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Data Engineer Jobs in Federal Way, WA (NOW HIRING)

Brillio

Lead Data Engineer - R01568940

Seattle, WA · On-site

$125K/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 ...

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:

Amazon

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 ...

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 ...

Pwc

Data Engineer - Senior Associate

Seattle, WA · On-site

$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

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 ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Federal Way, WA

Data Engineer information

See Federal Way, WA salary details

$49.7K

$144.9K

$198.2K

How much do data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer in Federal Way, WA is $144,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,900.00 and $153,600.00 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.
More about Data Engineer jobs

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

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

What are popular job titles related to Data Engineer jobs in Federal Way, WA?

For Data Engineer jobs in Federal Way, WA, the most frequently searched job titles are:

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Federal Way, WA as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $144,859 per year, or $69.6 per hour.

Snowflake Data Engineer / Data Migration Engineer

Conch Technologies Inc

Tukwila, WA • On-site

$129K - $155K/yr

Contractor

Re-posted 8 days ago

Job description

Snowflake Data Engineer / Data Migration Engineer

Location: Tukwila, WA (Hybrid)
Duration: 6+ Months
 

Note: w2 only No C2CJob Summary

We are seeking an experienced Snowflake Data Engineer / Data Migration Engineer to support the Finance Data Mart team in a large-scale migration initiative. The ideal candidate will have strong expertise in Snowflake, Azure Data Factory, SQL Server migrations, ETL development, and Power BI semantic models. This role requires hands-on experience with modern data engineering practices, CI/CD automation, and cloud-based analytics solutions.

Required Skills Snowflake Development
  • Strong hands-on experience with Snowflake development and administration.
  • Experience converting SQL Server T-SQL stored procedures and processes into Snowflake.
  • Expertise in translating SQL Server DDL objects to Snowflake.
  • Experience designing and developing migration frameworks for moving data from SQL Server to Snowflake.
  • Strong knowledge of data validation, reconciliation, and migration testing.
  • Experience optimizing Snowflake performance and query tuning.
 ETL & Data Integration
  • Experience converting SSIS packages into Azure Data Factory (ADF) pipelines.
  • Strong knowledge of Azure Data Factory setup and configuration for Development, Pre-Production, and Production environments.
  • Experience designing scalable and reusable ETL frameworks.
  • Knowledge of Apache Iceberg storage technology.
 Azure DevOps & CI/CD
  • Experience creating and maintaining Azure DevOps CI/CD release pipelines.
  • Experience automating deployments for data engineering solutions.
 Source Control
  • Strong experience with GitHub.
  • Knowledge of branching strategies, repository management, and deployment workflows.
  • Experience improving source control and DevOps processes.
 Analytics & Reporting
  • Experience developing and maintaining SSAS Cubes using Visual Studio.
  • Experience migrating SSAS Cubes or Semantic Models to Power BI Semantic Models.
  • Ability to validate migrated models and optimize performance.
 AI-Assisted Development
  • Experience using AI-powered development tools to improve productivity while maintaining coding standards.
  • Experience with Snowflake AI Migration (AIM) tools is a plus.
 Required Qualifications
  • Strong SQL Server and Snowflake development experience.
  • Experience with Azure Data Factory and cloud-based ETL development.
  • Strong understanding of data warehouse design and migration methodologies.
  • Experience with Azure DevOps, GitHub, and CI/CD best practices.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong communication and collaboration skills.
 Preferred Qualifications
  • Experience with Apache Iceberg.
  • Experience with Power BI Semantic Models.
  • Familiarity with AI-assisted software development tools.
  • Experience working on enterprise-scale cloud migration projects.