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Data Engineer Jobs in Seattle, WA (NOW HIRING)

Globenet Consulting Corp

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 ...

Meta

Data Engineer, Product Analytics

Seattle, WA · On-site +1

$147K/yr

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 ...

Meta

Data Engineer, Product Analytics

Bellevue, WA · On-site +1

$147K/yr

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 ...

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 ...

Meta

Data Engineer, Product Analytics

Bellevue, WA · On-site +1

$177K/yr

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 ...

Meta

Data Engineer, Product Analytics

Redmond, WA · On-site +1

$147K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Seattle, WA

$77K - $202K/yr

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 ...

Pwc

Data Engineer - Senior Manager

Seattle, WA

$124K - $280K/yr

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 ...

Avani Technology Solutions, Inc.

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 ...

Archgroup

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 ...

Archgroup

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 ...

Amazon

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 ...

Amazon

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 ...

Salesforce, Inc.

Principal Data Engineer

Seattle, WA · On-site

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 ...

The Walt Disney Company

Sr Data Engineer

Seattle, WA

$148K - $199K/yr

Job Posting Title: Sr Data Engineer Req ID: 10153284 Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of ...

PitchBook Data

Lead Data Engineer

Seattle, WA · On-site

$116K - $153K/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 ...

Amazon

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$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 ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Seattle, WA

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 14, 2026, the average yearly pay for data engineer in Seattle, WA is $147,618.00, 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 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

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 are popular job titles related to Data Engineer jobs in Seattle, WA?

For Data Engineer jobs in Seattle, WA, the most frequently searched job titles 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:

Data Engineer jobs near you
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 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $147,618 per year, or $71 per hour.

Lead Data Engineer

Globenet Consulting Corp

Lynnwood, WA • On-site

$45 - $55/hr

Full-time

Posted 24 days ago

Job description

Benefits:
  • Competitive salary
  • Opportunity for advancement
  • 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 AES Group is a technology and engineering consulting company with more than 20 years of experience connecting organizations with skilled professionals and innovative solutions across cloud, data, AI, and engineering.

Why Join This Opportunity?
  • Lead high-impact enterprise data engineering initiatives
  • Mentor and guide a growing team of data engineers
  • Work with modern Azure Databricks and cloud data technologies
  • Support large-scale data modernization and legacy migration programs
  • Collaborate with technical leaders and business stakeholders
  • Gain exposure to Power BI, MicroStrategy, Delta Lake, Azure DevOps, and data governance frameworks
Position Overview
The AES Group Inc. is seeking an experienced Lead Data Engineer to support one of our enterprise clients. This role will lead the design, development, and optimization of scalable cloud data platforms while establishing engineering standards and mentoring team members.
The ideal candidate will have recent hands-on experience with Azure Databricks, Python, PySpark, SQL, ETL/ELT development, and modern data warehouse architecture.

Key Responsibilities
  • Design and optimize scalable data pipelines and ETL/ELT workflows using Azure Databricks, PySpark, SQL, and Delta Lake.
  • Provide technical leadership, mentoring, and guidance to data engineers.
  • Improve CI/CD pipelines using Azure DevOps, Git, Terraform, and automated deployment frameworks.
  • Establish standards for development, testing, code quality, and release management.
  • Ensure data accuracy through integration, transformation, validation, and cleansing processes.
  • Use Python and PySpark for automation, data processing, and performance optimization.
  • Support migrations from legacy environments to modern cloud data platforms.
  • Translate business and technical requirements into scalable data solutions.
  • Apply governance and security practices using Unity Catalog, Azure RBAC, managed identities, and access controls.
  • Support Power BI reporting environments and provide exposure to MicroStrategy.
  • Participate in on-call support and resolve production issues when required.
Required Qualifications
  • Bachelor’s degree in Computer Science, Information Systems, Information Technology, or a related field, or equivalent experience.
  • At least 3 years of hands-on Azure Databricks experience.
  • Strong knowledge of current Azure Databricks features and capabilities.
  • At least 5 years of data warehouse analysis, architecture, and design experience.
  • Strong knowledge of dimensional modeling, operational data stores, and enterprise integration.
  • At least 5 years of ETL/ELT development using Python, PySpark, and SQL.
  • Experience with Terraform, Git, CI/CD pipelines, and Azure DevOps.
  • Demonstrated experience leading and mentoring data engineering teams.
  • Strong communication, problem-solving, and stakeholder-management skills.
Preferred Qualifications
  • Databricks Data Engineer Associate or Professional certification.
  • Experience with Unity Catalog, Azure RBAC, managed identities, and data governance.
  • Familiarity with Power BI and MicroStrategy architecture.
  • Experience in regulated, quality-focused, or compliance-driven environments.
Ready to make an impact? Apply now and join us on our journey!