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Senior Data Engineering Jobs in Seattle, WA (NOW HIRING)

Elevance Health

Senior Data Engineer

Seattle, WA · Hybrid

$120K - $163K/yr

Leads the architecture, engineering, and ongoing operation of the security data lake and associated data products supporting multiple security technologies and data sources. Establishes the technical ...

The Walt Disney Company

Sr Data Engineer

Seattle, WA

$130K - $156K/yr

You'll partner closely with the AI Core Engineering team to enable shared agents, registries, and developer tools with robust, reliable, real-time data. As a Senior Engineer, you will design and ...

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Senior Data Engineer Location: Remote JD: Key Responsibilities • Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory ...

The Walt Disney Company

Sr Data Engineer

Seattle, WA

$120K - $163K/yr

Additionally, itis responsible forthe data engineering, science, and products for Disney ... Role Summary The Senior Data Engineer will design, build, and optimize data pipelines and ...

Elevance Health

Senior Data Engineer

Seattle, WA · Hybrid

$120K - $163K/yr

Leads the architecture, engineering, and ongoing operation of the security data lake and associated data products supporting multiple security technologies and data sources. Establishes the technical ...

The Trade Desk

Senior Data Engineer

Bellevue, WA · On-site

$119K - $161K/yr

They are seeking a Senior Data Engineer to build reliable, scalable, and well-governed enterprise ... You stay current on data engineering patterns, tooling, and best practices and apply them ...

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Senior Data Engineering information

See Seattle, WA salary details

$18

$64

$92

How much do senior data engineering jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for senior data engineering in Seattle, WA is $64.65, according to ZipRecruiter salary data. Most workers in this role earn between $53.08 and $76.59 per hour, depending on experience, location, and employer.

Can I make 200K as a data engineer?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or within large organizations. Salary levels depend on factors such as location, industry, certifications, and the complexity of projects handled.

What is a Senior Data Engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What is the highest salary for a senior data engineer?

The highest salaries for senior data engineers can exceed $150,000 to $200,000 annually, especially in high-cost living areas or with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation may also include bonuses, stock options, and other benefits depending on the company and location.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

What engineer makes $500,000 a year?

Senior Data Engineers in high-demand industries or with extensive experience, specialized skills in cloud platforms, and advanced certifications can earn salaries approaching or exceeding $500,000 annually, especially in major tech companies or financial institutions. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise in data pipelines, distributed systems, and big data tools.

What engineers make $300,000 a year?

Senior Data Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation varies by industry, location, and company size, with some roles in finance or technology offering higher salaries for senior-level professionals.

How does a Senior Data Engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.
What are the most commonly searched types of Data Engineering jobs in Seattle, WA? The most popular types of Data Engineering jobs in Seattle, WA are:
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What job categories do people searching Senior Data Engineering jobs in Seattle, WA look for? The top searched job categories for Senior Data Engineering jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Senior Data Engineering jobs? Cities near Seattle, WA with the most Senior Data Engineering job openings:
Senior Data Engineering jobs near you
Infographic showing various Senior Data Engineering job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 14% Part Time, 1% Temporary, and 8% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $134,481 per year, or $64.7 per hour.
Sr. Data Engineer, WW Standardization & Automation

Sr. Data Engineer, WW Standardization & Automation

Amazon

Bellevue, WA

$119K - $162K/yr

Full-time

Posted 28 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,015 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting. Do you excel in dynamic, fast-paced environments and find joy in converting data into actionable insights. Are you adept at implementing data governance practices and defining data access and quality standards.

If you thrive in innovation and can deliver scalable Data Engineering Solutions, then the Worldwide Operations Finance Standardization & Automation (SnA) team has an exciting opportunity for you. We are seeking a customer-centric Senior Data Engineer to establish a reliable and accessible data platform, ensuring Operations Finance customers have complete trust in the data, technology, and tools to make data-driven business decisions.
As a Senior Data Engineer in WWSNA, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions and implement complex data models for Amazon Inbound & Outbound Transportation business

As a Sr. DE you will create solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You should have excellent business and communication skills to be able to work with business owners, Product teams and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs.

You will be responsible for designing, developing, and operating a data service platform using Python, Airflow, and SQL to build the various ETL, analytics, and data quality components. You'll automate deployments using AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit (CDK), and AWS Cloud Formation. You will work with AWS services like Redshift, Glue, S3, IAM, CloudWatch, and more.
Key job responsibilities
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Python, SQL and AWS big data technologies.
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies of the team.
- Designing and implementing complex pipelines and other Data Engineering solutions.
- Work closely with business owners, developers, Business Intelligence Engineer to explore new data sources and deliver the data.
- Create extensible designs and easy to maintain solutions with the long term vision in mind
- Improve tools, processes, scale existing solutions, create new solutions as required based on team and stakeholder needs

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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