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Microsoft Fabric Jobs in Reston, VA (NOW HIRING)

Our products our portfolio include Microsoft Fabric, Power BI, Azure Synapse Analytics, Azure SQL Databases, Azure Cosmos Databases, Azure PostgreSQL, Azure Data Factory, Azure Service Bus, Azure ...

Data Solutions Engineer

Washington, DC · On-site

$129K - $155K/yr

... Use Microsoft Fabric to support data engineering, analytics, and business intelligence solutions. • Use Microsoft Power Platform and Logic Apps to support data integration, automation, and ...

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Microsoft Fabric information

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How much do microsoft fabric jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for microsoft fabric in Reston, VA is $25.76, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $30.53 per hour, depending on experience, location, and employer.

What is a Microsoft Fabric?

A Microsoft Fabric job typically refers to roles involving Microsoft's unified data analytics platform, which integrates services like data engineering, data science, real-time analytics, and business intelligence. Professionals in this role work with tools such as Azure Synapse, Power BI, and Data Factory to manage and analyze data efficiently. Responsibilities may include designing data pipelines, optimizing performance, and ensuring seamless data integration across various sources.

What are the key skills and qualifications needed to thrive in Microsoft Fabric?

To thrive in a Microsoft Fabric Developer or Architect role, you need a solid background in data engineering, analytics, and Microsoft cloud services, with a strong understanding of the Microsoft Fabric platform. Experience with tools like Azure Data Factory, Power BI, Synapse Analytics, and certifications such as Microsoft Certified: Fabric Analytics Engineer Associate are highly valuable. Excellent problem-solving, collaboration, and communication skills help navigate complex projects and engage with cross-functional teams. These competencies ensure effective design, development, and implementation of robust data solutions on the Microsoft Fabric platform.

What are some common challenges faced by professionals working with Microsoft Fabric, and how can they be overcome?

Professionals in Microsoft Fabric roles often encounter challenges related to integrating data from diverse sources, ensuring data security, and optimizing analytics performance at scale. Staying updated with the rapidly evolving features of the Microsoft Fabric ecosystem, as well as maintaining strong documentation and governance, is crucial. Collaborating closely with data scientists, business analysts, and IT administrators helps address these challenges more efficiently. Proactively seeking training and leveraging Microsoft’s support resources can also help overcome technical hurdles in this dynamic environment.

Is Microsoft Fabric a good career?

Microsoft Fabric is a data analytics platform that offers opportunities for professionals skilled in data engineering, cloud services, and software development. Careers in this field typically require knowledge of cloud platforms, programming, and data management tools, and can provide growth in the technology industry. Job prospects depend on experience, certifications, and the demand for data solutions in organizations.

What are Microsoft Fabric jobs?

Microsoft Fabric jobs typically refer to roles involved in developing, managing, or supporting Microsoft Fabric, a distributed systems platform used for building scalable and reliable applications. These positions often require skills in cloud computing, software development, and familiarity with Microsoft Azure services. Job responsibilities may include system architecture, deployment, and troubleshooting within the Microsoft ecosystem.

What can I do with Microsoft Fabric?

Microsoft Fabric is a distributed systems platform used to build scalable, reliable applications and microservices. It provides tools for managing service lifecycle, state, and communication, enabling developers to create high-availability solutions with features like health monitoring and automatic failover. Familiarity with cloud environments and programming in languages such as C# or .NET is beneficial for working with Microsoft Fabric.

What are the most commonly searched types of Microsoft Fabric jobs in Reston, VA?

The most popular types of Microsoft Fabric jobs in Reston, VA are:

What are popular job titles related to Microsoft Fabric jobs in Reston, VA?

For Microsoft Fabric jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Microsoft Fabric jobs in Reston, VA look for?

The top searched job categories for Microsoft Fabric jobs in Reston, VA are:

What cities near Reston, VA are hiring for Microsoft Fabric jobs?

Cities near Reston, VA with the most Microsoft Fabric job openings:

Infographic showing various Microsoft Fabric job openings in Reston, VA as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $53,577 per year, or $25.8 per hour.

Software Engineer - CTJ - Poly

Microsoft

Reston, VA • On-site

Full-time

Re-posted 18 hours ago


Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

78th of 245 rated software companies


Job description

Overview
Microsoft has an exciting opportunity for a Software Engineer in the Cloud+AI Azure Data Team. 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 analytics, and business intelligence. Our products our portfolio include Microsoft Fabric, Power BI, Azure Synapse Analytics, Azure SQL Databases, Azure Cosmos Databases, Azure PostgreSQL, Azure Data Factory, Azure Service Bus, Azure Event Grid. Our mission is to build a data platform for the age of AI, powering a new class of data-first applications and driving a data culture. This team will be responsible for deploying and operating our Azure Data services in a Secure Work Area, including the infrastructure for collaboration within an Air-Gapped environment.
In this role, you will have the opportunity to work with engineers who enable a broad set of Azure services to be consumed by internal and external customers in highly secure and regulated industries. The systems and software you build will be required to meet the security policy and assurance requirements of both public and private sector customers.
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
AI-Native Development
  • Uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner. Takes responsibility for the content of their AI-generated changes to artifacts, reviewing all changes and applying appropriate tooling and processes with minimal guidance.

Coding
  • Supports efforts to use debugging, tests, tools, logs, telemetry, and other methods to proactively verify assumptions before issues occur for product features in production. Conducts incident retrospectives to identify root causes of problems, implements repair actions, and identifies mechanisms to prevent incident recurrence with minimal supervision. Under minimal guidance, applies least-access principles, and uses logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security.

  • Reviews product feature code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product feature. Contributes to bringing insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers' skills with minimal guidance. Contributes to code reviews in a timely fashion that helps accelerate the pace of development on the team. Considers diagnosability, reliability, testability, and maintainability when reviewing code and understands when code is ready to be shared or delivered. Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews. Uses automated source code analysis tools that are incorporated into the build/development process with minimal supervision.

  • Creates and implements code for a product, service, or feature, reusing code as applicable with minimal supervision. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to write code (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions). Escalates identified blockers or unknowns during the development process, communicates how they will impact timelines, and contributes to identifying strategies and/or opportunities to address them with minimal supervision.

Design
  • Understands and provides feedback for proposals for architecture, with technical leadership from others. With minimal supervision, tests and explores various design options for a product/solution feature, outlining strengths and weaknesses of each option. Collaborates with architects with minimal supervision to build and modify a product/solution feature, providing feedback as needed. Begins to own or collaborate with other engineers on the architecture of solutions, following technical leadership as applicable. Contributes to the development of design documents that support user stories and other product requirements with oversight. Develops an awareness of the current technology landscape. Escalates and shares findings from investigations with the team and owns some design decisions. Helps to ensure system architecture and individual designs meet performance, scalability, resiliency, cost of goods sold (COGS), and other requirements and expectations. Upholds Microsoft standards of security, privacy, and other compliance requirements and expectations. Understands the importance of building solutions that expand upon the work of others. Contributes to the refinement of product features by escalating findings from analyses to inform decisions regarding the engineering of products.

  • Creates a clear test strategy that ensures solution quality, prevents regression from being introduced into existing code with minimal supervision. Executes test plans that incorporate security testing to validate security invariants (including negative cases) with minimal supervision. Adds new tests to cover gaps, deleting or fixing broken tests, improving the speed, reliability, and defect localization of tests in the feature area. Builds testable code and considers testability during design for a set of features with minimal guidance. Understands the different types of tests that can be done on a particular system (e.g., unit tests), and maintains up-to-date understanding of testing architectures used both across Microsoft and across the industry. Leverages artificial intelligence (AI) tools for test automation with minimal supervision.

  • Contributes to identifying dependencies, and incorporates them into the development of design documents for a product area with little oversight. Helps to actively identify other teams and technologies to leverage, how they interact, and where their own system or team can support others. Understands downstream interactions between systems. Contributes to collaborating with other teams to reach common goals where dependencies and validation concerns overlap.

Engineering Excellence
  • Contributes to the identification of requirements for, and development of automation within production and deployment of a complex product feature, targeting zero-touch deployment when possible. Runs code in simulated, or other non-production environments to confirm functionality and error-free runtime for products with little to no oversight.

  • Applies best practices to build code based on well-established methods and secure design principles while also applying best practices for new code development and formal validation of security invariants. Follows best practices for product development and scaling to customer requirements, and applies best practices for meeting scaling needs and performance expectations and security promises.

  • Builds knowledge, shares new ideas, and shares pinpoints of engineering tool gaps to improve software developer tools to support easier, faster, and more effective software engineering for complex product features. Identifies whether open source or internal code is available to address coding needs for a set of product features, and reuses it in a responsible manner where applicable. Develops higher-level awareness of tools outside current areas of expertise. Helps to identify and/or create tools that are useful for building the product, determining if methods are still applicable for the current solution.

  • Understands and applies security best practices and establishes code invariants to model "security as code," ensuring each layer is independently secure, and minimizing risk with minimal supervision. Adopts security standards for clear security code review practices for a set of product features that align with design and engineering principles to raise the security hardening for both protections and detections. Contributes to incorporating deployment gates on security controls, and scanners for a set of product features to prevent regressions and/or vulnerabilities that would have customer impact. Includes required security monitoring to ensure detection of violations with minimal guidance. With minimal supervision, works with relevant security partners to define security promises and security invariants while factoring in attacker/investigator personas for security monitoring and telemetry needs, ensure threat models and premortems validate upstream and downstream assumptions and security invariants, establish security breach drills and security incident response processes (e.g., impact analysis, containment), and ensure that artificial intelligence (AI) safety features are implemented for the AI production systems tied to a set of product features.

  • Contributes to efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. Checks for visible evidence (e.g., audit trail) to demonstrate compliance for product areas. Develops and holds an understanding of the implications of onboarding new technologies following expectations of compliance at Microsoft. Demonstrates and maintains an up-to-date understanding of both global and local regulations for technologies and system applications to ensure regulations are met.

  • Works with partner teams to ensure a set of product features work well with the components of the partner team with minimal supervision, contributing to efforts to ensure proper end-to-end testing, live-site coverage, scalability, performance, and DRI escalation pathways are established before going live.

  • Remains current in skills by investing time and effort into being informed of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale. Conducts learning and literary sessions to raise awareness on relevant engineering design principles (e.g., security, testability, performance, scalability, accessibility, product knowledge) with minimal guidance.

Implement
  • Reviews work items to deepen knowledge of product features in partnership with appropriate stakeholders (e.g., technical program managers) and executes project plans, release plans, and work items. Contributes to efforts to break down larger work items into smaller work items and providing estimation. Escalates issues that might cause a delay. Ensures required security protections and detection processes are accounted for in planning with minimal guidance. Contributes to ensuring project plans adhere to security, privacy, and compliance requirements. Ensures all code for a set of product/solution features is properly flighted for quicker mitigation of production incidents with minimal supervision. Calculates capacity for planning, accounting for appropriate failover and backup/restore mechanisms for disaster recovery for a set of features with minimal guidance. Makes considerations for efficient operation of a set of features after it is live with minimal supervision. Contributes to establishing a rollback plan for a set of features.

  • Learns about and supports deployment to customers by following the correct measures to push features out to customers. Follows safe change deployment practices (e.g., ensuring that flights are set correctly) for their team to minimize adverse impact to users and other services with managerial guidance. Learns about and applies best practices for the deployment of features safely with managerial oversight and/or guidance from more experienced peers. Contributes to monitoring dependency status and ensuring that only the latest, secure versions are deployed. Identifies when rollback plans should be enacted for a product feature with direct supervision. Contributes to building deployment infrastructure to allow developers' private builds for a product feature to be tested in a production-like environment.

  • Leveraging internal experimentation infrastructures, conducts experiments that determine the impact of changes, using feature flags/flighting in their code. Collaborates with internal partners (e.g., Data Science, product managers) to incorporate success and guard rail metrics for experimentation with minimal guidance.

Reliability and Supportability
  • Maintains operations of live site service, following security best practices when responding quickly to mitigate issues while using the minimum required permissions to do so that arise on a rotational, on-call basis. Identifies solutions and mitigations to simple issues and complex issues when applicable impacting performance or functionality of live site services and escalates appropriately. With minimal supervision, improves troubleshooting guides (TSGs), wikis, tests, and telemetry to make on-call better, and recommends user-facing support documentation and additional test coverage to reduce likelihood of future user-initiated incidents. Contributes to enabling secure operations, security monitoring, and integration with live site investigation activities with minimal oversight. Identifies and proposes opportunities (e.g., lunch talks, automation, practices, tools) that can be leveraged to improve the live site experience with minimal guidance.

  • Identifies areas to contribute to efforts to integrate logging and instrumentation for gathering telemetry data on system behavior such as performance, reliability, availability, usage, and safety mechanisms, and for allowing monitoring and investigating security-related concerns and scenarios for both live and A/B experiments for

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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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