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Manager Data Engineering Jobs in Virginia (NOW HIRING)

Data Engineer

Dahlgren, VA ยท On-site

$116K - $140K/yr

Design data architectures and managed data stores that support analytics, feature engineering, model training, and real-time inference. * Develop solutions using AWS services such as AWS Glue, Amazon ...

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 ...

Data Engineer

Herndon, VA ยท 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 ...

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 ...

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 ...

Data Engineer

Mclean, VA ยท 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 ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions. Your ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions. Your ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions. Your ...

Data Engineer (BigQuery)

Reston, VA ยท On-site

$119K - $143K/yr

... as an engineering discipline, and you can work comfortably within the access controls and ... Develop and manage data models, schemas, and transformation logic using dbt (data build tool), SQL ...

Data Engineer (BigQuery)

Reston, VA ยท On-site

$119K - $143K/yr

... as an engineering discipline, and you can work comfortably within the access controls and ... Develop and manage data models, schemas, and transformation logic using dbt (data build tool), SQL ...

Data Engineer (BigQuery)

Reston, VA ยท On-site

$119K - $143K/yr

... as an engineering discipline, and you can work comfortably within the access controls and ... Develop and manage data models, schemas, and transformation logic using dbt (data build tool), SQL ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions. Your ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions. Your ...

Design and implement ETL/ELT processes using Microsoft Fabric, Azure technologies, and modern data engineering practices. * Integrate data from ERP, CRM, operational systems, cloud applications, APIs ...

Showing results 21-40

Manager Data Engineering information

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 Virginia?

The most popular types of Data Engineering jobs in Virginia are:

What are popular job titles related to Manager Data Engineering jobs in Virginia?

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

What job categories do people searching Manager Data Engineering jobs in Virginia look for?

The top searched job categories for Manager Data Engineering jobs in Virginia are:

What cities in Virginia are hiring for Manager Data Engineering jobs?

Cities in Virginia with the most Manager Data Engineering job openings:

Infographic showing various Manager Data Engineering job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Data Engineer

Dahlgren, VA โ€ข On-site

Delaware Nation Industries
501 - 1,000 employees

$116K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 18 days ago


Job description

DNI is seeking a highly qualified Data Engineer to support the Joint Warfare Analysis Center (JWAC) under Air Force JWAC IT Services (JITS) Task Order 2. The Data Engineer will design, implement, secure, monitor, and optimize cloud-native data engineering solutions that support data science, artificial intelligence/machine learning (AI/ML), agentic services, hosted models, and large language model (LLM) optimization. The role integrates data engineering, FinOps, Zero Trust security, and AI/ML infrastructure responsibilities within a single position.
This position is expected to work onsite at JWAC in Dahlgren, Virginia, supporting a TS/SCI/SAP environment.
Responsibilities
  • Design, build, troubleshoot, and tune end-to-end cloud-native data engineering solutions using AWS platform and software services.
  • Develop and administer data ingestion, ETL, integration, transformation, validation, publication, and lifecycle-management workflows.
  • Integrate structured and unstructured data from databases, web services, message traffic, data dumps, documents, and other sources.
  • Design data architectures and managed data stores that support analytics, feature engineering, model training, and real-time inference.
  • Develop solutions using AWS services such as AWS Glue, Amazon Athena, Amazon Redshift, Amazon Kinesis, AWS Lake Formation, AWS Glue Data Catalog, Amazon RDS, Amazon Aurora, and Amazon DynamoDB.
  • Create REST APIs and web services to expose data to JWAC-developed applications and analytical systems.
  • Support AI/ML infrastructure, including model hosting, model-ready datasets, agentic workflow orchestration, retrieval-augmented generation (RAG), and LLM integration and optimization.
  • Develop automation, monitoring, alerting, and self-healing capabilities using AWS-native tools such as Amazon CloudWatch and AWS CloudTrail.
  • Implement data discovery and search capabilities using services such as Amazon OpenSearch Service, AWS Glue Data Catalog, and Amazon Kendra.
  • Apply FinOps practices, including resource tagging, cost allocation, right-sizing, storage tiering, query optimization, budget monitoring, cost-per-workload analysis, and AI/LLM cost tracking.
  • Implement DoD Zero Trust and NIST SP 800-53 Rev. 5 security controls across data engineering and AI service environments.
  • Configure identity and access management, least-privilege access, encryption at rest and in transit, network segmentation, certificate management, and security monitoring.
  • Support security assessments, compliance documentation, data-flow diagrams, control mappings, and authorization activities.
  • Gather requirements, evaluate data sources, communicate technical recommendations, and document architecture, processes, costs, risks, and implementation decisions.
  • Develop briefings, technical proposals, operating procedures, user documentation, training materials, and knowledge-transfer products.
  • Collaborate with Government stakeholders, data scientists, analysts, cybersecurity personnel, cloud engineers, and other technical teams.

Requirements
  • Bachelor of Science degree in computer science, computer engineering, data engineering, data science, or a related technical discipline.
  • At least three years of full-time experience in computer science, data engineering, or data science, including hands-on software development lifecycle experience.
  • Recent experience designing or implementing data engineering solutions or cloud-native systems on AWS.
  • At least one year of experience with cloud-native data warehouse or analytics platforms, such as Amazon Redshift, Amazon Athena, AWS Glue Data Catalog, or AWS Lake Formation.
  • At least one year of experience supporting data science applications and analytical tools such as Python, Jupyter, Amazon SageMaker Studio, AWS Glue DataBrew, or Amazon QuickSight.
  • Experience preparing data for data scientists, including data preparation, feature engineering, and model-ready dataset construction.
  • At least one year of experience implementing cloud-native data security controls, including IAM, encryption, and network segmentation.
  • Ability to meet DoD 8140.03 requirements for the applicable work roles, including Primary Work Role 422 - Data Architect (Intermediate).
  • Ability to obtain and maintain the required TS/SCI/SAP access.
  • Ability to work onsite in Dahlgren, Virginia, during established core hours and support scheduled maintenance activities as required.
Preferred Qualifications
  • Experience with Amazon Bedrock, Knowledge Bases, RAG architectures, agentic services, or LLM prompt and token optimization.
  • Experience with AWS Security Hub, Amazon GuardDuty, AWS KMS, AWS IAM Identity Center, and AWS Certificate Manager.
  • Experience applying NIST SP 800-53 Rev. 5 and DoD Zero Trust Architecture principles.
  • Experience with FinOps dashboards and tools such as AWS Cost Explorer, AWS Budgets, and AWS Cost and Usage Reports.
  • Experience with data discovery, federated search, geospatial or non-geospatial search, and knowledge-management solutions.
  • Experience supporting classified or highly regulated Department of Defense environments.
  • AWS certifications, data engineering certifications, or relevant DoD cybersecurity certifications.

Benefits
Benefits Include:
  • Covers 100% of employee benefit premiums, including Medical (PPO or HDHP Option), Vision, Dental
  • Matching 401K
  • Short- and Long-Term Disability
  • Pet Insurance
  • Professional Development/Education Reimbursement
  • Parking and Transit Benefits for NY, NJ, ATL, and DC Metro areas

Other Duties:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Salary Compensation: $150,000-$220,000