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Data Engineering Jobs in Silver Spring, MD (NOW HIRING)

Manager, Data Engineering

Arlington, VA ยท Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Title and Summary Manager, Data Engineering Overview: Mastercard Services Technology is seeking a Manager, Data Engineering to lead the delivery of data solutions that power client engagements across ...

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients ...

Databricks Data Engineering Manager

Rosslyn, VA ยท On-site

$130K - $156K/yr

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients ...

The Data Engineering Team Leader is responsible for innovating, operating, influencing, and delivering systems architectures in support of our business. This position helps shape the technology ...

Senior Manager, Data Engineering

Towson, MD ยท Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Manager, Data Engineering - Remote Towson, MD USA Come make the world and accelerate your success. It takes great people to achieve greatness. People with a sense of purpose and integrity.

Data Engineer

Washington, DC ยท On-site

$80K - $120K/yr

Required Skills and ExperienceBachelor's degree in Data Engineering, Computer Science, Software Engineering, or related field.AWS Data Engineer Associate, AWS Certified Data Analytics, Azure Data ...

Data Engineer

Washington, DC ยท On-site

$80K - $120K/yr

Bachelor's degree in Data Engineering, Computer Science, Software Engineering, or related field. * AWS Data Engineer Associate, AWS Certified Data Analytics, Azure Data Engineer Associate, or ...

We are seeking a Manager of Data Engineering to lead and strengthen our data engineering capabilities within the organization. This role is responsible for driving execution excellence, delivering ...

Head of Enterprise Data Engineering

Baltimore, MD ยท On-site

$178K - $230K/yr

About the Team The Enterprise Data Engineering team is a mission critical function that delivers enterprise capabilities aligned to the data strategy and provides technology enablement for the Chief ...

Showing results 21-40

Data Engineering information

See Silver Spring, MD salary details

$47.6K

$170.6K

$251.7K

How much do data engineering jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineering in Silver Spring, MD is $170,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,000.00 and $175,700.00 per year, depending on experience, location, and employer.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Silver Spring, MD? The most popular types of Data Engineering jobs in Silver Spring, MD are:
What are popular job titles related to Data Engineering jobs in Silver Spring, MD? For Data Engineering jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Silver Spring, MD look for? The top searched job categories for Data Engineering jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Engineering jobs? Cities near Silver Spring, MD with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Silver Spring, MD as of August 2026, with employment types broken down into 84% Full Time, 4% Part Time, and 12% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $170,592 per year, or $82 per hour.

Manager, Data Engineering

MasterCard

Arlington, VA โ€ข Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 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

Manager, Data EngineeringOverview:
Mastercard Services Technology is seeking a Manager, Data Engineering to lead the delivery of data solutions that power client engagements across Test & Learn and other Services products. In this role, you will manage a team of Data Engineers responsible for designing, building, and maintaining scalable data pipelines and enterprise data solutions that enable impactful business insights for clients worldwide.
The Test & Learn team aims to build industry-leading business experimentation software that brings sophisticated analytic techniques to business users around the world. We are rapidly expanding our product offerings and innovating on how we deliver Test & Learn solutions to our clients.
This is a hybrid role based in Arlington, VA, with an expectation of three days per week onsite.
Role:
Lead, mentor, and develop a team of 4-10 Data Engineers, fostering accountability, collaboration, innovation, and continuous learning.
Drive end-to-end delivery of high-quality, scalable data solutions across multiple clients, industries, and concurrent projects.
Own the design, development, automation, and maintenance of large-scale enterprise ETL and data integration pipelines supporting a global client base.
Lead Agile team operations including goal setting, sprint planning, capacity management, work allocation, and retrospectives.
Provide ongoing coaching, performance management, and career development support to team members.
Serve as a technical leader and subject matter expert in data architecture, engineering standards, and solution design.
Partner with analytics teams, product managers, and business stakeholders to translate requirements into scalable data solutions.
Leverage SQL and modern database technologies to optimize performance, streamline processing, and manage large-scale datasets efficiently.
Define and enforce engineering best practices including version control, code reviews, testing frameworks, monitoring, and data quality controls.
Identify and drive automation and process improvement initiatives that enhance efficiency, scalability, and reliability of data delivery.
Build and maintain strong relationships with internal and external stakeholders across global teams and client organizations.
Ensure compliance with Mastercard policies, security standards, and applicable regulatory and regulatory requirements.
All About You:
Proven experience in Data Engineering or a related field, with strong expertise in data architecture, data modeling, database design, and scalable data solutions.
Prior people management experience is preferred. Candidates with strong leadership experience in a team lead or senior individual contributor capacity may also be considered.
Strong track record of delivering complex initiatives while balancing competing priorities and stakeholder needs.
Advanced SQL skills, including performance tuning, query optimization, and large-scale data processing.
Deep hands-on experience with Microsoft SQL Server and relational database technologies.
Experience designing, implementing, and maintaining ETL pipelines and data integration frameworks.
Experience with Databricks, Spark, or modern cloud-based data platforms is a plus.
Interest in emerging engineering productivity tools and AI-assisted development technologies (e.g., GitHub Copilot), with a willingness to explore and adopt new capabilities.
Strong analytical and problem-solving skills, with the ability to think strategically and drive innovation.
Experience managing projects, people, and delivery processes while ensuring quality, accuracy, and operational excellence.
Exceptional communication and stakeholder management skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
Bachelor's degree in Engineering, Computer Science, Mathematics, Finance, Business, or a related quantitative discipline; equivalent practical experience will also be considered.
This role is not eligible for Mastercard's work authorization sponsorship. Candidates must be authorized to work in the United States now and in the future without employer sponsorship.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: $161,000 - $266,000 USD