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Data Engineer Relocation Jobs in Santa Clara, CA

PROPRIUS

Data Scientist

Sunnyvale, CA · On-site

$130K - $160K/yr

Yes Relocation: Yes Industry: eCommerce Are you an experienced Data Scientist with 2+ years ... Pull data from warehouse, back-test models, perform feature engineering, compare model performances ...

Mistral AI

Research Engineer, Data Infrastructure

Palo Alto, CA · On-site

$126K - $165K/yr

  • Medical

  • Retirement

... in Data Infrastructure, MLOps, or Infrastructure Engineering. • Have experience or a strong ... relocation support, wellness programs, meal and transportation allowances, and other location ...

Apple

AI/ML Engineer, Applied Data Science

Cupertino, CA

$175K - $263K/yr

  • Medical

  • Dental

  • Retirement

The Applied Data Science team within Legal Operations is building production-grade AI for a global ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

Apple

Machine Learning Engineer- Gen AI

Cupertino, CA

$150K - $225K/yr

  • Medical

  • Dental

  • Retirement

You will also work closely with data engineers to generate detailed business intelligence solutions ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

Raytheon

Principal RF Data Link Engineer

San Jose, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineers who have experience designing wireless communication and data links. This position ... This position is an onsite role, located in Tucson, AZ and is eligible for relocation assistance.

Raytheon

Senior RF Data Link Engineer

San Jose, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineers who have experience designing wireless communication and data links. This position ... This position is an onsite role located in Tucson, AZ and is eligible for relocation assistance. As ...

PROPRIUS

Senior Data Scientist

Sunnyvale, CA · On-site

Yes Relocation: Yes Industry: Do you have: Expertise in the development, execution, and improvement ... Leading a small team of engineers for assigned projects? Modeling compliance with company policies ...

Apple

Systems Debug Engineer - Data Center HWE

Sunnyvale, CA · On-site

$150K - $277K/yr

  • Medical

  • Dental

  • Retirement

As a Systems Debug Engineer, you will provide hands-on support for our data center development ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

Apple

Data Scientist

Cupertino, CA

$144K - $263K/yr

  • Medical

  • Dental

  • Retirement

We work directly with the Engineering, Product, and Operation teams responsible for routing data ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

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Showing results 21-40

All JobsData Engineer Relocation JobsData Engineer Relocation Jobs in Santa Clara, CA

Data Engineer Relocation information

See Santa Clara, CA salary details

$52.3K

$152.3K

$208.5K

How much do data engineer relocation jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data engineer relocation in Santa Clara, CA is $152,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $161,500.00 per year, depending on experience, location, and employer.

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 Santa Clara, CA?

For Data Engineer Relocation jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Relocation jobs in Santa Clara, CA look for?

The top searched job categories for Data Engineer Relocation jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Data Engineer Relocation jobs?

Cities near Santa Clara, CA with the most Data Engineer Relocation job openings:

Data Engineer Relocation jobs near you
Infographic showing various Data Engineer Relocation job openings in Santa Clara, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $152,344 per year, or $73.2 per hour.

Staff Software Engineer, Big Data Storage

Pinterest

Palo Alto, CA • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

We're looking for a Staff Software Engineer to help build the next generation of Pinterest's big data storage platform. You'll work on some of the most exciting big data open source technologies - especially Apache Iceberg - at exabyte scale to power the data infrastructure that helps Pinners discover and do what they love.

As a Staff Software Engineer, you'll serve as a technical leader and hands-on contributor, designing and building highly scalable storage systems for Pinterest's data lake. You'll partner closely with teams across data, ML/AI, analytics, and infrastructure to evolve our storage and metadata management capabilities, enabling efficient, reliable, and governed access to data at massive scale.

What you'll do:

  • Design, implement, and optimize Pinterest's exabyte-scale data lake storage platform.
  • Lead complex technical projects and initiatives for data lake storage and metadata management, driving them from architecture through execution.
  • Collaborate with stakeholders and partner teams across the organization to design storage and metadata layer technologies that unlock big data and ML/AI innovations.
  • Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills.
  • Shape the long-term technical direction for scalable, reliable, and efficient big data storage systems.
  • Engage with and contribute to open source communities such as Apache Iceberg, Spark, and Flink to help address Pinterest's scaling challenges.

What we're looking for:

  • 8+ years of relevant industry experience designing and building large-scale production distributed systems.
  • Strong experience designing and maintaining scalable storage, metadata, or data lake infrastructure.
  • Experience building storage capabilities for large-scale ML/AI or analytics workloads, including high-throughput data access, schema evolution, and large-scale column backfills.
  • Deep knowledge with building distributed systems, data storage systems, and production infrastructure.
  • Experience with big data technologies such as Apache Iceberg, Spark, Flink, Presto/Trino, Hive, or similar systems.
  • Proficiency in programming languages like Java, Scala, or Python.
  • Proven ability to lead complex technical initiatives and influence architecture across teams.
  • Strong collaboration, communication, and problem-solving skills, with a drive for technical excellence and innovation.
  • Bachelor's degree in a relevant field such as Computer Science, or equivalent experience

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. 

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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