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Fabric Data Engineer Jobs in Silver Spring, MD (NOW HIRING)

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Sr. Data Engineer

Bethesda, MD · On-site

$113K - $153K/yr

... Fabric, Snowflake, Databricks) and lakehouse architectures (e.g., Delta Lake, Parquet). • ... data engineering, building and operating production data pipelines at scale. preferred • ...

Health IT Data Engineer

Alexandria, VA · Remote

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines ... Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience. * Power BI and Tableau ...

This role operates at the intersection of architecture, engineering, analytics, AI, and mission ... Expert-level knowledge of modern data architectures including lakehouse, data mesh, data fabric ...

This role operates at the intersection of architecture, engineering, analytics, AI, and mission ... Expert-level knowledge of modern data architectures including lakehouse, data mesh, data fabric ...

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Showing results 1-20

Fabric Data Engineer information

See Silver Spring, MD salary details

$46K

$134.1K

$183.5K

How much do fabric data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for fabric data engineer in Silver Spring, MD is $134,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $142,100.00 per year, depending on experience, location, and employer.

What are Fabric Data Engineers?

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 Silver Spring, MD? For Fabric Data Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Fabric Data Engineer jobs in Silver Spring, MD look for? The top searched job categories for Fabric Data Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Fabric Data Engineer jobs? Cities near Silver Spring, MD with the most Fabric Data Engineer job openings:
Infographic showing various Fabric Data Engineer job openings in Silver Spring, MD as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $134,098 per year, or $64.5 per hour.
Sr. Data Engineer - FCP Tech

Sr. Data Engineer - FCP Tech

Federal Capital Partners

Chevy Chase, MD • On-site

$95K - $105K/yr

Full-time

Posted 25 days ago


Job description

Real estate private equity is an exciting industry with the power to shape communities and change the built environment. FCP's technology team is at the forefront of this transformation, leveraging AI, automation, and modern data platforms to drive smarter investment decisions and operational excellence. This role offers a unique opportunity to work directly with firm leadership, industry experts, and cutting-edge tools to make a measurable impact on the business.
FCP is a leading real estate investment company that has invested in or financed more than $12.5 billion in assets since its founding in 1999. We are seeking an experienced Sr. Data Engineer to join our Washington, DC team. This is a rare opportunity to help build and scale a modern data and AI platform at a high-performing real estate private equity firm.
YOUR IMPACT:
As a Sr. Data Engineer, you will support our business lines, clients and investment decisions by:
  • Design and develop AI-assisted data pipelines, semantic models, and Power BI reports to support investment decisions and operations
  • Build, automate, and maintain data ingestion pipelines using Microsoft Fabric Data Factory and Python
  • Develop automated financial data analysis workflows and reporting solutions that leverage AI and machine learning capabilities
  • Integrate and govern disparate financial and operational data sources within FCP's Microsoft Fabric lakehouse environment
  • Lead data quality, reconciliation, and lineage initiatives across investment, financial, and asset management datasets

YOUR QUALIFICATIONS:
  • Bachelor's degree or advanced degree in Engineering or Computer Science with excellent academic credentials
  • Minimum of 4 years of relevant work experience
  • Minimum of 2 years of experience building and deploying data engineering solutions on cloud platforms (Azure preferred)
  • Minimum of 2 years of relevant data analytics work experience
  • Minimum of 2 years of experience with python and associated data libraries
  • Minimum of 2 years of experience with databases & queries
  • Ability to analyze qualitative and quantitative information and translate into strategic deliverables
  • Ability to work independently and within a team
  • Experience working in Microsoft Azure and/or Microsoft Fabric; familiarity with AI services such as Azure OpenAI strongly preferred
  • Excellent written and oral communication skills
  • Experience in presenting ideas and analysis to groups and leadership
  • Motivated self-starter with effective time management skills and strong attention to detail
  • A desire to work within a fast-paced, collaborative, and entrepreneurial environment
  • Experience or previous interest in Real Estate strongly preferred
  • Required Technical Skills:
    • Excel (Complex Formulas, PivotTables, Formatting)
    • Microsoft Fabric (Lakehouse, Data Factory, Notebooks)
    • Python
    • SQL
    • Power BI & DAX
  • Preferred Technical Skills:
    • Azure OpenAI & AI Services
    • Databricks
    • JavaScript/HTML/CSS
    • LangChain or other AI/LLM orchestration frameworks
    • Financial Modeling