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Full Time Microsoft Data Engineer Jobs in Seattle, WA

Microsoft

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Ensure platform services comply with Microsoft engineering and security standards. Resource ... Experience supporting Data Engineering, Analytics, AI, or Business Intelligence environments.

Microsoft

Senior Data Engineer

Redmond, WA · On-site

$118K - $161K/yr

Overview Microsoft Silicon Cloud Hardware Infrastructure Engineering (SCHIE) is the team behind ... The Azure Data and AI Solutions (ADAS) Team within SCHIE develops advanced analytical and tooling ...

Microsoft

Principal Data Engineer - CoreAI

Redmond, WA · On-site

$142K - $274K/yr

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 ...

Microsoft

Senior Structural Engineer

Redmond, WA · On-site

$119K - $234K/yr

Overview Microsoft Cloud Operations and Innovation (CO&I) is the team behind the cloud. Within CO&I, the Data Center Engineering (DCE) team is responsible for delivering core data center ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

... Microsoft Azure. In this role, you will be on the cutting edge of data engineering-thinking ... Thebasesalaryrange for this position is$130,000 - $150,000, on a full-time schedule. * Along with ...

CyberProof

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... Microsoft Fabric (Fabric IQ, OneLake) per the design specifications. • Build assigned Power BI ... data engineering or software engineering experience, including internships and academic project ...

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 ... This is deployed on the Microsoft Azure platform using core Cloudera technologies such as Cloudera ...

Microsoft

Senior Software Engineer

Redmond, WA · On-site

$160K - $261K/yr

... Software Engineer to join our dynamic team to build a new modernized User Identity Graph by ... Microsoft data sources, interface with the partner teams, build diagnostics and monitoring ...

Elevance Health

Senior Data Engineer

Seattle, WA · Hybrid

$120K - $163K/yr

Relevant Microsoft Fabric, Azure Data, Databricks, cloud architecture, or data-engineering certifications are preferred. Security certifications such as CISSP, ISSAP, ISSEP, or equivalent ...

Microsoft

Principal Software Engineer

Redmond, WA · On-site

$188K - $304K/yr

... Software Engineer to join our dynamic team to build a new modernized User Identity Graph by ... Microsoft data sources, interface with the partner teams, build diagnostics and monitoring ...

Pwc

Data Engineer - Manager

Seattle, WA

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

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All JobsMicrosoft Data Engineer JobsFull Time Microsoft Data Engineer JobsFull Time Microsoft Data Engineer Jobs in Seattle, WA

Full Time Microsoft Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do full time microsoft data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for full time microsoft data engineer in Seattle, WA is $147,621.00, 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 a full time Microsoft data engineer?

A Full Time Microsoft Data Engineer is a professional who specializes in designing, building, and managing data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and Azure Synapse Analytics. Their role involves constructing data pipelines, transforming raw data into usable insights, and ensuring data quality and security. They often collaborate with data scientists, analysts, and business stakeholders to deliver scalable and efficient data systems. Working full time means they are employed on a standard, ongoing basis rather than as a contractor or part-time worker.

What are the key skills and qualifications needed to thrive as a full time Microsoft data engineer?

To thrive as a Full Time Microsoft Data Engineer, you need strong expertise in data modeling, SQL, ETL processes, and a solid understanding of database concepts, often supported by a degree in computer science or a related field. Proficiency with Microsoft data tools such as Azure Data Factory, SQL Server, Power BI, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are typically required. Exceptional problem-solving, analytical thinking, and effective communication help you stand out in collaborating with cross-functional teams and translating business requirements into technical solutions. These skills are essential for building robust, scalable data systems that drive informed decision-making and business success.

What are some typical challenges faced by full time Microsoft data engineers when working on large-scale data migration projects?

Full Time Microsoft Data Engineers often encounter challenges such as ensuring data consistency and integrity during migrations, especially when moving large volumes of data from legacy systems to modern Microsoft platforms like Azure SQL or Synapse Analytics. Coordinating with cross-functional teams—including database administrators, business analysts, and IT security—is crucial to address compatibility issues and maintain security compliance. Additionally, managing downtime and minimizing disruptions to business operations requires careful planning, robust testing, and clear communication with stakeholders throughout the migration process.

What is the difference between Full Time Microsoft Data Engineer vs Full Time Data Analyst?

AspectFull Time Microsoft Data EngineerFull Time Data Analyst
Required SkillsSQL, Azure, ETL, Python, SparkExcel, SQL, Data Visualization, Business Intelligence tools
CertificationsMicrosoft Certified: Azure Data Engineer AssociateNone specific, often Tableau or Power BI certifications
Work EnvironmentCloud platforms, data pipelines, backend data systemsData reporting, visualization, business insights
Industry UsageTech, finance, healthcare, retailFinance, marketing, consulting, healthcare

Full Time Microsoft Data Engineers focus on building and maintaining data pipelines using Microsoft Azure and related tools, while Full Time Data Analysts interpret data to provide business insights through visualization and reporting. Both roles require strong SQL skills but differ in technical depth and focus areas.

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

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

Full Time Microsoft Data Engineer jobs near you

Data and AI Engineer (Mid-Level)

Shannon & Wilson, Inc.

Seattle, WA • On-site

$110K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Job Type
Full-time
Description
Shannon & Wilson is a leading geotechnical engineering firm dedicated to delivering innovative solutions in infrastructure, transportation, and environmental projects. As part of our digital transformation journey, we are investing in modern data platforms and analytics capabilities to support better decision-making and operational excellence.
Job Summary:
We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our engineers, supporting staff, and leadership have reliable, trusted access to data for project delivery, reporting, and strategic insights.
Responsibilities:
Platform Operations & Maintenance
- Administer and monitor Microsoft Fabric (or Azure Synapse/Lakehouse), Azure SQL Databases, and Power BI workspaces.
- Ensure data pipelines, notebooks, and scheduled refreshes run reliably and on time.
- Implement monitoring, alerting, and cost optimization strategies for the platform.
Data Engineering & Integration
- Build, maintain, and optimize ingestion pipelines from internal systems (ERP, project management software) and external data sources.
- Design and maintain clean, curated data models to support reporting and analytics needs.
- Collaborate with business analysts to ensure data structures meet business requirements.
Governance & Security
- Apply data governance standards for naming conventions, schema design, and access control.
- Work with IT to enforce security policies, manage permissions, and ensure compliance with client and regulatory requirements.
Continuous Improvement
- Stay current with Microsoft's data platform capabilities (Fabric, Power BI, Azure Data Factory, etc.).
- Recommend new features, automation, or process improvements to enhance reliability and usability.
- Partner with stakeholders to identify and implement new use cases for analytics and reporting.
Requirements
  • Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience).
  • 7 to 14 years of experience with Microsoft data stack (Azure SQL Database, Azure Data Factory, Synapse, Power BI, or Fabric).
  • Strong SQL development skills and experience with data modeling (star/snowflake schema) required.
  • Hands-on experience with ETL/ELT pipelines and automation scheduling required.
  • Familiarity with cloud-based data security and access control practices.
  • Experience with Microsoft Fabric Lakehouse and Mirrored Databases preferred.
  • Familiarity with engineering or construction industry data (projects, cost, schedule) preferred.
  • Python or Spark experience for data transformation preferred.
  • Knowledge of DevOps/Git-based version control for data pipelines preferred.
  • Strong collaboration skills - able to work with project managers, analysts, and IT staff.
  • Excellent troubleshooting and problem-solving skills.
  • Continuous improvement mindset with willingness to learn and adopt new technologies.
  • Clear communication skills (both technical and business-oriented).

Level Placement:
Typically, depending on an applicant's education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, a Mid-Level Data Engineer typically would be placed at a Shannon & Wilson Senior Professional I, II, or III level with annual compensation ranging from $110,000 - $145,000.
Shannon & Wilson is committed to providing a comprehensive total rewards package that includes the following benefits:
  • Employee stock ownership
  • Medical, prescription, vision, dental, long-term care and life insurance plans are offered to employees (and their families).
  • Pre-tax health and daycare FSA
  • Profit sharing and 401(k) plans with annual safe-harbor contributions
  • 10 - 20 paid vacation days per year for full-time employees, based on years of experience (prorated for part-time employment)
  • Sick leave accrues based on state requirements
  • 9 paid holidays per year + 1 personal holiday
  • Paid volunteer day
  • Paid time off for bereavement and jury duty
  • Two weeks of paid parental leave
  • Lunch & Live wellness webinars and an Employee Assistance Program
  • Mentorship Program
  • Tuition Reimbursement
  • Free parking

Shannon & Wilson is an Equal Opportunity Employer
Shannon & Wilson participates in the E-Verify program.
Please note that non-solicited resumes from external recruitment agencies will not be considered as introductions to our business, unless a preapproved agreement is in place and the external recruitment agency has been engaged to work on this specific vacancy.
Salary Description
$110,000 - $145,000

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