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Cloud Data Engineer Jobs in Seattle, WA (NOW HIRING)

AWS Cloud Data Engineer

Seattle, WA · On-site +1

$130K - $156K/yr

Must have a background in data engineering - Data Warehouse Development experience would be perfect * Must have strong skills in SQL, Python, PySpark, and AWS * Experience in designing, developing ...

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Cloud Data Platforms and Enterprise Data Engineering - Experience working with modern cloud-based data environments and enterprise data infrastructure to improve scalability, reliability, governance ...

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Cloud Data Platforms and Enterprise Data Engineering - Experience working with modern cloud-based data environments and enterprise data infrastructure to improve scalability, reliability, governance ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Leverage modern data engineering practices and frameworks with an object-oriented approach to ... data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure preferred.

Sr Data Engineer

Seattle, WA · On-site

$148K - $199K/yr

... in a cloud data warehouse environment. The Senior Data Engineer designs and maintains curated ... datasets and data products that support reporting, analytics, machine learning, and operational ...

Principal Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Principal Data Engineer Position Description: Protingent Staffing has an exciting direct-hire ... Lead efforts in migrating legacy data systems to a modern cloud-based stack centered on Snowflake.

Data & AI Engineer

Bellevue, WA · On-site

$128K - $154K/yr

... cloud data platforms (Azure preferred) Qualifications : Required : • Minimum 6 years of hands-on experience in data engineering roles • Strong knowledge in data modelling and propose best ...

Data Pipeline Engineer

Redmond, WA · On-site

$113K - $187K/yr

This opportunity will allow you to deepen your expertise in cloud data platforms, data engineering, and large-scale analytics solutions while contributing to Microsoft's customer success mission.

Data/Cloud Engineer

Seattle, WA · On-site

$130K - $156K/yr

The Data/Cloud Engineer is responsible for designing, building, testing, and deploying data ingestion connectors and ETL/ELT pipelines, working in pods to deliver data sources to production.

Cloud Infrastructure Engineer

Redmond, WA · On-site

$62.50 - $83.50/hr

Must have Azure Cloud Data Platform Engineering experience SAP S/4HANA Role Management Overview experience.** Cloud Infrastructure Engineer * Experience with cloud-based enterprise planning and ...

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... cloud data platforms Databricks, Snowflake, or comparable with a willingness to develop hands-on ... engineering concepts data modeling, ETL/ELT, data quality, source-to-target mapping. • ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Monitor and troubleshoot data engineering-related incidents * Support development and maintenance ... Ensure cloud environment reliability, availability, performance and security Define and implement ...

Sr. Data/Cloud Engineer

Seattle, WA · On-site

$130K - $156K/yr

The Sr. Data/Cloud Engineer will design, build, test, and deploy data ingestion connectors and ETL/ELT pipelines, playing a crucial role in delivering data sources to production. Responsibilities ...

Data Engineer

Seattle, WA

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Principal Data Engineer

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Sitting within Cloud Analytics as a forward-deployed partner to the AgentExchange and Partner Ecosystem business, this role collaborates hand-in-hand with product, engineering, and data leadership to ...

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Showing results 1-20

Cloud Data Engineer information

See Seattle, WA salary details

$26

$71

$99

How much do cloud data engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for cloud data engineer in Seattle, WA is $71.61, according to ZipRecruiter salary data. Most workers in this role earn between $61.06 and $81.59 per hour, depending on experience, location, and employer.

What are some common challenges a cloud data engineer faces when migrating data to the cloud?

Cloud Data Engineers often encounter challenges such as ensuring data security and compliance during migration, optimizing data pipelines for cloud performance, and managing data integrity across distributed systems. They must work closely with cross-functional teams to minimize downtime and avoid data loss, and frequently address issues related to data format compatibility and legacy system integration. Staying up-to-date with evolving cloud technologies and best practices is also essential for successful data migration projects.

What is the difference between Cloud Data Engineer vs Data Analyst?

AspectCloud Data EngineerData Analyst
Required CredentialsCloud certifications (e.g., AWS, Azure), SQL, programming skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, big data tools, data pipelinesData visualization, reporting, business insights
Employer & Industry UsageTech companies, finance, healthcare, cloud service providersMarketing, finance, retail, business intelligence

While Cloud Data Engineers focus on building and maintaining cloud-based data infrastructure, Data Analysts interpret data to provide business insights. Both roles require SQL skills, but Cloud Data Engineers emphasize cloud platforms and data pipeline development, whereas Data Analysts focus on data visualization and reporting.

What are the key skills and qualifications needed to thrive as a cloud data engineer?

To excel as a Cloud Data Engineer, you need strong expertise in data modeling, ETL processes, programming languages like Python or SQL, and a solid understanding of cloud platforms such as AWS, Azure, or Google Cloud, often supported by a relevant degree and cloud certifications. Familiarity with tools like Apache Spark, Hadoop, cloud storage systems, and data pipeline orchestration frameworks is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver scalable solutions and collaborate with cross-functional teams. These competencies are essential for building robust, secure, and efficient data infrastructure that supports business intelligence and analytics.

What does a cloud data engineer do?

A cloud data engineer designs, builds, and maintains data pipelines and storage solutions in cloud environments such as AWS, Azure, or Google Cloud. They work with big data tools, manage data security, and optimize data workflows to support analytics and business intelligence. Proficiency in programming, database management, and cloud services is essential for this role.

What is a cloud data engineer?

A Cloud Data Engineer is an IT professional who designs, builds, and manages scalable data infrastructure and pipelines in cloud environments. They work with cloud platforms like AWS, Google Cloud, or Azure to create systems that collect, process, store, and analyze large volumes of data. Their responsibilities include setting up data lakes and warehouses, ensuring data quality and security, and enabling data-driven applications. Cloud Data Engineers collaborate with data scientists, analysts, and other stakeholders to support business intelligence and analytics initiatives.
What are popular job titles related to Cloud Data Engineer jobs in Seattle, WA? For Cloud Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Cloud Data Engineer jobs in Seattle, WA look for? The top searched job categories for Cloud Data Engineer jobs in Seattle, WA are:
Infographic showing various Cloud 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 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $148,940 per year, or $71.6 per hour.

Data Engineer Azure Cloud & Enterprise Data Solutions

The AES Group

Seattle, WA • On-site

$130K - $156K/yr

Contractor

Re-posted 21 days ago


Job description

Job Title: Data Engineer – Azure Cloud & Enterprise Data Solutions
Location: Remote - USA (EST)


Why Join Us?

  • Work on high-impact cloud data initiatives
  • Engage with agile teams and cross-functional stakeholders
  • Opportunities to influence architecture and governance processes

About the Role

We are hiring a Senior Azure Data Engineer to support analytics and modernization projects for a major Client. This role requires deep expertise in Azure data services, strong hands-on skills in ETL/ELT pipeline development, and a solid background in data governance.


Key Responsibilities

  • Design, build, and maintain data pipelines using Azure Data Factory, Azure Databricks, and Synapse Analytics
  • Develop scalable ETL/ELT workflows with Python, SQL, and Apache Spark
  • Implement robust data models aligned to enterprise architecture standards
  • Engineer analytics and data integration pipelines in cloud/hybrid environments
  • Support data governance efforts including metadata management, data lineage, and cataloging
  • Drive data quality and compliance across regulated domains (healthcare, finance, or federal environments)
  • Collaborate in Agile teams and contribute to CI/CD pipelines via Azure DevOps

Required Skills & Experience

  • 10+ years of experience in data engineering, including 5+ years on Azure
  • Proven expertise in:
    • Azure Data Factory
    • Databricks
    • Azure Synapse
    • Apache Spark, SQL, and Python
  • Strong background in building cloud-native data solutions and modeling complex data sets
  • Experience in regulated or federal data environments
  • Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)
  • Excellent communication and stakeholder management skills

Nice to Have

  • Familiarity with Azure DevOps and CI/CD automation
  • Experience authoring secure, scalable ETL workflows in compliance-focused environments
  • Ability to lead and normalize data structures for enterprise use
  • Strong knowledge of data cataloging, lineage tracking, and data governance best practices
  • Passion for documentation, standards, and continuous improvement

Ready to build the future of data-driven solutions? Apply now and be part of something impactful!