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Data Engineer Jobs in Edmonds, WA (NOW HIRING)

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 ...

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 ...

Auger

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

The Data Engineer will build the data foundation that powers Auger's Supply Chain OS, transforming customer-shared data into a unified, production-grade ontology that supports analytics and AI ...

Purple Drive

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 ...

Yantran LLC

Azure Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Azure Data Engineer Location: TechM US WA Redmond Years of Experience: 7-10 Years Job Type: Full time / Contract (First priority for Full time) Job Summary: We are seeking a highly skilled Data ...

Purple Drive

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 ...

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 ...

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 ...

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 ...

The Walt Disney Company

Sr Data Engineer

Seattle, WA

$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 ...

IT Labs

Lead Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform, building scalable data pipelines and robust Snowflake-based solutions. Working closely with cross ...

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 ...

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 ...

Pwc

Data Engineer - Manager

Seattle, WA

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Adobe

Sr. Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data integrations using AWS technology stack as part of the team's Data as a Service portfolio for Adobe ...

Yantran LLC

Azure Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Azure Data Engineer Location - Redmond, WA (Open for WFM - Need to work in PST time zone) Primary Skills: * Azure Data Factory (ADF), Spark, Scala * Azure Services * Microsoft ecosystem experience ...

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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

Futran Tech Solutions Pvt. Ltd.

Bellevue, WA • On-site

$129K - $155K/yr

Full-time

Posted 20 days ago

Job description

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 and loading ETL of data from various sources into Azurebased data platforms
  • Leverage Kusto Azure Data Explorer for interactive data exploration and analysis to support business intelligence reporting and visualization needs
  • Create and maintain interactive dashboards and reports using Power BI and Grafana providing actionable insights to business stakeholder
  • Ensure accurate extraction and transformation of data from various relational and nonrelational sources
  • Ensure data quality integrity and security across all platforms adhering to best practices and company standards for data governance
  • Troubleshoot and resolve performance issues related to ADF pipelines Kusto functions and other data systems
  • Continuously optimize data systems for better scalability and performance
  • Work closely with crossfunctional teams including business analysts data scientists and product teams to understand data requirements and deliver tailored data solutions

Required Skills and Qualifications
  • Strong experience with Azure Data Factory ADF for ETL processes and data pipeline orchestration
  • Proficient in Kusto Azure Data Explorer for querying data exploration and analysis
  • Handson experience with Power BI and Grafana for creating and maintaining interactive dashboards and reports
  • Strong understanding of data quality integrity and security practices
  • Familiarity with Cosmos and other Azure data services
  • Indepth knowledge of SQL including query optimization writing stored procedures and creating functions
  • Ability to troubleshoot performance issues and optimize the performance of data pipelines and databases
  • Strong problemsolving and analytical skills with an eye for detail and a commitment to data accuracy
  • Excellent communication and collaboration skills with the ability to work independently

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