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Entry Level Microsoft Data Engineer Jobs in Seattle, WA

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 ...

Zortech Solutions

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Skills required: * Cosmos SQL experience Azure Power BI * Knowledge of Azure Data ... Microsoft Big Data Technologies * Knowledge on Azure VM Storage Role and Responsibilities: * Should ...

Pwc

Data Engineer - Senior Associate

Seattle, WA · On-site

$77K - $202K/yr

... AWS and Microsoft Azure - Excelling in data architecture development and data modeling ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Seattle, WA

$77K - $202K/yr

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Microsoft

Software Engineer II

Redmond, WA · On-site

$109K - $149K/yr

Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time ...

Microsoft

Software Engineer

Redmond, WA · On-site

$133K - $219K/yr

Overview Commercial Engineering & AI (CEAI) organization is at the forefront of Microsoft's mission ... Collaborate with cross-functional teams-including product managers, data scientists, data engineers ...

Microsoft

Software Engineer II

Redmond, WA · On-site

$109K - $149K/yr

Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time ...

Microsoft

Software Engineer II

Redmond, WA · On-site

$109K - $149K/yr

Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time ...

Microsoft

Senior Site Reliability Engineer

Redmond, WA · On-site

$63.75 - $84.75/hr

Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time ...

AAA Washington

Data Acquisition Engineer I

Bellevue, WA · On-site

$129K - $155K/yr

The Data Acquisition Engineer I builds and maintains data ingestion pipelines within the Microsoft Azure and Microsoft Fabric platform. Working under senior engineer guidance, this role contributes ...

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All JobsMicrosoft Data Engineer JobsEntry Level Microsoft Data Engineer JobsEntry Level Microsoft Data Engineer Jobs in Seattle, WA

Entry Level Microsoft Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do entry level microsoft data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for entry level 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 does an entry level Microsoft data engineer do?

An Entry Level Microsoft Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, and Power BI. Their role typically involves collecting, transforming, and loading (ETL) data from various sources to enable data analysis and reporting. They work closely with other IT professionals to ensure data integrity, performance, and security while learning best practices in data engineering. This position is ideal for those starting their careers in data engineering and looking to develop expertise in Microsoft's data ecosystem.

What are some common challenges faced by entry level Microsoft data engineers when working with large datasets?

Entry-level Microsoft Data Engineers often encounter challenges such as ensuring data integrity during extraction, transformation, and loading (ETL) processes, especially when dealing with large or complex datasets in Azure environments. Optimizing query performance and managing resource costs can also be difficult for those new to cloud-based data solutions. However, these challenges are excellent learning opportunities, as they encourage developing strong troubleshooting skills and familiarity with tools like Azure Data Factory, SQL Server, and Power BI. Support from more experienced team members and access to structured onboarding programs can help new hires quickly become proficient and confident in their daily responsibilities.

What are the key skills and qualifications needed to thrive as an entry level Microsoft data engineer?

To thrive as an Entry Level Microsoft Data Engineer, you need foundational knowledge of SQL, data modeling, and a relevant degree in computer science or a related field. Familiarity with Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and possibly certifications like Microsoft Certified: Azure Data Engineer Associate are typically expected. Strong analytical thinking, attention to detail, and effective communication help you stand out when collaborating with teams and translating data requirements. These skills are crucial for ensuring reliable data pipelines, facilitating data-driven decisions, and supporting organizational growth.

What is the difference between Entry Level Microsoft Data Engineer vs Data Analyst?

AspectEntry Level Microsoft Data EngineerData Analyst
Required CredentialsMicrosoft certifications, SQL, basic cloud knowledgeExcel, SQL, data visualization tools
Work EnvironmentData pipelines, cloud platforms, database managementData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with data infrastructure needsMarketing, retail, finance for insights and reporting

Both roles often require SQL and basic data skills, but Data Engineers focus on building data systems and pipelines, while Data Analysts interpret data and create reports. Entry Level Microsoft Data Engineers typically work more with cloud platforms and data infrastructure, whereas Data Analysts focus on data visualization and insights. The roles are complementary 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:
What are popular job titles related to Entry Level Microsoft Data Engineer jobs in Seattle, WA? For Entry Level Microsoft Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Microsoft Data Engineer jobs in Seattle, WA look for? The top searched job categories for Entry Level Microsoft Data Engineer jobs in Seattle, WA are:
Entry Level Microsoft Data Engineer jobs near you
Infographic showing various Entry Level Microsoft Data Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 86% Full Time, 7% Temporary, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $147,621 per year, or $71 per hour.

Senior Data Engineer (Microsoft Fabric & AI)-Redmond

Artic Consulting, Inc

Redmond, WA • On-site

$115K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Overview :
Artic Consulting is a dynamic IT and consulting services firm, delivering digital transformation through innovative solutions in data, cloud, and business analytics. We are seeking a skilled Data Engineer 5+years with a strong focus on the Microsoft Fabric ecosystem, who can design and implement scalable data solutions for our clients.
Key Responsibilities:
  • Design, develop, and maintain Power BI reports, dashboards, DAX expressions, KPIs, and scorecards using both Import and Direct Query modes.
  • Build and orchestrate scalable ETL/ELT workflows using Fabric Data Pipelines, Dataflows Gen2, and Azure Data Factory.
  • Write and tune complex T-SQL and KQL queries, stored procedures, and views for performance in Synapse SQL and SQL Server environments.
  • Implement data models based on star/snowflake schemas and support modern data warehousing and Lakehouse architectures using Microsoft Fabric.
  • integrate structured and unstructured data sources (e.g., SQL, Excel, APIs, Blob Storage), and transform them efficiently using Fabric Notebooks (Spark/PySpark) or Dataflows.
  • Diagnose and resolve pipeline failures, logic errors, and performance bottlenecks across the data engineering lifecycle.
  • Automate repetitive data processes using Azure Functions, Logic Apps, PowerShell, or Python scripting within the Fabric ecosystem.
  • Collaborate with stakeholders to gather business requirements and translate them into scalable data solutions.
  • Ensure data governance, privacy, and compliance standards (e.g., GDPR, HIPAA, ISO) are adhered to, including sensitive data handling policies.
  • Apply best practices for item-level security, workspace-based access models, and data lineage using Microsoft One Lake and Fabric tools.
Required Qualifications:
  • Bachelor's degree in computer science, Information Systems, Engineering, or equivalent professional experience.
  • Minimum 3 years of experience in Power BI development and data engineering.
  • Strong expertise in T-SQL and KQL, with demonstrated query optimization skills.
  • Proficiency in Microsoft Fabric tools: Data Pipelines, Dataflows Gen2, OneLake, Notebooks.
  • Hands-on experience with Spark/PySpark and data integration from varied sources.
  • Microsoft Power BI certification (PL-300) or equivalent Microsoft certifications.
Preferred Skills:
  • Experience debugging and optimizing advanced SQL queries, database objects, and legacy components.
  • Ability to implement database security models and data protection policies .
  • Expertise in implementing row-level security, dynamic data masking, and role-based access control within Microsoft Fabric and Power BI environments.
  • Familiarity with Microsoft OneLake architecture, including data cataloging, lineage tracking, item-level security, and workspace-based access management.
  • Proven ability to operate effectively in dynamic, client-facing environments, delivering scalable and compliant data solutions with a focus on performance and quality.

Equal Employment Opportunity
Artic Consulting is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Artic is committed to providing veteran employment opportunities to our service men and women.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring.
Benefits
Join Artic and you will benefit from outstanding professional support and investment in your development. You will have the opportunity to learn from and be coached by the best in the business - supportive leaders and colleagues who can pass on their industry, technical and functional expertise.
This also includes medical, dental, vision, and life insurance benefits, 401k,vacation,and annual review process.
Budget Range
Salary Range: $115,000-$120,000 USD annually (depending on experience, skills, location, and qualifications).

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