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Data Engineering Jobs in Everett, WA (NOW HIRING)

Description As a data engineering leader within Media Services, you will direct a large organization responsible for the design, development, and operation of massive-scale data pipelines and ...

Manager, Data Engineering

Seattle, WA · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Manager, Data Engineering

Seattle, WA · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Manager, Data Engineering

Seattle, WA · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Python developer (data engineering)

Seattle, WA · On-site

$57.25 - $78.75/hr

... data engineering and application development. Proficiency in frontend and backend frameworks: Backend: Python, Django Frontend: Angular, React Ability to design and implement RESTful APIs and ...

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Data Engineering information

See Everett, WA salary details

$50.8K

$182.3K

$269K

How much do data engineering jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data engineering in Everett, WA is $182,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,500.00 and $187,800.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in Everett, WA?

The most popular types of Data Engineering jobs in Everett, WA are:

What are popular job titles related to Data Engineering jobs in Everett, WA?

For Data Engineering jobs in Everett, WA, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in Everett, WA look for?

The top searched job categories for Data Engineering jobs in Everett, WA are:

What cities near Everett, WA are hiring for Data Engineering jobs?

Cities near Everett, WA with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Everett, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $182,291 per year, or $87.6 per hour.

Data Engineering Manager

Seattle, WA • On-site

The Walt Disney Company
Amusement, Gambling, and Recreation • 10K+ employees

$179K - $241K/yr

Full-time

Re-posted 5 days ago


Walt Disney Company rating

7.4

Company rating: 7.4 out of 10

Based on 148 frontline employees who took The Breakroom Quiz


Job description

Job Posting Title:

Data Engineering Manager

Req ID:

10128773

Job Description:

Department Description

At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences.

The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.

Team Description:

The Data Solutions & Products group is part of Enterprise Technology. We are responsible for designing and developing enterprise solutions and managing a diverse portfolio of products and tools related to Data, Analytics and Automation used by business teams across The Walt Disney Company.

The Data Engineering Manager position is one of the key technical leadership roles on the team. You will have the opportunity to lead major projects related to our data platforms and be the product owner for those platforms. The first project this role will be responsible as Delivery Manager for leading is the implementation of a Finance Data Layer-a data lakehouse that provides data to Finance systems and applications including an EPM system, BI reporting & analytics, and AI/ML applications.

You will be working in a challenging, fast-paced, highly collaborative and rewarding environment, as a member of product and project teams that work closely with each other and with our business partners to deliver innovative and industry-leading business solutions.

What You'll Do:

  • Lead a technical team through the delivery of major engineering initiatives, providing guidance for major technical projects related to data platforms and solutions.

  • Lead project teams while delivering on-time, on-budget and on-scope.

  • Lead the innovation, development and improvement of software and data solutions by managing day-to-day development, testing and implementation of technical solutions.

  • Product ownership for data platforms-including setting product strategy and defining and managing the product roadmap

  • Partner closely with business stakeholders to deliver data solutions that meet their business needs

  • Excellent communication skills, ability to communicate well to both technical and business audiences

  • Lead a team of individual contributors and provide mentorship and career development beyond day-to-day technical guidance.

  • Strong collaboration skills, with ability to guide and influence technical decision making.

Required Qualifications & Skills:

  • 8+ years of technical experience designing, architecting, and programming data solutions using languages such asPython, Scala, or Java.

  • Proven track record of architecting and managing high-scale cloud data platforms, with mandatory, hands-on experience inSnowflake.

  • Deep domain expertise in enterprise financial data architectures (e.g., FP&A, modern ledgers, corporate consolidation workflows) and preferably HR data domains.

  • Demonstrated experience successfully operating as both anEngineering Delivery Managerand aData Product Owner(defining product vision, strategy, and roadmaps).

  • Proven success leading the end-to-end execution of large, complex, data-centric initiatives from inception to production deployment

  • Strong history of leading, mentoring, and developing high-performing teams of data engineers and individual contributors.

  • Exceptional capability to partner across all organizational levels, effectively translating complex technical roadmaps for non-technical business executives.

  • Ability to manage multiple concurrent projects with high operational standards, keeping teams aligned on scope, budget, and deadlines.

  • Intellectually curious with a continuous drive to evaluate and adopt emerging data technologies and industry best practices.

Preferred Qualifications:

  • Experience with SAP Systems (S4, BW, HANA, BDC)

  • Experience with EPM Systems (e.g. Oracle EPM)

  • Experience with AI/ML

  • Experience with Data Governance

  • Experience with Master Data Management

Education:

  • Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

  • Master's Degree a Plus

#DISNEYTECH

The hiring range for this position in Burbank, CA is $171,600 - $230,100 per year and in Seattle is $179,700 - $241,000 per year and in Orlando, FL is $163,400 - $219,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Enterprise Technology and Data

Job Posting Primary Business:

Services and Platforms

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Burbank, CA, USA

Alternate City, State, Region, Postal Code:

USA - FL - Kirkman Point 1, USA - WA - 925 4th Ave

Date Posted:

2026-01-20

What Walt Disney Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Walt Disney logo

About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

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