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

Expertise with modern data engineering languages and frameworks (e.g., Azure Data Explorer, PySpark, SQL, etc). * Experience collaborating in cross-functional teams and building consensus among ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Requirement - AI Data Engineer Location- Redmond WA 98052-Hybrid Contract W2 Top 3 Must-Have Hard ... Develop and optimize Azure Data Explorer (Kusto/ADX) queries, functions, data models, scheduled ...

Lead Data Architect

Bellevue, WA · On-site

$173K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Company Description Founded by experienced entrepreneurs and engineers in 2016, Pismo is a ... Design and govern real-time and event-driven data architectures leveraging Apache Kafka and Azure ...

Lead Data Architect

Bellevue, WA · On-site

$173K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Engineer, operating in complex enterprise environments. Deep expertise in Streaming architectures, including managed or commercial distributions (e.g., Kafkacompatible Azure Event Hubs or ...

Azure Developer

Redmond, WA

$61.50 - $76.50/hr

... and data analytics. Since its inception, Halo Group has been recognized for numerous awards ... Net/SQL with abilities to ramp up on USQL (programming language for Azure) 4. Strong technical ...

C# ETL Azure Developer---NEED

Seattle, WA · On-site

$62.50 - $77.75/hr

C# ETL Azure Developer Location - Seattle, WA Duration - 6 months Developer will be expected to ... Basic Qualifications * 7+ years of experience in developing data management code in C# * ETL ...

Lead Data Architect

Bellevue, WA · On-site

$173K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Engineer, operating in complex enterprise environments. Deep expertise in Streaming architectures, including managed or commercial distributions (e.g., Kafkacompatible Azure Event Hubs or ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Strong programming skills in Python, C#, and PowerShell. * Experience with AI-assisted engineering ... Develop and optimize Azure Data Explorer (Kusto/ADX) queries, functions, data models, scheduled ...

Jr. Azure Developer

Redmond, WA · On-site

$61.50 - $76.50/hr

... and data analytics. Since its inception, Halo Group has been recognized for numerous awards ... Net/SQL with abilities to ramp up on USQL (programming language for Azure) - Strong technical ...

Senior Data Engineer

Redmond, WA · On-site

$118K - $161K/yr

The Azure Data and AI Solutions (ADAS) Team within SCHIE develops advanced analytical and tooling ... This high-impact role combines data engineering with data science, and will have direct ...

New

.NET Developer (Azure)

Redmond, WA · On-site

$61.50 - $76.50/hr

At least 2 year of experience with below skills * C#, data structures, and basic algorithms. * Implied: .Net and Visual Studio * Production coding experience. * Experience with Azure * Portal

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 ...

Senior Data Engineer

Redmond, WA · On-site

$118K - $161K/yr

The Azure Data and AI Solutions (ADAS) Team within SCHIE develops advanced analytical and tooling ... This high-impact role combines data engineering with data science, and will have direct ...

Showing results 41-60

Azure Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do azure data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for azure 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 Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.

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

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

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

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

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

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

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

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

Infographic showing various Azure Data Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $147,618 per year, or $71 per hour.

Principal Data Engineer - CoreAI

Microsoft

Redmond, WA • On-site

$142K - $274K/yr

Full-time

Posted 5 days ago


Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

79th of 244 rated software companies


Job description

Overview
As a Principal Data Engineer - CoreAI at Microsoft CoreAI, you will operate as a senior technical leader shaping the data and analytics foundations that power Microsoft's AI platforms on a global scale.
This role goes beyond execution. You will define architectural direction, influence multi-team roadmaps, and set engineering standards that enable reliable, secure, and scalable analytics for AI-driven products!
We do not just value differences or different perspectives. We actively seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
  • Own and define end-to-end data and analytics architecture for CoreAI and Foundry platforms, setting long-term technical direction for scalable, reliable, and cost-effective analytics supporting AI workloads.
  • Design, build, and optimize large-scale, robust data pipelines and architectures that support CoreAI's analytics initiatives.
  • Develop and extend scalable ETL/ELT workflows, ensuring reliable ingestion, transformation, and storage of high-volume, high-velocity data from diverse sources.
  • Data Governance & Trust: follow best practices for data quality, lineage, security, and compliance.
  • Collaborate with stakeholders to define trustworthy data sets and implement rigorous data validation protocols, ensuring CoreAI's analytics are both accurate and auditable.
  • Analytics Enablement: Partner with data scientists, analysts, and business leaders to translate business needs into technical solutions.
  • Enable self-service analytics and empower teams by building data models, semantic layers, and tools that streamline access to trusted information.
  • Cross-Functional Collaboration: Work closely with product managers, software engineers, AI researchers, and business stakeholders to align data solutions with business goals.
  • Translate ambitious vision into actionable roadmaps and measurable outcomes.
  • Mentor senior engineers and technical leads, guide complex design decisions, and foster a culture of engineering excellence, operational rigor, and continuous learning across the organization.

Qualifications
Required/Minimum Qualifications:
  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering
    • OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering
      • OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications:
  • Deep experience architecting and operating large-scale distributed data systems in cloud environments, preferably Azure.
  • Ability to write clean, working code using core algorithms, data structures, and analytics-oriented problem-solving.
  • Extensive experience in implementing and optimizing data pipelines and distributed data systems (e.g., Azure Data Lake, Spark, Synapse, SQL databases).
  • Understanding of data governance, privacy, lineage, and security best practices, especially within highly regulated or enterprise environments.
  • Excellent communication skills to convey complex technical concepts to both technical and non-technical audiences.
  • Expertise with modern data engineering languages and frameworks (e.g., Azure Data Explorer, PySpark, SQL, etc).
  • Experience collaborating in cross-functional teams and building consensus among stakeholders with diverse backgrounds (engineering, analytics, product, business).
  • Track record of driving innovation in data engineering, including experience leading technical projects and mentoring others.

Data Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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