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

Senior Principal, Data Engineering

Arlington, VA ยท 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 ...

BI Reporting Engineer

Washington, DC ยท Remote

$117K - $140K/yr

About Data Society Group At Data Society Group, we provide the highest quality, leading-edge ... Fabric, or Databricks). * Report & Dashboard Implementation: Translate documented business ...

BI Reporting Engineer

Washington, DC ยท On-site +1

$129K - $155K/yr

About Data Society Group At Data Society Group, we provide the highest quality, leading-edge ... Fabric, or Databricks). * Report & Dashboard Implementation: Translate documented business ...

Lead a team of Data Architects and Data Engineers in designing conceptual, logical, and physical ... Guide the adoption of modern architectural patterns including lakehouse, data mesh, data fabric ...

New

This is an On\-Site (Full Time) position. \n \n \n \n \n \n \n \n \n The Network Engineer shall ... fabric, data center interconnections, and remote access, which are traversing multiple platforms ...

Showing results 41-60

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 23, 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:

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, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $134,098 per year, or $64.5 per hour.

Senior Principal, Data Engineering

MasterCard

Arlington, VA โ€ข On-site

$144K - $199K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Principal, Data EngineeringOverview:
Mastercard Services Technology is seeking a Senior Principal Data Engineer to help drive our mission of unlocking the full potential of our data assets through innovation, automation, and engineering excellence. This is a highly technical, hands-on individual contributor role focused on building and evolving modern data platforms that enable secure, scalable, and governed access to data across both cloud and on-premises environments.
As a senior technical leader, you will be responsible for designing, building, and optimizing enterprise-scale data platforms across AWS and Azure. You will define architectural standards, champion engineering best practices, and lead the implementation of cloud-native data solutions that support Mastercard's growing data ecosystem. While this role requires strong technical leadership and the ability to influence across teams, it does not include direct people management responsibilities.
The ideal candidate is a builder at heart, someone who enjoys writing code, solving complex engineering challenges, driving platform modernization initiatives, and partnering with globally distributed engineering teams to deliver measurable business impact. If you thrive in a fast-paced environment and are passionate about creating scalable, secure, and future-ready data platforms, this role is for you.
Role:
Design and architect end-to-end cloud-native data platform solutions, including modern lakehouse architectures leveraging AWS (S3) and Azure (Data Lake) with Databricks and related ecosystem tools.
Lead by doing through hands-on development of DevOps capabilities, including CI/CD pipelines, Infrastructure-as-Code, and automated environment provisioning across multi-cloud platforms.
Define and enforce cloud security architecture standards, including IAM design, encryption strategies, network security, and regulatory compliance (e.g., GDPR, HIPAA).
Establish enterprise-grade data governance frameworks covering data cataloging, lineage, classification, and access control using tools such as AWS Lake Formation and Azure Purview.
Architect and deliver scalable data engineering solutions, including ETL/ELT pipelines, data lakes, and data warehouse systems supporting analytics and reporting use cases.
Implement and evolve Medallion Lakehouse architectures (Bronze, Silver, Gold) leveraging AWS services (Glue, Lake Formation) and analytics engines such as Databricks, EMR, and Athena.
Translate complex business requirements into scalable, secure, and maintainable technical solutions in partnership with product, engineering, and analytics stakeholders.
Provide hands-on technical leadership by mentoring engineers and DevOps practitioners, promoting engineering excellence, ownership, and continuous improvement.
Drive operational excellence through proactive monitoring, troubleshooting, and optimization of data platforms for performance, scalability, reliability, and cost efficiency.
Define and document architectural standards, design patterns, and operational best practices to enable consistency and scalability across teams.
Evaluate emerging technologies and industry trends in cloud, data, and DevOps to ensure the platform remains modern, efficient, and future-ready.
Actively participate in architecture reviews, technical design discussions, Agile ceremonies, and iterative planning and estimation sessions while influencing cross-team technical direction.
All About You:
Deep expertise designing, building, and operating enterprise-scale cloud and data platforms.
Hands-on experience with AWS services including S3, EC2, Lambda, Glue, Redshift, EMR, Athena, and Lake Formation.
Hands-on experience with Azure services including Data Factory, Synapse, Fabric, Azure Data Lake, and related technologies.
Strong software engineering background with experience building production-grade cloud-native solutions.
Expertise implementing Infrastructure-as-Code and CI/CD pipelines using Terraform, CloudFormation, Bicep/ARM, Azure DevOps, GitLab CI/CD, or similar tools.
Strong understanding of cloud security architecture, IAM, encryption, governance, and compliance frameworks.
Extensive experience with Spark, PySpark, distributed data processing, and large-scale data engineering systems.
Proficiency in Python and scripting languages such as Bash or PowerShell.
Demonstrated success delivering production-scale Medallion Lakehouse architectures.
Experience with containerization and orchestration technologies including Docker, Kubernetes, ECS, and AKS.
Strong knowledge of observability, monitoring, and logging platforms such as CloudWatch, Azure Monitor, ELK, or Grafana.
Experience implementing cloud cost optimization and FinOps best practices.
Proven ability to influence technical direction, drive consensus, and deliver outcomes across cross-functional teams without direct authority.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard's security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

Arlington, Virginia: $244,000 - $390,000 USDO'Fallon, Missouri: $212,000 - $339,000 USD