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Data Engineer Jobs in Edmonds, WA (NOW HIRING)

CyberProof

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

They are seeking an Associate Data Engineer who will work hands-on in the HR Analytics data engineering vertical, executing solution designs and building data models and visualizations under guidance.

Fred Hutchinson Cancer Center

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

The Data Engineer IV is 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 ...

Weekday AI

Data Engineer - Finance

Bellevue, WA · On-site

$60 - $85/hr

This role is for one of our clients Compensation: $60 - $85 per hour A rapidly growing AI organization is seeking a Data Engineer - Finance to build and maintain the data infrastructure that powers ...

Protingent

Principal Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Principal Data Engineer Position Description: Protingent Staffing has an exciting direct-hire opportunity for a Principal Data Engineer Job Responsibilities: * Lead the implementation of Snowflake ...

Aquent

Data Engineer

Redmond, WA · On-site

$80 - $85/hr

Demonstrated ability to integrate enterprise data sources and develop SQL queries, ETL processes, and data pipelines. * Proficiency in scripting/programming languages such as Python, PowerShell, or ...

krg technology inc

Data Engineer

Redmond, WA · On-site

$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 II

Bellevue, WA · On-site

$144K - $180K/yr

Data Engineer II Bellevue, WA -Ads - Full time - R30286 What you'll do: * Own the design, development, and maintenance of our end-to end data pipelines. * Tackle complex data issues to provide ...

Vibotek LLC

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Vibotek LLC is a technology company seeking a Data Engineer. The role involves ingesting and processing data from various sources and building data pipelines to deliver curated datasets for AI and ...

Chewy

Data Engineer II

Bellevue, WA · On-site +1

$144K - $180K/yr

Data Engineer II Bellevue, WA -Ads - Full time - R30286 What you'll do: * Own the design, development, and maintenance of our end-to end data pipelines. * Tackle complex data issues to provide ...

Bespoke Labs

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 ...

Bespoke Labs

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 ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA · On-site

$130K - $156K/yr

Lead Data Engineer \\n Primary Skills * AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions Specialization * Azure Data Engineering Advanced: Senior Data Engineer Job requirements * Data ...

Team Red Dog

AI Data Engineer 3

Redmond, WA · On-site

$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 ...

Team Red Dog

AI Data Engineer 3

Redmond, WA · On-site

$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 ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA · On-site

$130K - $156K/yr

Lead Data Engineer Primary Skills * AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions Specialization * Azure Data Engineering Advanced: Senior Data Engineer Job requirements * Data Engineer:

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Showing results 21-40

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 Aug 10, 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.

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 is a data engineer?

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
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What job categories do people searching Data Engineer jobs in Edmonds, WA look for? The top searched job categories for Data Engineer jobs in Edmonds, WA 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 August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $142,445 per year, or $68.5 per hour.

Associate Data Engineer

CyberProof

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
CyberProof is a mission-driven company that focuses on transforming lives through technology. They are seeking an Associate Data Engineer who will work hands-on in the HR Analytics data engineering vertical, executing solution designs and building data models and visualizations under guidance.
Responsibilities:
• Execute assigned components of solution designs handed off by Senior and Data Engineers, delivering production-grade code under senior engineer guidance.
• Land source data into the team's unified ingestion framework using the patterns specified in the design.
• Implement assigned data models and transformation logic in Snowflake (including Iceberg tables) and Databricks (Delta Lake, Unity Catalog) per the design.
• Apply medallion (bronze, silver, gold) architecture and the team's engineering standards to all work, including naming conventions, documentation, and code review practices.
• Build assigned components of the semantic layer in Microsoft Fabric (Fabric IQ, OneLake) per the design specifications.
• Build assigned Power BI visualizations and reports following the design specifications and the team's BI standards.
• Implement unit tests, data quality checks, and reconciliation for assigned work.
Qualifications:
Required:
• Graduation Year: 2024, 2025 or 2026
• GPA: 3.5
• Experience: 1+ years
• Bachelor's degree in Computer Science, Software Engineering, Information Management, or equivalent experience in field plus 1+ years of related work experience, OR equivalent demonstrated experience through internships, bootcamps, or self-directed project work.
• Must be located in the United States.
• 1+ years of hands-on data engineering or software engineering experience, including internships and academic project work that demonstrate production-quality engineering habits.
• Working proficiency in SQL and Python.
• Exposure to Spark (PySpark or Spark SQL) for distributed data transformation, or strong willingness and demonstrated ability to learn it quickly.
• Exposure to cloud data platforms Databricks, Snowflake, or comparable with a willingness to develop hands-on depth.
• Familiarity with at least one BI tool (Power BI preferred, Tableau or similar acceptable).
• Understanding of fundamental data engineering concepts data modeling, ETL/ELT, data quality, source-to-target mapping.
• Familiarity with Git, code review practices, and basic CI/CD concepts.
• Good communication skills able to ask clarifying questions, communicate progress clearly, and learn from feedback.
• Strong problem-solving instincts, curiosity, and the discipline to deliver well-defined work to a high standard.
• Eagerness to learn the full vertical from ingestion through visualization, and to take on broader ownership over time.
Preferred:
• Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale.
• Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake, or Power BI.
• Exposure to Iceberg tables or other modern open table formats.
• Exposure to HR data domains talent acquisition, workforce analytics, compensation, learning, performance, or people analytics.
• Familiarity with Workday, ServiceNow HR, or comparable HR systems of record.
• Exposure to streaming technologies (Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming).
• Exposure to AI/ML pipelines or building data products that support ML workloads.
• Azure certifications (Azure Fundamentals, Data Engineer Associate) or working toward them.
• Familiarity with data privacy concepts (GDPR, CCPA) and HR data handling considerations.
Company:
CyberProof is a security services company that intelligently manages your incident detection and response requirements. It is a sub-organization of UST. Founded in 2017, the company is headquartered in Aliso Viejo, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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