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Fabric Data Engineer Jobs in Renton, WA (NOW HIRING)

MAQ Software

Software Data Operations Engineer

Redmond, WA · On-site

$85K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Software Data Operations Engineer Redmond, Washington About MAQ Software MAQ Software enables ... By implementing Microsoft Fabric's Real-Time Intelligence capabilities, including Eventstreams ...

Microsoft

Senior Business Analytics Specialist

Redmond, WA · On-site

$62 - $79.75/hr

Git, Fabric deployment pipelines, CI/CD (Azure DevOps / GitHub), automated data-quality testing, and observability. * Languages: Python, SQL / T-SQL, PySpark, DAX, and KQL. AI-Native Data Platform ...

Armaninollp

Senior Data & AI Platform Engineer

Bellevue, WA · On-site

$76 - $101.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Serve as the technical authority across a core platform (Fabric, Snowflake, or Databricks) plus a ... Minimum 6 years in data engineering, platform engineering, analytics engineering, or cloud ...

Reply

Manager, Data Engineering

Seattle, WA · On-site

$160K - $190K/yr

Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

Reply

Manager, Data Engineering

Seattle, WA · On-site

$160K - $190K/yr

Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

Collabera Digital

Data Analyst

Redmond, WA · On-site

$156K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Engineering to the Power of AI™, AAVA™, Engineering AI , Engineering to Elevate Life™ ... the fabric of our company, and it is what makes us unique and diverse. The way we share ideas ...

Collabera Digital

Data Analyst

Redmond, WA · On-site

$162K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our engineering, cloud, data, experience design, and talent solution capabilities accelerate ... the fabric of our company, and it is what makes us unique and diverse. The way we share ideas ...

Collabera Digital

Data Analyst

Redmond, WA · On-site

$140K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our engineering, cloud, data, experience design, and talent solution capabilities accelerate ... the fabric of our company, and it is what makes us unique and diverse. The way we share ideas ...

Salesforce, Inc.

Software Engineering LMTS

Bellevue, WA · On-site

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The Data Security Fabric team is seeking a Lead Data Engineer to help architect and build a secure, cloud-native, and highly scalable Data Platform designed to measure, mitigate, and reduce ...

Microsoft

Senior Software Engineer

Redmond, WA · On-site

$119K - $234K/yr

... Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse ... Ability to mentor developers in the team and drive experiences across teams to deliver ...

Salesforce

Software Engineering LMTS

Bellevue, WA · On-site

$173 - $260/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The Data Security Fabric team is seeking a Lead Data Engineer to help architect and build a secure, cloud-native, and highly scalable Data Platform designed to measure, mitigate, and reduce ...

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Showing results 41-60

All JobsFabric Data Engineer JobsFabric Data Engineer Jobs in Renton, WA

Fabric Data Engineer information

See Renton, WA salary details

$50.1K

$145.9K

$199.7K

How much do fabric data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for fabric data engineer in Renton, WA is $145,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $154,700.00 per year, depending on experience, location, and employer.

What is a Fabric Data engineer?

Fabric Data Engineers are professionals who specialize in designing, building, and maintaining data solutions using Microsoft Fabric, an end-to-end analytics platform. They work with data integration, transformation, and storage, ensuring data is accessible and reliable for business intelligence and analytics. Their responsibilities often include setting up data pipelines, integrating multiple data sources, and optimizing data flows for performance and security. Fabric Data Engineers collaborate closely with data analysts, data scientists, and other IT teams to provide robust data infrastructure.

How does a Fabric Data engineer typically collaborate with data analysts and business stakeholders?

As a Fabric Data Engineer, you will regularly partner with data analysts and business stakeholders to understand data requirements, design efficient data pipelines, and ensure data is accessible and reliable for reporting and analytics. Collaboration often involves participating in planning meetings, translating business needs into technical data models, and providing support for troubleshooting data issues. Clear communication and a proactive approach are essential, as you'll be bridging technical solutions with business objectives within cross-functional teams.

What are the key skills and qualifications needed to thrive as a Fabric Data engineer, and why are they important?

To thrive as a Fabric Data Engineer, you need strong skills in data modeling, ETL development, and cloud data platforms, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Fabric, Azure Synapse, SQL, Power BI, and data integration tools, as well as relevant certifications, is highly valuable. Excellent problem-solving, collaboration, and communication skills help bridge the gap between technical teams and business stakeholders. These competencies are crucial for designing efficient data solutions, ensuring reliable analytics, and supporting organizational decision-making.

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

AspectFabric Data EngineerFabric Data Analyst
CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization tools
Work EnvironmentBuilds and maintains data infrastructure in cloud or on-premise environmentsAnalyzes data, creates reports, and visualizations for business insights
Employer & Industry UsageUsed in tech, finance, and enterprise sectors for data engineering rolesCommon in marketing, finance, and business intelligence teams

Fabric Data Engineers focus on designing and maintaining data pipelines and infrastructure, ensuring data availability and quality. Fabric Data Analysts interpret this data, creating reports and visualizations to support decision-making. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Fabric Data Engineer jobs in Renton, WA?

For Fabric Data Engineer jobs in Renton, WA, the most frequently searched job titles are:

What job categories do people searching Fabric Data Engineer jobs in Renton, WA look for?

The top searched job categories for Fabric Data Engineer jobs in Renton, WA are:

What cities near Renton, WA are hiring for Fabric Data Engineer jobs?

Cities near Renton, WA with the most Fabric Data Engineer job openings:

Fabric Data Engineer jobs near you
Infographic showing various Fabric Data Engineer job openings in Renton, 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 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $145,920 per year, or $70.2 per hour.

Software Data Operations Engineer

MAQ Software

Redmond, WA • On-site

$85K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago

Job description

Job Description
Software Data Operations EngineerRedmond, Washington
About MAQ Software
MAQ Software enables leading companies to accelerate their business intelligence and analytics initiatives. Our AI-powered solutions enable clients to improve their productivity, reduce costs, increase sales, and build stronger customer relationships.
Our clients consistently recognize us for providing architecture and governance frameworks using the Well-Architected Framework, implementing best practices to optimize reports, and building team capability through training programs.
Clients choose to work with us because they are confident in our software delivery. Our confidence results from a commitment to consistent outcomes, reduced time to market, and a transparent workflow. Clients benefit from daily software updates, agile practices, domain expertise, AI adoption, and rapid feedback implementation.
As a premier supplier to Microsoft for over two decades, MAQ Software clients gain extensive insights and engineering practices across the Microsoft platform and can improve their implementations with our breadth and depth of expertise.
As one of the top 25 global partners, Microsoft has awarded MAQ Software eight specializations for meeting their highest standards of service delivery to Fortune 500 companies.
With over 1,800 engineers, MAQ Software has globally integrated teams in Redmond, Washington; Plano, Texas; and Noida, Mumbai, and Hyderabad, India, delivering solutions with increased velocity and tech intensity. Our daily delivery and feedback model offers the flexibility to adapt solutions to changing business needs.
MAQ Software's dedication to customer success has led to sustained growth. Inc. magazine has recognized MAQ Software for sustained organic growth by listing us on the Inc. 5000 list twelve times -a rare honor.
Engineering culture
At MAQ Software, we foster a strong engineering culture with a can-do attitude. Our key managers come from excellent educational backgrounds and have significant experience in growing a company and mentoring software engineers. Due to our smaller size, we are agile and able to adopt the latest technologies and computing trends ahead of larger industry players.
As a part of our globally distributed engineering team, our engineers gain exposure to the latest software engineering practices and fast development cycles, providing them with the opportunity to work on challenging technical problems that utilize cutting-edge technologies for fast-paced software delivery. Our collaborative and supportive work environment encourages innovation and growth, making our company an exciting and rewarding place to work.
Examples of our projects:
  • We built an agentic AI solution that redefined event information access for a global technology leader, delivering instant, accurate answers to attendee questions at scale. Using Azure OpenAI Service, Azure AI Search, and Azure Machine Learning, combined with Retrieval-Augmented Generation (RAG), we engineered a secure, multilingual Copilot platform capable of processing data from 22 file formats across multiple sources. Our team leveraged Azure Databricks for advanced data transformation, Azure Front Door for global load balancing, and Microsoft Entra ID with Azure Key Vault for enterprise-grade security. The result: a system that served over 200,000 users, handled millions of interactions, and reduced support requests by 70%, setting a new benchmark for scalable, intelligent, and personalized event experiences.
  • We built a high-performance reporting solution that redefined data refresh efficiency for a leading office supply retailer, delivering near real-time insights and dramatically faster report access. By integrating Snowflake-managed Iceberg tables into Microsoft Fabric via OneLake shortcuts and leveraging Power BI's Direct Lake mode, we built a scalable architecture that eliminated data duplication and significantly reduced latency. Our team leveraged Azure Data Lake Storage for external volume dumps, semantic modeling for streamlined analytics, and Fabric F256 SKU with autoscale for optimized compute. The result: report load times dropped by 80%, refresh cycles shrank from 10 days to minutes, and infrastructure costs fell by 60%, setting a new benchmark for enterprise-grade reporting performance.
  • We helped a global industrial technology leader transform its construction operations by replacing a fragmented, batch-based ERP system with a real-time intelligence solution built on Microsoft Fabric. The previous setup-based on Databricks and Snowflake-struggled with delayed data updates, high maintenance, and siloed systems. By implementing Microsoft Fabric's Real-Time Intelligence capabilities, including Eventstreams, Reflex, and Power BI dashboards, we enabled real-time data ingestion, anomaly detection, and instant insights. The result: 20-30% cost savings, 50% less IT maintenance, and a 10x improvement in data latency. This empowered faster decision-making, proactive issue resolution, and a more agile, data-driven organization.
  • We helped a Fortune 500 office supply retailer modernize its reporting by migrating from MicroStrategy to Power BI. The legacy system was costly and inefficient, requiring over 150 duplicate reports and individual licenses for each user. Our solution consolidated these into just five dynamic Power BI reports, each customizable with bookmarks and filters. By leveraging Snowflake and Import Mode, we delivered a scalable semantic model and a user-friendly experience. The result: reduced license costs, faster reporting, and empowered business users with self-service analytics.
  • We built an AI-powered chatbot for a global manufacturer of industrial test and diagnostic equipment to improve access to project lifecycle management data. Using Azure OpenAI, Azure AI Search, and Azure App Service, the solution indexed documents from SharePoint-including PDFs, Excel files, and dynamic web pages-into a centralized, searchable interface. Power Automate and custom code streamlined data ingestion and processing, while Azure Cosmos DB stored historical interactions. The chatbot enabled employees to retrieve accurate insights quickly, reducing manual effort and improving decision-making. Post-deployment, the client achieved higher productivity, lower operational costs, and seamless access to project data through a single unified interface.

To read about some of our recent projects, visit https://maqsoftware.com/case-studies
Responsibilities
Analyze existing systems (30%)
  • Collect requirement specifications to analyze business processes and determine the exact nature of user's system requirements. Use tools like Microsoft 365 Copilot to summarize stakeholder input and map process flow from documents, emails, and meetings. Collaborate with module leaders and core team members to decide on system architecture.
  • Analyze existing system structures to identify opportunities for migration to cloud-based platforms. Use GitHub Copilot to assist in refactoring legacy code and Microsoft Azure AI services to evaluate cloud readiness and performance benchmarks.
  • Analyze user requirements and align them with available enterprise data sources to design solutions that deliver reliable performance and reasonable cost. Use tools such as GitHub Copilot to assist with query optimization and Azure DevOps MCP Server to validate data lineage and dependencies within project repositories.
  • Design processing steps and recommend system solutions based on user requirements, ensuring clarity and scalability.
Develop specifications and workflow (25%)
  • Prepare software specifications, flow charts, and process diagrams for software programmers to follow. Use GitHub Copilot to generate code templates and automate systems documentation such as design specifications, user manuals, technical manuals, descriptions of application operations, and methodology documentation.
  • Analyze feasibility using commercially available software systems (e.g., Microsoft Azure versus Amazon Web Services) and reporting systems (e.g., Power BI versus Tableau).
Analyze and verify implementation (25%)
  • Collaborate with systems analysts and programmers to develop data migration tools and define operational workflows for new systems.
  • Work with software developers to use GitHub Copilot for accelerating code development.
  • Set up the test environment, use GitHub Copilot to generate test cases, and use Playwright MCP to automate testing and compare data from multiple sources to verify reports for end users.
Review implementation status and reporting (10%)
  • Participate in technical collaboration meetings and periodical reviews of implementation status.
  • Report weekly task plan to the project management team for implementation of custom software.
Training and certifications (10%)
  • Participate in technical training and complete relevant industry courses and certifications.
Qualifications
Undergraduate or graduate degree in Computer Science, Information Systems, Applied Computational Math Sciences, or related engineering discipline.
Benefits
  • Annual salary range ($85,000 - $120,000).
  • Comprehensive medical, dental and vision insurance with employee premiums paid in full.
  • 401(k) retirement plan (company match of 50%, up to 6% of your salary) and immediate vesting.
  • Paid time off (PTO) - up to 3 weeks per year.

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