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

Databricks Data Engineering Manager

Rosslyn, VA ยท On-site

$130K - $156K/yr

In this leadership role, you will be responsible for managing teams, building client relationships, and driving the strategic direction of our services across data engineering, business intelligence ...

Director, Data Engineering The Director of Data Engineering for Navigate360 leads the team ... Collaborate closely with Launch and Partner Success teams to align implementation plans, manage ...

Director, Data Engineering The Director of Data Engineering for Navigate360 leads the team ... Collaborate closely with Launch and Partner Success teams to align implementation plans, manage ...

Director, Data Engineering The Director of Data Engineering for Navigate360 leads the team ... Collaborate closely with Launch and Partner Success teams to align implementation plans, manage ...

Data Engineer

Herndon, VA ยท 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 ...

Data Engineer

Herndon, VA ยท 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 ...

Data Engineer

Herndon, VA

$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 ...

Data Engineer

Chantilly, VA ยท 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 ...

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Showing results 1-20

Manager Data Engineering information

See Chantilly, VA salary details

$31.7K

$99.5K

$176.1K

How much do manager data engineering jobs pay per year?

As of Aug 30, 2026, the average yearly pay for manager data engineering in Chantilly, VA is $99,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $128,500.00 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 the most commonly searched types of Data Engineering jobs in Chantilly, VA?

The most popular types of Data Engineering jobs in Chantilly, VA are:

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

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

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

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

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

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

Infographic showing various Manager Data Engineering job openings in Chantilly, VA as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $99,457 per year, or $47.8 per hour.

Technical Program Manager, Data Engineering

Bloomberg Industry Group

Arlington, VA โ€ข On-site

$150K - $180K/yr

Full-time

Posted 22 days ago


Job description

Leads a team of data engineers responsible for building, scaling, and maintaining enterprise data platforms and pipelines. Oversees technical programs, data engineering initiatives, stakeholder alignment, operational excellence, and engineering best practices to deliver reliable, high-quality data solutions supporting analytics, reporting, machine learning, and business decision-making.What you will do:

Team Leadership & Talent Development

  • Lead, mentor, and develop a team of data engineers, fostering a culture of accountability, innovation, and continuous improvement.

  • Establish team objectives, performance expectations, and career development plans.

  • Recruit, onboard, and retain top engineering talent.

  • Driving engineering best practices, technical standards, and operational excellence.

Program & Project Management

  • Own the planning, prioritization, and execution of complex data engineering initiatives.

  • Develop and maintain program roadmaps aligned with organizational and business objectives.

  • Manage dependencies, risks, timelines, resources, and stakeholder communications across multiple initiatives.

  • Ensure projects are delivered on time, within scope, and meet quality standards.

Technical Leadership
  • Partner with architects and engineering teams to design scalable, secure, and high-performance data solutions.

  • Guide the implementation of modern data platforms, ETL/ELT pipelines, data lakes, warehouses, and streaming architectures.

  • Ensure data engineering solutions follow best practices for reliability, observability, governance, and security.

  • Support architectural reviews and technical decision-making processes.

Stakeholder Management
  • Partner closely with business leaders, product managers, analytics teams, data scientists, and platform engineering teams.

  • Translate business requirements into executable technical programs.

  • Communicate program status, risks, and outcomes to leadership and executive stakeholders.

  • Drive alignment across technical and business teams.

Operational Excellence
  • Define and monitor key performance indicators (KPIs) and service-level objectives (SLOs) for data platforms.

  • Lead incident response, root cause analysis, and continuous improvement efforts.

  • Implement processes that improve data quality, operational efficiency, and system reliability.

  • Drive automation and optimization of engineering workflows.

Required Qualifications
  • 5+ years of experience in technology, data engineering, software engineering, or program management.

  • 3+ years of experience leading engineering teams or managing technical programs.

  • Strong analytical, organizational, and communication skills.

  • Strong understanding of data engineering concepts, including:

    • Data warehousing

    • ETL/ELT development

    • Data modeling

    • Data governance

    • Batch and real-time processing

    • Data quality management

Compensation Range:

$150,000.00-$180,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.


Equal Opportunity


Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law ("Protected Characteristic"). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics ("Discrimination").