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Data Engineer Gcp Data Engineer Jobs in Seattle, WA

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and auditable data systems on our modern Databricks Lakehouse platform hosted in Microsoft Azure. In this ...

Data Engineer

Seattle, WA · On-site

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and auditable data systems on our modern Databricks Lakehouse platform hosted in Microsoft Azure. In this ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

The Data Engineer will be responsible for designing, building, and maintaining robust and scalable data pipelines and infrastructure. This role requires a strong understanding of data warehousing, ET ...

Data Engineer

Redmond, WA · On-site

$133K - $219K/yr

We are looking for a Data Engineer who is about building highly scalable cloud services, secure platforms, and modern partner onboarding experiences. You will work on critical platform capabilities ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Monitor and troubleshoot data engineering-related incidents * Support development and maintenance of relevant documentation * Participate in knowledge transfer activities, issues, and risks ...

"Data Engineer"

Seattle, WA · On-site

$130K - $157K/yr

I have an opportunity for "Data Engineer" and looking for a candidate who can join Immediately if you are interested reply me with your updated resume or consultant's contact details and if you could ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Skills required: * Cosmos SQL experience Azure Power BI * Knowledge of Azure Data Factory ADLS * Individuals with strong technical background in SQL SQL Server data engineering BI Kusto ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Requirement - AI Data Engineer Location- Redmond WA 98052-Hybrid Contract W2 Top 3 Must-Have Hard Skills 1. Reporting & Analytics - 5+ Years * Minimum 5 years of experience designing and developing ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and operate the data platform that powers reporting, analytics, and AI across the enterprise. This hands-on ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Minimum 5 years of experience in data engineering and data integration. * Strong proficiency in SQL, ETL processes, and data pipeline development. Typical Day in the Role * Purpose of the Team: The ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and operate the data platform that powers reporting, analytics, and AI across the enterprise. This hands-on ...

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Experience supporting Data Engineering, Analytics, AI, or Business Intelligence environments. * Experience with CI/CD pipelines, GitHub, Azure DevOps, and automation frameworks. * Experience with ...

Data Engineer

Seattle, WA · On-site

$60 - $65/hr

We are seeking a skilled and detail-oriented Data Engineer to join our team in Seattle, Washington. The ideal candidate will be responsible for designing, building, and maintaining scalable data ...

New

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Data Engineer Location: Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark)

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines which transform data into clean, enriched, and ...

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

They are seeking an Associate Data Engineer who will work hands-on in the HR Analytics data engineering vertical, executing solution designs and building data models and visualizations under guidance.

This role is for one of our clients Compensation: $60 - $85 per hour A rapidly growing AI organization is seeking a Data Engineer - Finance to build and maintain the data infrastructure that powers ...

Data Engineer

Redmond, WA · On-site

$80 - $85/hr

Demonstrated ability to integrate enterprise data sources and develop SQL queries, ETL processes, and data pipelines. * Proficiency in scripting/programming languages such as Python, PowerShell, or ...

Showing results 21-40

Data Engineer Gcp Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

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

As of Aug 23, 2026, the average yearly pay for data engineer gcp data engineer 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 GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

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

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

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

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

What are popular job titles related to Data Engineer Gcp Data Engineer jobs in Seattle, WA?

For Data Engineer Gcp Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Gcp Data Engineer jobs in Seattle, WA look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Data Engineer Gcp Data Engineer jobs?

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

Infographic showing various Data Engineer Gcp Data Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

Data Engineer

Trupanion

Seattle, WA • On-site, Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 11 days ago


Trupanion rating

9.6

Company rating: 9.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

5th of 311 rated insurance


Job description

Company Description

Trupanion is a leading provider of medical insurance for cats and dogs in North America. Our mission is to help loving, responsible pet owners budget and care for their pets. At Trupanion, we offer a collaborative, casual, and pet-friendly environment where everyone is encouraged to be themselves.

Job Description

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and auditable data systems on our modern Databricks Lakehouse platform hosted in Microsoft Azure. In this role, you will be on the cutting edge of data engineering-thinking, designing, and documenting data marts.

We are looking for a dynamic, forward-thinking engineer who is passionate about the latest developments in the data ecosystem and places the utmost importance on data quality and governance. You will work closely with your team and peers to drive the evolution of continuous delivery, automated quality frameworks, and agile data products.

This position is open across the United States with a preference for those in Seattle or the East Coast time zone. Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual, pet-friendly office at least 3 days a week

What you will do

  • Data Ingestion & Pipeline Reliability: Responsible for ensuring continuous, accurate data availability by monitoring, troubleshooting, and optimizing batch and real-time streaming pipelines across the Medallion architecture to deliver stable, high-availability data feeds with minimal downtime.
  • Data Mart Delivery & Business Modeling: Responsible for delivering query-ready Gold-layer data marts, dimensional models, and aggregate tables by partnering directly with Data Analytics and Data Science teams to map business requirements into high-performance user-facing schemas.
  • Data Contract Validation & Ingestion Quality: Responsible for protecting the integrity of the Lakehouse by configuring automated validation gates and alerts at the ingestion stage to catch and block corrupt or non-compliant source data
  • Data Quality Frameworks & Precision: Responsible for maintaining flawless data integrity and trust across all data products by writing, deploying, and maintaining automated data quality test suites and expectations for key transformation stages.
  • Data Governance & Asset Discoverability: Responsible for ensuring all data assets are easily discoverable by documenting schemas, applying metadata tags
  • Cross-Functional Collaboration & Autonomy: Responsible for serving as an autonomous data engineering partner to downstream teams by proactively investigating data discrepancies, resolving support tickets, and aligning business definitions to unblock analysts and data scientists.

Experience you have:  

  • Education: Bachelor's level degree or higher in Computer Science, Engineering, or equivalent practical experience.
  • Core Data Engineering: Minimum 2+ years of experience designing, building, and enhancing high-performance pipelines (ETL/ELT) and building optimized Data Marts across the enterprise.
  • Databricks Ecosystem: Minimum 2+ years of deep technical experience within a Databricks-centric environment leveraging:
    • Delta Lake & Apache Spark (PySpark / SparkSQL)
    • Unity Catalog for data governance, lineage, and documentation
    • Delta Live Tables (DLT) or similar orchestration tools
  • Data Quality First: Proven experience implementing robust data quality, testing, and monitoring frameworks (e.g., Great Expectations, Databricks Expectations, or custom data quality gates) to ensure flawless data integrity.
  • DevOps & Lifecycle: Experience required with software and infrastructure change management, CI/CD pipelines (Azure DevOps/GitHub Actions), and source code control.

What you'll bring:  

  • Modern Lakehouse Architecture: Passion for the latest industry trends, including the Medallion Architecture (Bronze/Silver/Gold), Data Contracts, and decentralized data design.
  • Design & Documentation: Strong conceptual thinker who doesn't just build, but actively designs and documents data assets, schemas, and definitions directly within Unity Catalog.
  • Pipeline Versatility: Hands-on experience implementing data pipelines for a variety of flows, including batch data integrations, real-time streaming analytics (Structured Streaming), and big data analytics.
  • Observability: Experience setting up comprehensive logging, alerting, and monitoring solutions for Spark jobs and data pipelines.
  • Agile & Dynamic Mindset: Thrives in a fast-paced, Agile software development environment, with a strong proactive drive to learn and adopt new tools and features as the Databricks ecosystem evolves.
     

Compensation: 

  • Thebasesalaryrange for this position is$130,000 - $150,000, on a full-time schedule. 
  • Along with base compensation, Trupanion employees are currently eligible for monthly bonuses.
  • We want all employees to be invested inTrupanion'ssuccess, so we grant Restricted Stock Units to all new team members. Our new hire grants vest over 4 years. 
Additional Information

Benefits and Perks:

  • Full medical, dental, and vision benefits at no cost to the employee
  • Four weeks of paid time off and 9 paid float holidays (you can decide which days are most important to you!)
  • Five-week sabbatical after five years of employment
  • Open, casual, pet-friendly, and fun office environment
  • Free medical health insurance for your pet (1 dog or cat)
  • Paid time off to volunteer at nonprofit organizations
  • Seattle Office Amenities: Free on-site gym, free dog walking services for office pets during business hours, free parking, and paid ORCA cards.

For more information about Trupanion, visit https://trupanion.com/about

Learn more about how Trupanion has revolutionized our industry and the reimbursement model: https://www.youtube.com/watch?v=vdWZ4KHiPTQ

Trupanion is an equal-opportunity employer and embraces diversity. We are committed to building a team that represents a variety of backgrounds, abilities, perspectives, and skills.

We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodations.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.


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