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Data Engineer Jobs in Bothell, WA (NOW HIRING)

Purple Drive Technologies

Lead Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Lead Data Engineer Location: Seattle, WA Duration: 6 months Responsibilities: • Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources ...

MacDonald-Miller Facility Solutions

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Requirements Data Engineer This is where you come in. MacDonald-Miller is looking for a Data Engineer to join our IT team and help build the data platform that powers our business. This hands-on role ...

Purple Drive Technologies

Databricks Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

POSITION SUMMARY We are seeking an experienced Data Engineer specializing in Databricks platform for a 6-month contract position based in Seattle, WA. This role focuses on designing, building, and ...

Futran Tech Solutions Pvt. Ltd.

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 ...

Purple Drive Technologies

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 ...

Purple Drive Technologies

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 ...

Accenture

Data Engineer

Seattle, WA · On-site

$75 - $85/hr

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities will include ...

New

Prophecy Technologies

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

The Loss Prevention Tech team as a Data Engineer is an engineer with deep expertise in designing, building, and maintaining scalable data pipelines and analytics platforms. The role involves working ...

Accenture

Data Engineer

Redmond, WA · On-site

$75 - $85/hr

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities will include ...

New

Amazon

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 ...

MacDonald-Miller Facility Solutions

Data Engineer

Seattle, WA · On-site +1

$130K - $156K/yr

MacDonald-Miller is looking for a Data Engineer to join our IT team and help build the data platform that powers our business. This hands-on role focuses on three core areas: * Developing ...

Amazon

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 ...

Accenture

Data Engineer

Kirkland, WA

$75 - $85/hr

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities will include ...

New

Amazon

Data Engineer

Seattle, WA

$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 ...

The Walt Disney Company

Sr Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Job Posting Title: Sr Data Engineer Req ID: 10147781 Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN ...

PitchBook Data

Sr. Data Engineer

Seattle, WA

$140K - $170K/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 ...

Team Red Dog

AI Data Engineer 3

Redmond, WA

$128K - $154K/yr

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

Akraya Inc.

Data Engineer III

Seattle, WA · On-site

$130K - $156K/yr

Amazon.com is looking for a Data Engineer to join the Infrastructure Automation team. Amazon.com has over 70 million customers, and developers all over the world rely on our storage, compute, and ...

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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.

Lead Data Engineer

Purple Drive Technologies

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Posted 27 days ago

Job description

Overview:
Role: Lead Data Engineer
Location: Seattle, WA
Duration: 6 months
Responsibilities:
• Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files.
• Develop and support data pipelines within a Cloud Data Platform, such as Databricks
• Build data models that reflect domain expertise, meet current business needs, and will remain flexible as strategy evolves
• Monitor and optimize Databricks cluster performance, ensuring cost-effective scaling and resource utilization
• Demonstrates ability to communicate technical concepts to non-technical audiences both in written and verbal form.
• Demonstrates strong understanding with coding and programming concepts to build data pipelines (e.g. data transformation, data quality, data integration, etc.).
• Demonstrates strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).
• Implement and maintain Delta Lake for optimized data storage, ensuring data reliability, performance, and versioning
• Automate CI/CD pipelines for data workflows using Azure DevOps
• Collaborate with cross-functional teams to support data governance using Databricks Unity Catalog
Qualifications:
• 7+ years of experience in data engineering or a related field
• Expertise with programming languages such as Python/PySpark, SQL, or Scala
• Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture
• Hands-on experience with Databricks Cloud Data Platforms Required
• Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines) Required

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