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Data Engineer Jobs in Bothell, WA (NOW HIRING)

Azure Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Role : Azure Data Engineer Location : Bellevue, WA Contract Mandatory Skill Sets: • Strong experience in Data Engineering , Python, Snowflake, SQL, Azure • Hands-on expertise with ETL/data ...

Data Engineer

Redmond, WA

$128K - $154K/yr

Company Description Vignesh KRG Technologies Inc. 661 367 8000 *405 vignesh.c at krgtech.com 5-8 years' experience as a technical analyst or data analyst, in an engineering or technology operations ...

Data Engineer II

Seattle, WA · On-site

$130K - $156K/yr

Data Engineer Location - Seattle, WA ( 5 days WFO) Duration: 6-12 Months Mandatory Skill Sets: Strong experience in Data Engineering , Python, Snowflake, SQL, Azure Hands-on expertise with ETL/data ...

Data Engineer

Bellevue, WA · On-site

$130K - $150K/yr

The Data Engineers will sit at the heart of this transformation. The engineer is the business-intelligence and data-hygiene engine of the team -- understanding the business and make sure analytics ...

Sr. Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

PitchBook, a Morningstar company, is seeking a Sr. Data Engineer to join their Product and Engineering team. The role involves building unified data technologies, designing and maintaining database ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Need a Data engineer who has the following skills Its a Individual contributor role * Design and develop scalable data pipelines using Azure Data Factory ADF to automate the extraction transformation ...

Data Engineer

Seattle, WA

$130K - $156K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Azure Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Position: Azure Data Engineer Location: Seattle, WA (Onsite) Employment Type: Full-Time We are looking for an experienced Azure Data Engineer with strong expertise in data warehousing, SQL ...

Azure Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Azure Data Engineer Location: TechM US WA Redmond Years of Experience: 7-10 Years Job Type: Full time / Contract (First priority for Full time) Job Summary: We are seeking a highly skilled Data ...

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Bellevue, WA

$128K - $154K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

The Data Engineer will build the data foundation that powers Auger's Supply Chain OS, transforming customer-shared data into a unified, production-grade ontology that supports analytics and AI ...

Azure Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Role: Azure Data Engineer Location: Bellevue, WA Duration: 6 months Azure Data Engineer Synapse; Fabric; SQL Server; Python; Azure Storage; ADF; Power Bi,Azure OpenAI Role Descriptions: Unified ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Mission Statement The AWS Marketing Data: AI Science, Analytics and Engineering (D:SE) team owns analytics, reporting and self-service tooling, data representation, machine learning models ...

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Showing results 1-20

Data Engineer information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

How much do data engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data engineer in Bothell, WA is $145,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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 Data Engineer jobs in Bothell, WA? For Data Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Bothell, WA look for? The top searched job categories for Data Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Engineer jobs? Cities near Bothell, WA with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Bothell, WA as of June 2026, with employment types broken down into 20% Full Time, and 80% Contract. Highlights an 100% In-person job distribution, with an average salary of $145,008 per year, or $69.7 per hour.
Data Engineer IV

$130K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.

TheData Engineer IVis 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-facing applications. This role combines deep data engineering expertise in the Databricks Lakehouse ecosystem with hands-on experience in designing and operatingcloud infrastructure-as-code (IaC)onAWSusingTerraform

This engineer will be responsible for ensuring data pipelines, compute infrastructure, and security architecture are aligned, reproducible, and cost-efficient. The ideal candidate will lead by example in engineering excellence, reliability, and collaboration, helping the team scale data services for research and clinical innovation in a secure, compliant, and responsive environment.


  • Lead the research, design, and development of data solutions to address analytical, research, and clinical data requirements, ensuring system scalability, security, performance and reliability.
  • Design and maintain data applications such as interfaces, ingestion pipelines, data transfer mechanisms and data partition strategies using Databricks, Delta Lake, Unity Catalog, and related cloud technologies to enable efficient access of data structures.
  • Develop prototypes and pilot new data engineering solutions to determine their viability for adoption and long-term operational support.
  • Lead the planning process around future growth scalability, and optimization of data solutions.
  • Establish and support data standards, governance practices, lineage tracking, and data quality processes.
  • Lead efforts to improve processes and meet strategic goals for data engineering, data management, infrastructure management, infrastructure automation, and platform reliability.
  • Proactively identify issues, troubleshoot and tune data solutions for scientific computing.
  • Work with internal stakeholders to correctly scope, define, implement, and deliver data platform solutions.
  • Prepare and present technical information on data solutions to all levels of stakeholders.
  • Independently organize and manage multiple complex projects, priorities, and technical initiatives simultaneously.
  • Prepare and maintain written technical design specifications, flow charts and data flow diagrams as needed for new and existing applications.

MINIMUM QUALIFICATIONS:

  • BS in Computer Science, Engineering or equivalent experience.
  • Minimum of 10 years of experience with various database platforms, reporting tools, and data structures.
  • Minimum of 10 years of experience with database design and ETL development.
  • Minimum of 10 years of experience in technical leadership.
  • Proficient in one or more scripting language.
  • In-depth knowledge and expertise of database technologies, along with solid programming, design and system analysis skills.
  • Proven track record researching, implementing and socializing technical solutions.

PREFERRED QUALIFICATIONS:

  • Advanced skills using and collaborating on code development using git/GitHub and deep familiarity with SDLC processes and implementation. 
  • CI/CD automation experience including testing and environment promotion for data pipelines. 
  • Proven experience designing and operatingDatabricks based pipelines (Delta Lake, Jobs/Workflows, DLT). 
  • Proficiency inAWSservices (S3, IAM, Lambda, EC2, networking) and pipeline troubleshooting. 
  • Strong debugging, cost-performance tuning, and incident remediation skills. 
  • Experience mentoring engineers, leading design sessions, and demonstrated ownership and reliability of data engineering implementations. 
  • Deep familiarity withDatabricks–AWS integrations, including Terraform-based cluster management and policy enforcement.
  • Experience in regulated or healthcare environments (e.g., HIPAA, FHIR, OMOP). 
  • Familiarity withdata governance, lineage, and observability tools(e.g., Great Expectations, Monte Carlo). 
  • Hands-on experience withTerraformor other IaC tools for infrastructure management. 
  • Experience withAirflow, dbt, or Dagsterfor orchestration and transformation design. 

The annual base salary range for this position is from $133,328 to $210,725, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.
Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.
Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).


We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.