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

We are seeking AI & Data Engineers to focus on generalist, use case driven AI solutions where ... Relocation assistance may be available based on business needs and/or eligibility. Candidates must ...

Data Solution Architect

Everett, WA ยท Hybrid

$125K - $170K/yr

Python Primary programming language for building APIs, ETL pipelines, and data-driven applications ... Relocation assistance is not a negotiable benefit for this position. Export Control Requirement:

Data Solution Architect

Everett, WA ยท Hybrid

$125K - $170K/yr

Python Primary programming language for building APIs, ETL pipelines, and data-driven applications ... Relocation assistance is not a negotiable benefit for this position. Export Control Requirement:

Data Solution Architect

Everett, WA ยท On-site

$125K - $170K/yr

Python Primary programming language for building APIs, ETL pipelines, and data-driven applications ... Relocation assistance is not a negotiable benefit for this position. Export Control Requirement:

Data Engineering: Build and maintain reliable data pipelines to ingest, process, and transform ... We are unable to offer relocation assistance for this role. The total cash range for this position ...

Data Scientist, Product

Seattle, WA ยท 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 ...

Sr. Data Scientist, Monetization

Seattle, WA ยท On-site

$164K - $287K/yr

We are looking for Data Scientists to join our Monetization Engineering organization. You will take ... Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex ...

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 ...

Showing results 21-40

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 Sep 15, 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 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 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 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 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 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 cities near Seattle, WA are hiring for Data Engineer Relocation jobs?

Cities near Seattle, WA with the most Data Engineer Relocation job openings:

Business Data Analyst

Bellevue, WA โ€ข On-site

Strong-Bridge Envision Consulting
Business Management Consultingย โ€ขย 201 - 500 employees

Full-time

Posted 28 days ago


Key responsibilities

  • Create visualizations and workflows within the Adobe suite for delivery to product, marketing, and executive leadership.

  • Review and analyze historical KPIs and product performance metrics to inform decision-making.

  • Facilitate meetings and workshops to gather and understand requirements, and create acceptance criteria for project deliverables.


Job description

At Strong-Bridge Envision Consulting (an HCL Technologies company), we work as true partners both with our employees and our clients, embodying our number one value: People First. Our team is driven by a desire to always learn, improve, and innovate. We take an open-minded approach to opportunities and challenges and are focused on solving business challenges.
We deliver programs and projects that exceed stakeholder expectations. To be successful here, you will be a driver with a flexible working style, and excellent communication skills; you will think strategically and act tactically.
Strong-Bridge Envision Consulting (an HCL Technologies company) is seeking an experienced Business Analyst / Analytics Product Owner to join our firm as a dedicated full-time employee. This is a Seattle based opportunity; relocation is not provided.
Must have experience working on projects focused on analytics solutions and performance measurement.
Responsibilities:
  • Responsible for creating visualizations and workflows within the Adobe suite for delivery to product, marketing, and executive leadership.
  • Review and analyze historical KPIs and product performance metrics.
  • Decompose enterprise and channel-level strategy into meaningful product level goals and metrics.
  • Measure marketing campaign performance and digital (web, mobile, microsites, paid media, email, etc๏ฟฝ) behavior across the end-to-end journey of a telecom customer.
  • Requirement elicitation: Facilitate meetings and workshops, create a shared understanding with stakeholders, and engage team members to gather and understand requirements.
  • Create acceptance criteria to express requirements. Ensure test and validation plans are complete.
  • Become a subject matter expert for assigned area and assist in program design and vision. Be the primary liaison between product managers, data engineers, and data visualization team members. Communicate scope changes to the delivery team.
  • Accountable for interpreting and explaining analytics outputs to support executive reviews, following up on corrections/errors, and remediation.

Qualifications:
  • Bachelor's degree, and 2 years of experience as an Adobe Analyst, working on projects focused on decision sciences and/or analytics solutions.
  • In-depth knowledge of Adobe Analytics reporting concepts eVars, Props, Processing Rules, Classifications, data layer, etc
  • Interim level knowledge and experience with Adobe Marketing Cloud Analysis Workspace
  • Prefer familiarity with other Adobe Marketing Cloud products Adobe Audience Manager and Adobe Test & Target
  • Preferred fluency in SQL with experience querying large databases.
  • Experience defining KPIs and metrics that are aligned to enterprise level objectives.
  • Expertise driving product big picture strategy that ties together priority and continuity across each feature delivery.
  • Excellent verbal and written communication skills and the ability to interact professionally with diverse groups, executives, managers, and subject matter experts.
  • Experience conducting stakeholder interviews and facilitating stakeholder workshops.
  • Ability to work independently and in fast-paced environments with tight deadlines and minimal supervision.
  • Extraordinary attention to detail.
  • Ability to work permanently in the U.S. on a full-time basis
  • Must be in the Seattle area or willing to relocate; with ability to work on the client site 100% of the time .

Desired Skills:
  • Prior client-facing management consulting experience.
  • A talent for multi-tasking, meeting deadlines, learning new skills and methodologies, and working under pressure in fast paced environment.
  • Flexible working style, ability to work in various types of client environments.
  • Excellent communication skills, and proven ability to communicate effectively across the organization.
  • Ability to lead decision making through influence, with the ability to make sound decisions in the best interest of the client as needed throughout the project lifecycle.
  • Collaborative working style with the ability to flex with many different types of working styles on client site.