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Data Engineer Jobs in Edmonds, WA (NOW HIRING)

Microsoft

Data Engineer

Redmond, WA · On-site

$119K - $234K/yr

The Data Engineer will identify opportunities for machine learning and predictive analysis, and communicate effectively to influence data-driven decisions across the organization. The ideal candidate ...

Staffingine LLC

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 ...

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 ...

Dlapiper

Data Engineer

Seattle, WA · On-site

$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 ...

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 ...

Sono Bello

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 ...

Staffingine LLC

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 ...

Shannon & Wilson Inc

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 ...

PitchBook Data

Lead Data Engineer

Seattle, WA

$130K - $156K/yr

Act as a technical mentor and coach a team of data engineers with diverse experience levels * Uplevel the team's capabilities in SQL, Python, data modeling, and system design * Establish coding ...

Shannon & Wilson Inc

Data Engineer

Seattle, WA

$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 ...

Sono Bello

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 ...

Staffingine LLC

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 ...

Shannon & Wilson, Inc.

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 ...

Vibotek LLC

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 ...

Sono Bello

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 ...

Navtech, Inc.

"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 ...

Goli Tech

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 ...

eTeam

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

Capgemini US LLC is seeking a mid-level Data Engineer & DBA to join their data platform team. The role involves building and maintaining scalable data pipelines, ensuring database reliability and ...

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 ...

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)

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Edmonds, WA

Data Engineer information

See Edmonds, WA salary details

$48.9K

$142.4K

$194.9K

How much do data engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data engineer in Edmonds, WA is $142,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $151,000.00 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 Edmonds, WA? The most popular types of Data Engineer jobs in Edmonds, WA are:
What are popular job titles related to Data Engineer jobs in Edmonds, WA? For Data Engineer jobs in Edmonds, WA, the most frequently searched job titles are:
What cities near Edmonds, WA are hiring for Data Engineer jobs? Cities near Edmonds, WA with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Edmonds, WA as of June 2026, with employment types broken down into 2% As Needed, 86% Full Time, 9% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $142,445 per year, or $68.5 per hour.
Data Engineer

Data Engineer

Microsoft

Redmond, WA • On-site

$119K - $234K/yr

Full-time

Posted 13 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

50th of 192 rated software companies

Job description

Overview
Microsoft's mission is to empower every person and every organization on the planet to achieve more. Our success is grounded in a culture of respect, integrity, accountability, and a growth mindset-values that shape how we work, innovate, and collaborate every day.
Cloud Operations & Innovation (CO+I) is the engine behind Microsoft's cloud. We operate a global portfolio of more than 400 datacenters and millions of servers, supporting digital services for over one billion customers and twenty million businesses across more than ninety countries. This infrastructure is designed, operated, and continuously improved by teams of deep technical experts who safeguard reliability, trust, and scale.
IT Process and Standards (ITPS), a team within CO+I Core Datacenter Services (CDS), envisions a unified, automated approach to managing IT operations processes and standards across Microsoft's global datacenter fleet. This ensures the ability to maintain and restore IT capacity efficiently and effectively to meet cloud service availability targets at scale. ITPS defines and evolves processes that underpin datacenter IT operations, including breakfix workflows, service transition, planning and scheduling, and IT service management orchestration. By equipping operations teams with the right tools and procedures, ITPS supports innovation and growth across offerings such as Azure AI, high-performance computing clusters, and mission-critical workloads.
We are seeking a highly skilled Data Engineer to join our team within ITPS. This role is critical for formulating business problems, exploring and analyzing data, and designing and testing predictive and forecasting models. The Data Engineer will identify opportunities for machine learning and predictive analysis, and communicate effectively to influence data-driven decisions across the organization. The ideal candidate will have strong technical expertise in advanced analytics, machine learning, and software development, as well as excellent business acumen and collaborative communication skills.
Responsibilities
  • Formulate business problems and translate them into actionable data science projects.
  • Explore, analyze, and centralize data to supply meaningful insights and create a single version of the truth.
  • Design, prototype, implement, and test descriptive, predictive, forecasting, and causal inference models.
  • Identify and action IT operations return to capacity success improvement; perform defect analysis, quantify opportunities, and set targets.
  • Partner and collaborate with teams to identify opportunities for machine learning and predictive analysis.
  • Build and deploy visualizations that deliver insights to decision-makers at all organizational levels.
  • Communicate effectively with technical and non-technical audiences, contributing modeling expertise as a team player.
  • Influence across disciplines to ensure data-driven decisions and solve critical problems for customers.Mentor others and foster a culture of continuous learning.
  • Stay current with advances in the data science industry.

Qualifications
Required Qualifications
  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND
  • 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.

Preferred Qualifications:
  • Master's degree in computer science, Math, Software Engineering, Computer Engineering, or related field AND
  • 6+ years' experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND
  • 8+ years' experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
  • 2+ years' experience with data governance, data compliance and/or data security.

Background Check Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
#COICareers | #EPCCareers | #DCDCareers
Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800.00 - $234,700.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200.00 - $261,000.00 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media

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