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Data Engineer Jobs in Seattle, WA (NOW HIRING)

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 ...

Lead Data Engineer

Lynnwood, WA · On-site

$45 - $55/hr

Training & development Lead Data Engineer - Azure Databricks Location: Charlotte, North Carolina 28273 Work Arrangement: Onsite, 5 days per week Let's Create Our Future Together at The AES Group The ...

Data Engineer, SPTC

Seattle, WA · On-site

$130K - $156K/yr

We are looking for an exceptional data engineer to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel Sellers' trust in Amazon is our top priority ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Data Engineer- Seattle WA

Seattle, WA · On-site

$130K - $156K/yr

Georgia IT, Inc. is seeking a skilled Data Engineer with strong experience in NoSQL databases to join their team in Seattle, WA. The role involves designing, developing, and maintaining scalable data ...

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 ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

We are looking for a Data Engineer to join the Infrastructure Automation team, responsible for delivering software that powers our infrastructure and supports analytic technologies for customer data ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

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 ...

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 ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Big Data Engineer

Renton, WA · On-site

$63 - $83.25/hr

Big Data Engineer Location: Renton, Washington Duration: 6 Months Top Three Skills: * 5-years in SQL, SQL Server, Oracle, JDBC * 5-years in Hadoop, HDFS, MapReduce, YARN * 5-years in Sqoop, Oozie ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Data Engineer, Amazon Fuse

Seattle, WA

$130K - $156K/yr

The Fuse Data Analytics (DA) team is looking for a Data Engineer to influence Fuse's decisions and direction using data insights. The ideal candidate is data-curious and possesses a strong analytical ...

Data Engineer, Amazon Fuse

Seattle, WA

$130K - $156K/yr

The Fuse Data Analytics (DA) team is looking for a Data Engineer to influence Fuse's decisions and direction using data insights. The ideal candidate is data-curious and possesses a strong analytical ...

Role Description As a Principal Data Engineer for AgentExchange, you will serve as the chief data architect and technical authority powering our next-generation product analytics and AI platform. In ...

Showing results 41-60

Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data engineer in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Seattle, WA?

The most popular types of Data Engineer jobs in Seattle, WA are:

What job categories do people searching Data Engineer jobs in Seattle, WA look for?

The top searched job categories for Data Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Data Engineer jobs?

Cities near Seattle, WA with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

AI Data Engineer 3

Team Red Dog

Redmond, WA • On-site

$128K - $154K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Team Red Dog is building a pipeline of qualified candidates for an anticipated AI Data Engineer 3 opening with one of our long-term enterprise technology clients. 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 operations. This role will help design and optimize scalable data platforms that power reporting, analytics, automation, and enterprise decision-making across complex environments. The ideal candidate will bring strong expertise in SQL, modern data integration, and cloud data engineering while collaborating cross-functionally with engineers, analysts, and business stakeholders to deliver reliable, analytics-ready solutions.
Top Required Skills (Must Haves):
  1. SQL and Relational Database Development - Strong experience designing, optimizing, and maintaining relational databases, schemas, and enterprise-scale data models to support analytics and reporting solutions.
  2. ETL/ELT Pipeline Development and Data Integration - Proven ability to build, automate, and support scalable ETL/ELT workflows that ingest, transform, validate, and deliver analytics-ready datasets across multiple enterprise systems.
  3. Python or Shell Scripting - Hands-on scripting experience used for automation, workflow orchestration, data transformation, monitoring, and troubleshooting of enterprise data pipelines.
  4. Cloud Data Platforms and Enterprise Data Engineering - Experience working with modern cloud-based data environments and enterprise data infrastructure to improve scalability, reliability, governance, and accessibility.

Opportunity Overview:
This role offers the opportunity to work on large-scale enterprise data initiatives that support analytics, reporting, AI/ML programs, and business intelligence across a modern technology environment. The AI Data Engineer will play a key role in modernizing data infrastructure, improving data quality and accessibility, and building scalable solutions that enable business teams to make informed, data-driven decisions. This position provides exposure to enterprise cloud technologies, cross-functional collaboration, and impactful data engineering projects supporting long-term innovation initiatives.
How you will make an impact:
Collaborate with technical teams, analysts, and business stakeholders to gather requirements and support enterprise data initiatives
Design, develop, automate, and maintain scalable ETL/ELT pipelines and enterprise data workflows
Build and optimize logical and physical database structures, schemas, and data models
Support ingestion, transformation, cleansing, and validation of structured and semi-structured data from multiple sources
Troubleshoot and resolve data quality, pipeline performance, and integration issues across enterprise systems
Modify and enhance existing databases, ETL processes, and data management systems to improve scalability and reliability
Perform testing, validation, and monitoring of data pipelines and database systems to ensure data accuracy and integrity
Create and maintain technical documentation related to data pipelines, database objects, workflows, and processes
Partner with data analysts, engineers, and data scientists to provide clean, reliable, and analytics-ready datasets
Support implementation of best practices for data governance, security, and process optimization
The expertise you bring:
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related technical field required
5-7 years of experience in data engineering, ETL development, database engineering, analytics engineering, or related technical work
Strong experience with relational databases and database technologies
Experience building and maintaining ETL/ELT pipelines and enterprise data integration workflows
Proficiency in SQL and at least one scripting/programming language such as Python or Shell scripting
Experience working with cloud-based data platforms and modern data environments preferred
Strong troubleshooting, analytical, and problem-solving abilities
Strong written and verbal communication skills with the ability to collaborate cross-functionally
Experience supporting enterprise-scale databases, cloud platforms, and data integration tools preferred
Demonstrated success supporting data-driven business initiatives and analytics solutions
What makes a candidate highly successful in this role:
Successful candidates are highly analytical, proactive, and capable of managing complex enterprise data workflows with minimal oversight. They bring strong technical depth in SQL, ETL/ELT development, cloud data platforms, and scripting while also demonstrating excellent communication and collaboration skills across technical and business teams. Candidates who stand out typically have experience improving data quality, optimizing large-scale data systems, automating processes, and delivering scalable analytics-ready solutions in fast-paced enterprise environments.
Why Work with Team Red Dog?
At Team Red Dog, people are at the heart of everything we do. Our commitment to personalized service and our deep experience in matching talented professionals with meaningful roles at some of the world's most inspiring companies is what sets us apart. We take the time to understand your unique skills, strengths, and passions-because we believe your career should reflect who you are.
Whether you're looking to grow, pivot, or simply find a place where your work truly matters, we offer opportunities that empower you to make a positive impact. With excellent benefits, a supportive team, and a role where you can thrive while doing what you love, we're here to help you take the next step with confidence. Join us-and discover what it means to be genuinely valued in your career.
Generous benefits package for qualified employees includes:
Health insurance (medical, dental, vision, and life)
Employer-matched 401K plan
Paid time off
Paid holidays
Estimated Start Date:
June 2026 (Estimate)
Location:
Fully Remote (Preferred PST or EST)
Job #: 2523
Job Type and Estimated Duration:
W2 contract opportunity through June 30, 2027 expected - subject to performance, budget and client discretion.
Rate:
$65/hr - $75/hr
Team Red Dog is committed to providing equal opportunities to everyone, regardless of race, ethnicity, gender, age, religion, sexual orientation, disability, or any other characteristic. If you need accommodation during the recruitment process, reach out to , and we will work to ensure an accessible experience. We strictly adhere to federal, state, and local laws to maintain a workplace free from discrimination and harassment.
We offer competitive compensation aligned with U.S. industry standards, and our final offer will reflect the candidate's location, job-specific skills, experience, and knowledge.
All applicants must be authorized to work in the U.S. without the need for sponsorship.
Team Red Dog is an E-Verify employer.
Employment is contingent upon the successful completion of a reference and background check.
Please no solicitations from C2C or recruiting firms.