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

Aprio

Business Intelligence Architect

Baltimore, MD · On-site

Collaborate with IT and data engineering to evaluate and implement natural language query interfaces, including Power BI Q&A, Copilot for Microsoft 365, and Azure OpenAI Service connections to Fabric ...

BakerHostetler

Data Solutions Engineer

Washington, DC

$129K - $155K/yr

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

eSolutionsFirst, LLC

Senior Databricks Engineer

Mclean, VA · On-site

$107K - $147K/yr

Azure Data Engineer or Databricks certifications. * Experience with Snowflake, Azure Synapse, or Microsoft Fabric. * Experience implementing data governance and security best practices. * Financial ...

McBride

Power BI Developer

Arlington, VA · Remote

$125K - $140K/yr

Partnering with business stakeholders to understand reporting requirements Working alongside the Data Engineering team within Microsoft Fabric. Develop AI-enabled reporting experiences using Copilot ...

MasterCard

Senior Principal, Data Engineering

Arlington, VA · On-site

$144K - $199K/yr

Mastercard Services Technology is seeking a Senior Principal Data Engineer to help drive our ... Hands-on experience with Azure services including Data Factory, Synapse, Fabric, Azure Data Lake ...

Hyertek

Sr. Analytics Engineer

Rockville, MD · On-site

$135K - $155K/yr

DP-203 (Azure Data Engineer), DP-600 (Fabric Analytics Engineer), PL-300 (Power BI Data Analyst), or DP-300 (Database Administrator). HyerTek offers a comprehensive benefits package, including:

HyerTek

Sr. Analytics Engineer

Rockville, MD · On-site

$135K - $155K/yr

DP-203 (Azure Data Engineer), DP-600 (Fabric Analytics Engineer), PL-300 (Power BI Data Analyst), or DP-300 (Database Administrator). HyerTek offers a comprehensive benefits package, including:

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All JobsFabric Data Engineer JobsFabric Data Engineer Jobs in Silver Spring, MD

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 Aug 8, 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 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 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:
Fabric Data Engineer jobs near you
Infographic showing various Fabric Data Engineer job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,098 per year, or $64.5 per hour.

Data Engineer (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

$117K - $140K/yr

Full-time

Retirement, PTO

Re-posted 13 days ago

Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
U.S. Citizenship is Required.
Position Overview:
Praescient Analytics is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines supporting advanced fraud analytics and investigative solutions for a federal oversight organization. This individual will play a critical role in ensuring diverse data sources are efficiently ingested, transformed, governed, and made available for analytics, machine learning, graph analytics, and investigative support.
The ideal candidate is a hands-on engineer who enjoys solving complex data integration challenges while building modern cloud-native data pipelines that prioritize quality, reliability, scalability, and performance. They understand that high-quality analytics begin with high-quality data and are committed to developing robust data engineering solutions that enable timely, accurate, and defensible analytic products.
Key Responsibilities:
  • Design, develop, maintain, and optimize scalable ETL pipelines supporting advanced analytics and investigative workloads.
  • Ingest, transform, and integrate structured and unstructured data from diverse sources including flat files, JSON, XML, Excel, APIs, graph databases, relational databases, and other evolving data formats.
  • Develop and optimize data pipelines supporting both streaming and batch ingestion frameworks.
  • Manage, organize, and optimize data within modern cloud-based analytics platforms, including Databricks Unity Catalog, SQL Server managed instances, and Lakehouse architectures.
  • Develop efficient SQL and Python-based data transformation processes that support downstream analytics, machine learning, graph analytics, and business intelligence solutions.
  • Implement data quality validation, lineage tracking, metadata management, and monitoring processes to ensure data reliability and integrity throughout the analytics lifecycle.
  • Collaborate with Data Scientists, Graph Data Scientists, Investigative Analysts, Forensic Accountants, and Project Managers to understand data requirements and support analytic initiatives.
  • Troubleshoot pipeline failures, optimize performance, and continuously improve scalability, reliability, and maintainability of enterprise data solutions.
  • Support enterprise data governance by implementing data management standards, documenting data assets, and ensuring compliance with enterprise data management (EDM) policies.
  • Contribute to data architecture improvements, ingestion strategies, and modernization efforts that enhance overall analytic capabilities.

Required Qualifications:
  • Must have experience with Fraud Analysis
  • Three (3) or more years of professional experience in data engineering or a related technical field.
  • Demonstrated experience designing, building, maintaining, and optimizing scalable ETL pipelines across diverse data sources.
  • Strong SQL and Python programming skills, or equivalent technologies, for data ingestion, transformation, and processing.
  • Experience ingesting and transforming data from flat files, JSON, XML, Excel, APIs, graph databases, relational databases, and other structured and unstructured data sources.
  • Experience loading, managing, and optimizing data within Databricks Unity Catalog, SQL Server managed instances, or comparable cloud-based data platforms.
  • Experience working with streaming and batch ingestion frameworks and modern Lakehouse architectures.
  • Demonstrated ability to implement data quality controls, lineage tracking, reliability monitoring, and performance optimization processes.
  • Familiarity with enterprise data governance, enterprise data management (EDM), metadata management, and data quality best practices.
  • Strong analytical, problem-solving, written, and verbal communication skills.

Preferred Qualifications:
Preference will be given to candidates with demonstrated experience in one or more of the following areas:
  • Supporting fraud detection, anomaly detection, financial oversight, program integrity, or investigative analytics environments.
  • Building cloud-native data engineering solutions utilizing Azure Databricks, Azure Data Lake Storage (ADLS), Microsoft SQL Server, Microsoft Fabric, Azure Synapse Analytics, Power BI, Neo4j, Git repositories, or comparable cloud data platforms.
  • Developing scalable data pipelines supporting machine learning, artificial intelligence (AI), graph analytics, natural language processing (NLP), or advanced analytics solutions.
  • Working with public, non-public, commercial, financial, law enforcement, or cross-agency datasets supporting fraud detection and investigative missions.
  • Designing and implementing Lakehouse architectures, Delta Lake, data partitioning strategies, and performance optimization techniques for large-scale analytics environments.
  • Developing automated data quality validation, metadata management, lineage tracking, schema evolution, and monitoring capabilities.
  • Supporting enterprise data governance initiatives, data catalogs, master data management, and compliance with organizational data standards.
  • Utilizing orchestration and workflow tools such as Apache Spark, Databricks Workflows, Azure Data Factory, Airflow, or comparable pipeline automation technologies.
  • Collaborating within Agile software development teams using Git-based version control, sprint planning, backlog management, and continuous integration/continuous deployment (CI/CD) practices.
  • Supporting Offices of Inspector General (OIGs), federal oversight organizations, law enforcement agencies, or other government data modernization initiatives.

What We're Looking For:
We're looking for a data engineer who is passionate about building reliable, scalable data foundations that power advanced analytics. The ideal candidate enjoys working with complex data ecosystems, solving integration challenges, and continuously improving the quality, performance, and accessibility of enterprise data. They understand that trustworthy analytics depend on trustworthy data and take pride in developing robust engineering solutions that enable investigators and analysts to uncover fraud, waste, abuse, and emerging risks with confidence.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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