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Manager Data Engineering Jobs in Leesburg, VA (NOW HIRING)

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

... management, and delivery of structured, semi-structured, and unstructured data. This position applies data engineering best practices to support enterprise ontologies, knowledge graphs, Semantic Web ...

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

... management, and delivery of structured, semi-structured, and unstructured data. This position applies data engineering best practices to support enterprise ontologies, knowledge graphs, Semantic Web ...

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

... management, and delivery of structured, semi-structured, and unstructured data. This position applies data engineering best practices to support enterprise ontologies, knowledge graphs, Semantic Web ...

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

... management, and delivery of structured, semi-structured, and unstructured data. This position applies data engineering best practices to support enterprise ontologies, knowledge graphs, Semantic Web ...

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions * Design and manage cloud-based data architectures that are secure, scalable, and cost ...

KDA Consulting Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions * Design and manage cloud-based data architectures that are secure, scalable, and cost ...

KDA Consulting Inc

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions * Design and manage cloud-based data architectures that are secure, scalable, and cost ...

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions * Design and manage cloud-based data architectures that are secure, scalable, and cost ...

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

Deliver on projects in the areas of data management, data governance, dashboard monitoring, DQ ... Experience programming in Python, SQL, and/or R. * Experience using GitHub (e.g., source code ...

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

Deliver on projects in the areas of data management, data governance, dashboard monitoring, DQ ... Experience programming in Python, SQL, and/or R. * Experience using GitHub (e.g., source code ...

CyberMedia Technologies

Data Engineer

Mclean, VA

$115K - $139K/yr

Familiarity with data governance, metadata management, and data security best practices. * Experience with source control and CI/CD pipelines for data engineering and Databricks workflows. * Working ...

Fantom Corporation

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Develop robust Python applications and automation scripts to support data engineering initiatives * Deploy and manage data pipelines using workflow orchestration platforms such as AWS Step Functions ...

Capital One

Manager, Data Science

Mclean, VA · On-site +1

Exercising discretion at a more senior level, partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love. Leverage a broad ...

Capital One

Manager, Data Science

Mclean, VA · On-site

Exercising discretion at a more senior level, partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love. Leverage a broad ...

NewGen

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

They will be responsible for all workflows, configuration, and management of a Palantir-based application. The Data Engineer will also integrate with external systems via API, parse API responses ...

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All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Leesburg, VA

Manager Data Engineering information

See Leesburg, VA salary details

$31.4K

$98.3K

$174K

How much do manager data engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager data engineering in Leesburg, VA is $98,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $126,900.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are popular job titles related to Manager Data Engineering jobs in Leesburg, VA?

For Manager Data Engineering jobs in Leesburg, VA, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Leesburg, VA look for?

The top searched job categories for Manager Data Engineering jobs in Leesburg, VA are:

What cities near Leesburg, VA are hiring for Manager Data Engineering jobs?

Cities near Leesburg, VA with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Leesburg, VA as of July 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $98,259 per year, or $47.2 per hour.

Senior Manager, Data Engineering (Enterprise Platforms Technology)

Capital One

Mclean, VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks

Job description

Senior Manager, Data Engineering (Enterprise Platforms Technology)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Sr. Data Engineers who are passionate about data, data modeling, data quality, governance and permissible use and building data pipelines with emerging technologies. As a Capital One Senior Manager in Data Engineering, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
Team:
The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.
What You'll Do:
  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies
  • Work, as a lead developer, with a team of developers with deep experience in data movement, distributed computing, and full stack systems
  • Utilize programming languages like Python, SQL and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Snowflake, Databricks
  • Optimize information system for end-user and downstream application consumers by using sound data design practices
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:
  • Bachelor's Degree
  • At least 6 years of experience in application development (Internship experience does not apply)
  • At least 2 years of experience in big data technologies
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • At least 4 years of people management experience

Preferred Qualifications:
  • Master's Degree
  • 9+ years of experience in application development including Python, SQL, Spark, ETL tools, AWS Glue
  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 5+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL)
  • 4+ years of experience working on real-time data and streaming applications
  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 4+ years of data warehousing experience (Redshift or Snowflake)
  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting
  • 4+ years of experience with data modeling for data warehousing
  • 2+ years of experience with Agile engineering practices
  • 6+ years of people management experience
  • 1+ years of experience leveraging AI-assisted coding tools (Claude Code, GitHub Copilot) to accelerate the software delivery

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $229,900 - $262,400 for Sr. Mgr, Data Engineering
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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