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Data Engineer Jobs in Bothell, WA (NOW HIRING)

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Job Location: Bellevue - Washington Job Type: Contract to Hire * Design build and maintain robust scalable and efficient data pipelines using tools such as Azure Data Factory Databricks ...

Data Engineer

Seattle, WA

$130K - $156K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

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 ...

Data Engineer

Bremerton, WA · On-site

$122K - $147K/yr

They are seeking an experienced Data Engineer to help clients organize and analyze data from various sources to support critical missions. The role involves developing data pipelines and platforms ...

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Data Engineer Job Location: Redmond WA Job Type: Contract * Design, develop, and maintain scalable data pipelines using Azure Data Factory, PySpark, and Databricks. * Work with large-scale data lake ...

Data Engineer

Bremerton, WA · On-site

$77K - $176K/yr

Share Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

Data Engineer

Bellevue, WA · Hybrid

$125K - $140K/yr

SUMMARY The Data Engineer owns the end-to-end data platform, building high-scale pipelines, optimizing cloud resources, and ensuring that analysts and executives have trusted, timely data. You will ...

Data Engineer

Bremerton, WA · On-site

$77K - $176K/yr

Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

Bremerton, WA · On-site

$77K - $176K/yr

Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

R0239368 Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today ...

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our ...

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our ...

Data Engineer

Bellevue, WA · On-site

$125K - $140K/yr

SUMMARY The Data Engineer owns the end-to-end data platform, building high-scale pipelines, optimizing cloud resources, and ensuring that analysts and executives have trusted, timely data. You will ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with PySpark * Knowledge of Big Data pipelines, Data Engineering * Working Knowledge of the MSBI stack on ...

Data Engineer

Seattle, WA

$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

Bellevue, WA · On-site

$128K - $154K/yr

Data Engineer Location: BELLEVUE, WA Primary Responsibilities • Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine ...

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our ...

Data Engineer

Bellevue, WA · Hybrid

$125K - $140K/yr

SUMMARY The Data Engineer owns the end-to-end data platform, building high-scale pipelines, optimizing cloud resources, and ensuring that analysts and executives have trusted, timely data. You will ...

"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

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 ...

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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 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.
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

Data Engineer

Staffingine LLC

Bellevue, WA • On-site

$129K - $155K/yr

Contractor

Posted 3 days ago


Job description

Job Title: Data Engineer
Job Location: Bellevue - Washington
Job Type: Contract to Hire

Job Description:

  • Design build and maintain robust scalable and efficient data pipelines using tools such as Azure Data Factory Databricks and Apache Spark
  • Develop and optimize ETLELT workflows to ingest transform and store structured and unstructured data from various sources
  • Collaborate with data scientists analysts and business stakeholders to understand data requirements and deliver highquality datasets
  • Implement data governance quality and security best practices across all data engineering processes
  • Lead the integration of cloudnative data services eg Azure Synapse ADLS Azure SQL Cosmos DB into enterprise data platforms
  • Monitor and troubleshoot data pipelines and infrastructure to ensure reliability and performance
  • Mentor junior engineers and contribute to architectural decisions and code reviews
  • Participate in Agile ceremonies and contribute to sprint planning and delivery

Required Skills:

  • Strong programming skills in Python SQL and Spark
  • Handson experience with Azure data services ADF Synapse Databricks ADLS and Azure DevOps
  • Deep understanding of data modeling warehousing and distributed computing
  • Experience with CICD pipelines and version control systems Git GitHub Actions
  • Familiarity with data lakehouse architecture and modern data stack principles
  • Strong problemsolving and communication skills