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Data Engineer Jobs in Bothell, WA (NOW HIRING)

PitchBook Data

Sr. Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Stay updated with the latest data engineering technologies and trends and share your insights with the team * Support the vision and values of the company through role modeling and encouraging ...

Zortech Solutions

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 ...

Redapt

Data Engineer

Woodinville, WA · On-site

$115K - $140K/yr

Data Engineer Location: Woodinville, WA Details: Able to come 4 days onsite RedaptInc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud ...

Weyerhauser Co

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 ...

Weyerhaeuser Company

Data Engineer

Seattle, WA

$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 ...

Noblesoft Technologies

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)

Visa

Data Engineer

Bellevue, WA · Hybrid

$129K - $155K/yr

As a Data Engineer on the GenAI Platforms team, you will help architect and scale the data infrastructure that powers enterprise AI systems at global scale. This is not a traditional data engineering ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Knowledge of Azure Data Factory ADLS * Individuals with strong technical background in SQL SQL Server data engineering BI Kusto Data Analysis and strong knowledge of Data Warehousing Concepts

1 point system

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 ...

CGI Inc.

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Data Engineer Category: Software Development/ Engineering Main location: United States, Washington, Seattle Position ID:J0426-0552 Employment Type: Full Time Position Description: CGI Federal is ...

Purple Drive Technologies

Data engineer

Bellevue, WA · On-site

$129K - $155K/yr

Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data, data pipeline, and technology capabilities ...

Purple Drive Technologies

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data, data pipeline, and technology capabilities

Prophecy Technologies

Data Engineer - Databricks

Seattle, WA · On-site

$130K - $156K/yr

The Senior Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and cloud-based data solutions. This role focuses on developing robust ETL/ELT processes ...

Deloitte

Databricks Data Engineer

Seattle, WA

$130K - $156K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Apple

Software Data Engineer

Seattle, WA

$139K - $258K/yr

We are looking for a Software Data Engineer to join our team and contribute to building modern data platform capabilities. In this role, you will work on systems that enable data engineers across ...

Chewy

Data Engineer III

Bellevue, WA

$129K - $207K/yr

The Chewy Ads team is looking for Data Engineer III to help with integrating and processing data from various streams to influence product strategy, data science research and machine learning ...

Futran Tech Solutions Pvt. Ltd.

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 ...

krg technology inc

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 ...

Chewy

Data Engineer III

Bellevue, WA · On-site

$129K - $207K/yr

The Chewy Ads team is looking for Data Engineer III to help with integrating and processing data from various streams to influence product strategy, data science research and machine learning ...

Brook Inc.

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 ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Bothell, WA

Data Engineer information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

How much do data engineer jobs pay per year?

As of Jun 11, 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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
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:
Data Engineer jobs near you
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.
Sr. Data Engineer

Sr. Data Engineer

PitchBook Data

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Medical, Life, Retirement

Posted yesterday

Job description

At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role:
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!
Primary Job Responsibilities:
  • Expert at building unified data technologies to support advanced and automated business analytics
  • Design, develop, document, and maintain database and reporting structures used to compile insights
  • Define, develop, and review extract, load, and transform (ELT) processes and data modeling solutions
  • Consistently evolve data processes and techniques following industry best practices
  • Establish and help define reports and dashboards used to translate business data into insights, identify and prioritize operational improvement opportunities, and measure business KPIs against objectives
  • Contribute to the ongoing improvement of quality assurance standards and procedures
  • Mentor and guide less experienced data engineers, contributing to their professional development
  • Stay updated with the latest data engineering technologies and trends and share your insights with the team
  • Support the vision and values of the company through role modeling and encouraging desired behaviors
  • Participate in various company initiatives and projects as requested

Skills and Qualifications:
  • Bachelor's degree in a related field (Computer Science, Engineering, etc.)
  • 5+ years of experience in data engineering roles, including creating and maintaining data pipelines, data modeling, and data architecture
  • 5+ years of experience in data cleansing, governance, and quality/integrity
  • 5+ years of experience in advanced SQL, including expert-level skills in querying large datasets from multiple sources and developing automated reporting
  • 5+ years of experience in Python, with skills for diverse components of data pipelines, including scripting, data manipulation, custom extract, transform and loads, and statistical/regression analysis
  • Expertise in extract, transform, and load (ETL) and extract, load, transform (ELT) processes and pipelines, platforms (e.g. Airflow), and distributed messaging (e.g. Kafka)
  • Experience with tools that capture and control data modeling change management (e.g. SQLMesh)
  • Experience building data alerting & notifications (e.g. on deviations, thresholds, etc.)
  • Experience building and managing tools for data observability and documentation (e.g. DataLab)
  • Proficient in data storage solutions, data warehousing, and cloud-based data platforms (e.g. Snowflake)
  • Proficient in deploying data pipelines to a cloud-native, containerized deployment/delivery environment (e.g. Kubernetes)
  • Knowledge and applicable working experience establishing and ensuring data governance, data quality, and compliance standards
  • Exceptional problem-solving skills and a track record of designing and optimizing data pipelines
  • Excellent communication and collaboration skills with the ability to engage with non-technical stakeholders
  • Experience working with enterprise technologies (CRM, ERP, Marketing Automation Platforms, Financial Systems, etc.) is a plus
  • Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:
Physical Health
  • Comprehensive health benefits
  • Additional medical wellness incentives
  • STD, LTD, AD&D, and life insurance

Emotional Health
  • Paid sabbatical program after four years
  • Paid family and paternity leave
  • Annual educational stipend
  • Ability to apply for tuition reimbursement
  • CFA exam stipend
  • Robust training programs on industry and soft skills
  • Employee assistance program
  • Generous allotment of vacation days, sick days, and volunteer days

Social Health
  • Matching gifts program
  • Employee resource groups
  • Subsidized emergency childcare
  • Dependent Care FSA
  • Company-wide events
  • Employee referral bonus program
  • Quarterly team building events

Financial Health
  • 401k match
  • Shared ownership employee stock program
  • Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
  • Annual base salary: $140,000-$170,000
  • Target annual bonus percentage: 10%

Working Conditions:
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
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