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Senior Data Engineer Jobs in Bothell, WA (NOW HIRING)

Auger

Sr. Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

The Senior Data Engineer will build the data foundation for Auger's Supply Chain OS, focusing on transforming customer-shared data into a unified ontology that powers analytics and AI workflows.

The Walt Disney Company

Sr Data Engineer

Seattle, WA · On-site

$148K - $199K/yr

Job Posting Title: Sr Data Engineer Req ID: 10153287 Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of ...

CoreWeave

Senior Data Engineer

Seattle, 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 ...

CoreWeave

Senior Data Engineer

Bellevue, WA

$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 ...

CoreWeave

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 ...

WaFd Bank

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 ...

WaFd Bank

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 ...

WaFd Bank

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 ...

WaFd Bank

Senior Data Engineer

Seattle, WA · Hybrid

$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 ...

Magnite

Senior Data Engineer, Scala

Seattle, WA · Hybrid

$450/day

Senior Data Engineer, Scala New York City, NY Boston, MA Los Angeles, CA Broomfield, CO Seattle, WA Hybrid Schedule (M/F remote, T/W/TH in-office) At Magnite, we cultivate an environment of ...

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 ...

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Showing results 1-20

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Bothell, WA

Senior Data Engineer information

See Bothell, WA salary details

$92.1K

$143.6K

$198.9K

How much do senior data engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for senior data engineer in Bothell, WA is $143,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $163,700.00 per year, depending on experience, location, and employer.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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 strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Bothell, WA? The most popular types of Data Engineer jobs in Bothell, WA are:
What are popular job titles related to Senior Data Engineer jobs in Bothell, WA? For Senior Data Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Bothell, WA look for? The top searched job categories for Senior Data Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Senior Data Engineer jobs? Cities near Bothell, WA with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Bothell, WA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $143,603 per year, or $69 per hour.

Sr. Data Engineer

Auger

Bellevue, WA • On-site

$128K - $154K/yr

Full-time

Re-posted 15 days ago

Job description

Job Summary:
Auger is an autonomous operating system for supply chains, connecting enterprise systems into a single data layer. The Senior Data Engineer will build the data foundation for Auger’s Supply Chain OS, focusing on transforming customer-shared data into a unified ontology that powers analytics and AI workflows.
Responsibilities:
• Own and evolve the data lifecycle across systems, from ingestion through production-ready ontology
• Ingest data from databases, data streams, batch files, and incremental feeds
• Define standards for and operate medallion-style lakehouse pipelines (bronze → silver → gold)
• Transform raw inputs into a consistent digital twin of supply chain reality that scales across customers
• Serve high-quality data to analytics, AI workflows, and write-back systems with clear correctness guarantees
• Own data correctness and reliability in production, including monitoring, on-call, incident response, and post-incident systemic improvements
• Define and enforce data quality checks, validations, and robust backfill strategies
• Use AI-assisted tools responsibly, setting expectations for review, validation, and production readiness of generated code
• Reduce complexity at scale by simplifying pipelines, eliminating redundancy, and automating recurring workflows
• Partner with product, science, and platform tooling teams to translate ambiguous needs into durable technical designs
Qualifications:
Required:
• Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience
• 5+ years demonstrated development experience using technologies like Python, SQL, Scala, Spark, Flink, and Beam
• 5+ years demonstrated experience in data management (structured and unstructured) and modern database technologies
• Proven experience owning and evolving large-scale production data systems in distributed environments
• Hands-on experience designing and operating lakehouse or warehouse architectures at scale
• Strong schema design skills and deep intuition for data modeling in complex domains
• A production mindset—you’ve owned critical systems, led incident resolution, and driven long-term fixes
• Experience supporting AI/ML or AI-powered products where data quality directly impacts outcomes
• Familiarity with streaming or incremental processing at scale
• Experience defining data quality, observability, anomaly detection, or reliability standards
• A deep curiosity and eagerness to problem solve in ambiguous, high-impact problem spaces without a playbook
• Ability to lead through ambiguity with urgency, patience, and good judgment while raising the bar for others
• Strong communication and collaboration skills
Preferred:
• A plus if you have prior experience in the supply chain domain
Company:
Auger is a logistics software startup that integrates with inventory management systems to provide insights for supply chain businesses. Founded in 2024, the company is headquartered in Bellevue, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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