1

Senior Gcp Data Engineer Jobs in Renton, WA (NOW HIRING)

Senior Data Engineer

Redmond, WA · On-site

$160K - $261K/yr

These systems include, developer tooling, build pipelines, validation workflows, and engineering telemetry, incident data. You will integrate AI into the development lifecycle through practical ...

About the role: We're seeking a Senior Data Engineer to design and build the foundational datasets that power analytics, business intelligence, and AI across CoreWeave. You will own the development ...

About the role: We're seeking a Senior Data Engineer to design and build the foundational datasets that power analytics, business intelligence, and AI across CoreWeave. You will own the development ...

Senior Data Engineer

Bellevue, WA · On-site

$182K - $242K/yr

About the role: We're seeking a Senior Data Engineer to design and build the foundational datasets that power analytics, business intelligence, and AI across CoreWeave. You will own the development ...

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

The Data Engineer IV is a senior member of the Office of the Chief Data Office (OCDO) Data Engineering team leading the development of new translational data infrastructure, integrations, and user ...

Senior Data Engineer

Seattle, WA · On-site

$135K - $173K/yr

As a Senior Data Engineer, you will have a leading role in designing, building, and maintaining the organization's data repository and integration platforms, data flows (pipelines/integrations), and ...

Senior Data Engineer

Seattle, WA · Hybrid

$135K - $173K/yr

As a Senior Data Engineer, you will have a leading role in designing, building, and maintaining the organization's data repository and integration platforms, data flows (pipelines/integrations), and ...

Senior Data Engineer

Seattle, WA · Hybrid

$135K - $173K/yr

As a Senior Data Engineer, you will have a leading role in designing, building, and maintaining the organization's data repository and integration platforms, data flows (pipelines/integrations), and ...

Data Engineer II

Seattle, WA · On-site

$119K - $162K/yr

As a Data Engineer II, you will share ownership of Redfin's Data Platform, owning business critical ... Experience with cloud services (AWS / Azure / GCP) is a plus. AWS is preferred * Ability to ...

Data Engineer II

Seattle, WA · On-site

$119K - $162K/yr

As a Data Engineer II, you will share ownership of Redfin's Data Platform, owning business critical ... Experience with cloud services (AWS / Azure / GCP) is a plus. AWS is preferred * Ability to ...

Data Engineer, Partner Experience

Seattle, WA · On-site

$130K - $156K/yr

The Data Engineer will partner with Senior Data Engineers and SDE teams to design and maintain our Redshift-based data warehouse environment, building scalable architectures and migrating critical ...

Lead Data Engineer - R01568940

Seattle, WA · On-site

$130K - $156K/yr

Senior Data Engineer Job requirements * Data Engineer: Brillio is looking for a Data Engineer to join the Data Pipeline team. As a member of the team, you will get to live on the front edge of modern ...

Showing results 41-60

Senior Gcp Data Engineer information

See Renton, WA salary details

$91.1K

$142.1K

$196.8K

How much do senior gcp data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior gcp data engineer in Renton, WA is $142,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $162,000.00 per year, depending on experience, location, and employer.

What is a Senior GCP Data Engineer?

Senior GCP Data Engineers are experienced professionals who design, build, and manage data processing systems on Google Cloud Platform (GCP). They are responsible for developing scalable data pipelines, ensuring data quality, and enabling analytics and machine learning solutions. Their work often involves using tools like BigQuery, Dataflow, and Dataproc, as well as programming languages such as Python or SQL. Senior GCP Data Engineers also mentor junior team members and contribute to architectural decisions to ensure best practices in cloud data engineering.

What are some common challenges faced by Senior GCP Data Engineers when migrating legacy data systems to Google Cloud Platform?

Senior GCP Data Engineers often encounter challenges such as ensuring data integrity during large-scale migrations, optimizing performance for cloud-native architectures, and adapting legacy ETL processes to leverage GCP services like BigQuery and Dataflow. Collaborating with cross-functional teams to map business requirements to cloud solutions is also key. Additionally, they must address security and compliance concerns, ensuring data is protected throughout the migration process.

What are the key skills and qualifications needed to thrive as a Senior GCP Data Engineer?

To thrive as a Senior GCP Data Engineer, you need deep expertise in data engineering concepts, SQL, programming languages like Python or Java, and a strong understanding of Google Cloud Platform (GCP) services, usually supported by a bachelor’s degree in computer science or a related field. Familiarity with tools such as BigQuery, Dataflow, Cloud Composer, and relevant GCP certifications like Professional Data Engineer is highly valued. Strong problem-solving, communication, and project management skills set top performers apart, enabling effective collaboration and leadership in complex data projects. These capabilities are crucial for designing scalable data solutions, ensuring data reliability, and driving data-driven decision-making within organizations.

What is the difference between Senior Gcp Data Engineer vs Data Scientist?

AspectSenior Gcp Data EngineerData Scientist
Required CredentialsCloud certifications (GCP), SQL, Python, data engineering skillsStatistics, machine learning, programming (Python/R), advanced degrees often preferred
Work EnvironmentData pipelines, cloud infrastructure, ETL processesData analysis, modeling, research, visualization
Industry UsageData infrastructure, big data projects, cloud-based data solutionsPredictive modeling, insights, data-driven decision making

The main difference is that Senior Gcp Data Engineers focus on building and maintaining data pipelines and infrastructure on GCP, while Data Scientists analyze data to generate insights and models. Both roles require strong technical skills, but their core responsibilities differ significantly.

What job categories do people searching Senior Gcp Data Engineer jobs in Renton, WA look for? The top searched job categories for Senior Gcp Data Engineer jobs in Renton, WA are:
What cities near Renton, WA are hiring for Senior Gcp Data Engineer jobs? Cities near Renton, WA with the most Senior Gcp Data Engineer job openings:
Infographic showing various Senior Gcp Data Engineer job openings in Renton, WA as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $142,097 per year, or $68.3 per hour.

Senior Data Engineer

Microsoft

Redmond, WA • On-site

$160K - $261K/yr

Full-time

Re-posted 28 days ago


Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

78th of 242 rated software companies


Job description

Overview
As AI reshapes how software is built and defended, Microsoft Security is standing up a new Engineering Excellence organization that will define what world-class security engineering looks like in the agentic AI era. Engineering teams that lead in the AI era are organized around outcomes, built on shared platforms any team can draw from, and augmented by agents that are part of the daily workflow. Governance runs at the speed of development. This organization will build that foundation for Microsoft Security, and in doing so, help define what engineering excellence looks like at AI scale.
Mission:
Build and scale core product-making systems that transform developer and builder productivity and enable AI-assisted workflows across Microsoft Security.
Responsibilities
What You'll Do:
In this role, you will build product-making infrastructure that enables developers and builders safer, faster and more reliable. These systems include, developer tooling, build pipelines, validation workflows, and engineering telemetry, incident data. You will integrate AI into the development lifecycle through practical automation, pipeline intelligence, testing support, and code assistance, data and feedback analysis, while removing friction from daily engineering workflows and helping teams adopt shared systems through quality, usability, and measurable impact.
Expectations:
The ideal candidate brings strong hands-on experience in engineering infrastructure, and developer tool chains, with the ability to integrate AI into real development workflows across coding, testing, deployment, and operations. They should be comfortable improving large codebases and tooling ecosystems, contributing to measurement systems, and building solutions that work within security, compliance, and policy constraints.
Candidates for this role should hold a high bar for engineering excellence. The right person will not simply implement tools but build durable systems that improve the productivity of many engineers. They should demonstrate strong execution, sound technical judgment, focus on quality and reliability, and the ability to measure impact through improvements in engineering velocity, system health, and adoption of shared platforms.
Qualifications
Required/minimum qualifications
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Additional or preferred qualifications
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
2+ years experience with data governance, data compliance and/or data security.
Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Microsoft logo

About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media