CA · On-site

$120K - $164K/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 ...

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 ...

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 ...

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 ...

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 ...

next page

Showing results 1-20

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:

Infographic showing various Data Engineer Relocation job openings in California as of August 2026, with employment types broken down into 92% Full Time, and 8% Temporary. Highlights an 94% In-person, and 6% Remote job distribution.

Data Engineer

OpenAI

San Francisco, CA • On-site

$230K - $385K/yr

Full-time

Re-posted 29 days ago


Job description

About the team
The Applied team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses.
We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
About the role:
We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!
In this role, you will:
  • Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
  • Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
  • Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
  • Implement robust and fault-tolerant systems for data ingestion and processing.
  • Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
  • Ensure the security, integrity, and compliance of data according to industry and company standards.

You might thrive in this role if you:
  • Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
  • Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
  • Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
  • Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
  • Solid understanding of Spark and ability to write, debug and optimize Spark code.

This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.