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Data Engineer Relocation Jobs in Seattle, WA (NOW HIRING)

You will partner with various engineering teams to improve search quality and guide feature ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

Ability to work collaboratively with engineering teams to support data and application needs. Relocation: This position does offer relocation. Drug Free Workplace: Boeing is a Drug Free Workplace ...

Ability to work collaboratively with engineering teams to support data and application needs. Relocation: This position does offer relocation. Drug Free Workplace: Boeing is a Drug Free Workplace ...

AWS Cloud Engineer

Seattle, WA · On-site

$63.50 - $84.75/hr

Fulltime AWS data services (S3, Glue, Redshift, Athena, Lambda, Step Functions, Kinesis, etc ... Willingness to relocate to job location: Any Relocation Concern (family/house/weather): Current ...

Relocation assistance available for out-of-state candidates* Position Overview Innovar Group is ... Partner with site selection, design, engineering, construction, finance, legal, commercial, and ...

Collect data on supplier and partner performance to ensure compliance to requirements. * Provide ... This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeingis a ...

Collect data on supplier and partner performance to ensure compliance to requirements. * Provide ... This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeingis a ...

You will partner with various engineering teams to improve search quality and guide feature ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

Data Scientist, Product

Seattle, WA · On-site

$230K - $385K/yr

We collaborate across research, engineering, design and business functions to turn cutting-edge AI ... We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new ...

Manage change/configuration management processes and engineering data management. * Utilize ... Relocation: This position does not offer relocation. Drug Free Workplace: Boeing is a Drug Free ...

Civil Engineer

Seattle, WA · Hybrid

$45 - $60/hr

Adidev delivers innovative, data-driven solutions that modernize infrastructure, improve efficiency ... needs -Travel or relocation may be required depending on assignments -Perks and Benefits ...

Manage change/configuration management processes and engineering data management. * Utilize ... Relocation: This position does not offer relocation. Drug Free Workplace: Boeing is a Drug Free ...

Civil Engineer

Seattle, WA · On-site

$45 - $60/hr

Adidev delivers innovative, data-driven solutions that modernize infrastructure, improve efficiency ... needs -Travel or relocation may be required depending on assignments -Perks and Benefits ...

Senior Systems Engineer

Tukwila, WA · On-site

$176K - $239K/yr

... thermal, data, etc. * Create and implement strategic approaches for program and business area ... Relocation: This position offers relocation based on candidate eligibility. Note: Basic relocation ...

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Data Engineer Relocation information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do data engineer relocation jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data engineer relocation in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 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 Seattle, WA? For Data Engineer Relocation jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Relocation jobs in Seattle, WA look for? The top searched job categories for Data Engineer Relocation jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Engineer Relocation jobs? Cities near Seattle, WA with the most Data Engineer Relocation job openings:
AIML - Data Scientist, Evaluation

AIML - Data Scientist, Evaluation

Apple

Seattle, WA

$139K - $258K/yr

Full-time

Medical, Dental, Retirement

Posted 12 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 666 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data.
You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.
Description
Research and develop evaluation methods to improve the quality of Apple user facing products, such as Siri and Apple Intelligence.
Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that product engineering will use every day.
Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed, including prompt engineering and building LLMs as judges.
Conduct analysis that includes data collection and quality control, requirements specification, processing and presentations.
Build and prototype analysis pipelines iteratively to provide insights at scale.
Develop comprehensive knowledge of product data structures and metrics, advocating for changes where needed for product development.
Partner closely with product engineering teams on core machine learning algorithms and user experience evaluations.
You should be passionate about building outstanding products. This position involves a wide variety of skills and innovation.
Preferred Qualifications
Proven ability to collaborate effectively across functions and work well within a team.
Capable of driving projects of varying sizes and scopes - some will take months and some weeks - and you will need to know when to dive deep.
Worked with methods that address accuracy and variability in human annotation data.
Ability to learn new technology and skills to accommodate changing working requirements.
Minimum Qualifications
PhD in Statistics, Mathematics, Econometrics, Economics, Operations Research, Computer Science, or related field and 1+ year(s) data-science experience or Master's Degree in Statistics, Mathematics, Econometrics, Economics, Operations Research, Computer Science, or related field and 3+ years data-science experience.
Proficiency in data science, machine learning, and analytics, including statistical data analysis.
Experience crafting, conducting, analyzing, and interpreting experiments and investigations, especially on data quality, evaluation and risk assessment.
Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala).
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. Strong communication skills and the ability to naturally explain difficult technical topics (especially causal topics) to everyone from data scientists to engineers to business partners.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976