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Data Engineer Two Jobs in Everett, WA (NOW HIRING)

Data Engineer II, AWS Analytics Engineering

Seattle, WA · On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Data Engineer to join our Data Ingestion Platform team. In this role, you will design, build, and operate the next-generation ingestion service that automatically onboards data from ...

Data Engineer II, AWS Analytics Engineering

Seattle, WA · On-site

$130K - $156K/yr

We are seeking a Data Engineer to join our Data Ingestion Platform team In this role, you will design, build, and operate the next-generation ingestion service that automatically onboards data from ...

Data Engineer II, AWS Analytics Engineering

Seattle, WA · On-site

$130K - $156K/yr

We are seeking a Data Engineer to join our Data Ingestion Platform team In this role, you will design, build, and operate the next-generation ingestion service that automatically onboards data from ...

Data Engineer II, Prime Video Advertising

Seattle, WA · On-site

$130K - $156K/yr

We are seeking a highly skilled and technically adept Data Engineer to join our PVA Data Engineering team In this role, you will design, build, and maintain scalable, fault-tolerant data pipelines ...

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data ... Two weeks of paid parental leave * Lunch & Live wellness webinars and an Employee Assistance ...

Data Engineer II, Prime Video Advertising

Seattle, WA · On-site

$130K - $156K/yr

We are seeking a highly skilled and technically adept Data Engineer to join our PVA Data Engineering team In this role, you will design, build, and maintain scalable, fault-tolerant data pipelines ...

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Minimum 2+ years of experience designing, building, and enhancing high-performance pipelines (ETL/ELT) and building optimized Data Marts across the enterprise. * Databricks Ecosystem: Minimum 2+ ...

New

Data Engineer II, Prime Video Advertising

Seattle, WA · On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a highly skilled and technically adept Data Engineer to join our PVA Data Engineering team. In this role, you will design, build, and maintain scalable, fault-tolerant data pipelines ...

Data Engineer II, Prime Video Advertising

Seattle, WA · On-site

$130K - $156K/yr

We are seeking a highly skilled and technically adept Data Engineer to join our PVA Data Engineering team In this role, you will design, build, and maintain scalable, fault-tolerant data pipelines ...

Data Engineer II, Prime Video Advertising

Seattle, WA · On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a highly skilled and technically adept Data Engineer to join our PVA Data Engineering team. In this role, you will design, build, and maintain scalable, fault-tolerant data pipelines ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Monitor and troubleshoot data engineering-related incidents * Support development and maintenance ... .) 2+ years and a proven record of success in Azure administration 3+ years and a proven record of ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Marketing 2 years Responsibilities * Build subject matter expertise of our business and data ... Leverage modern data engineering practices and frameworks with an object-oriented approach to ...

Showing results 21-40

Data Engineer Two information

See Everett, WA salary details

$49.2K

$143.3K

$196.1K

How much do data engineer two jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data engineer two in Everett, WA is $143,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,500.00 and $151,900.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Two vs Data Engineer One?

AspectData Engineer TwoData Engineer One
Required CredentialsBachelor's degree in Computer Science or related field; experience with cloud platformsSimilar credentials, often entry-level or less experience
Work EnvironmentCollaborates on complex data pipelines, often in team settingsSupports basic data tasks, more independent work
Employer & Industry UsageUsed in tech, finance, healthcare industriesCommon in same industries, often as entry-level roles
Search & Comparison IntentOften searched for by those with some experience seeking advanced rolesTypically searched by entry-level candidates

Data Engineer Two roles generally require more experience and involve handling complex data systems, whereas Data Engineer One positions are more entry-level with simpler responsibilities. Both roles are prevalent across industries like tech, finance, and healthcare, but Data Engineer Two is suited for those with more technical expertise and experience.

What other jobs can a data engineer do?

Data engineers can transition into roles such as data architects, data scientists, machine learning engineers, or analytics managers, leveraging their skills in data pipeline development, database management, and programming. They often work with tools like SQL, Python, and cloud platforms, and may pursue certifications to expand their expertise. These roles typically require strong analytical skills and knowledge of data modeling and infrastructure.

What are popular job titles related to Data Engineer Two jobs in Everett, WA?

For Data Engineer Two jobs in Everett, WA, the most frequently searched job titles are:

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

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

Infographic showing various Data Engineer Two job openings in Everett, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $143,294 per year, or $68.9 per hour.

Software Engineer II, Data Intelligence

Microsoft Corporation

Redmond, WA • On-site

$133K - $219K/yr

Other

Posted 2 days ago

New


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
Microsoft Digital (MSD) builds and manages the critical products and services that Microsoft runs on. We boldly pursue big ideas that power transformational advances at Microsoft and for our customers, while helping Microsoft teams work smarter, faster, and more securely every day. Microsoft Digital employees have deep technical and business expertise, customer insights, and a clear point of view that comes from first-hand, large-scale experience with Microsoft and industry solutions. We are engineers, technology leaders and experts, digital transformation change agents, and customer advocates.
We have exciting opportunities for you to innovate, influence, transform, inspire, and grow within our organization and we encourage you to apply to learn more!
As a Software Engineer II on the Data Intelligence team, you will design, develop, and maintain AI-driven network and security intelligence solutions. Partnering with senior engineers and data scientists, you will help apply machine learning models for applications such as anomaly detection and classification and contribute to Generative AI solutions built on Azure OpenAI and the M365 platform. You will build and operate data engineering pipelines using technologies like Spark, Synapse/ADF, Azure Data Explorer (Kusto), and Fabric. This role is an excellent opportunity to deepen your technical skills and grow your ability to deliver end-to-end solutions.
This position is based at the Redmond campus with 3 days per week work in the office and 2 days per week work from home. Relocation assistance is available.
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.
Responsibilities
  • Develop and maintain features for AI-driven network and security intelligence solutions.
  • Contribute to building and enhancing machine learning models and Generative AI agents with guidance from senior team members.
  • Build and support data engineering pipelines using technologies such as Spark, Synapse/ADF, Azure Data Explorer (Kusto), and Fabric.
  • Collaborate with cross-functional teams, including network engineers and data scientists, to integrate AI/ML solutions into Microsoft's network infrastructure.
  • Troubleshoot live-site issues and participate in the DRI (Designated Responsible Individual) rotation.
  • Help ensure the scalability, reliability, and performance of AI, ML, and data solutions.
  • Write clean, testable, well-documented code and participate in code reviews.
  • Apply security, privacy, and compliance best practices throughout the development lifecycle.
  • Stay current with advancements in AI, ML, and data engineering technologies.

Qualifications
Required Qualifications:
  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

Preferred Qualifications:
  • 1+ years experience building data solutions, including databases (SQL/No-SQL) and ETL / data pipelines using cloud services, OR equivalent experience
  • Experience with the Azure Big Data stack (Data Lake, Spark, Hadoop) and distributed processing such as Apache Spark, Azure Data Factory (or Synapse), or equivalent.
  • Experience with Azure, REST APIs, and Web Apps OR equivalent.
  • Experience building and/or applying machine learning solutions.
  • Familiarity with LLMs, SLMs, skills and agents
  • Familiarity with network engineering concepts.

#MSD #MSDJOBS #AI
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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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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