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Data Services Manager Jobs in Virginia (NOW HIRING)

540

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Experience implementing data quality, automated testing, monitoring, lineage, or metadata-management capabilities * Experience working with Databricks and cloud-based data services in AWS, Azure, or ...

ECS

Data Scientist

Springfield, VA · On-site

Design and develop data services and/or pipelines as part of an Agile/Scrum team * Work with program management and engineers to implement and document complex and evolving requirements * Perform ...

540

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Experience implementing data quality, automated testing, monitoring, lineage, or metadata-management capabilities * Experience working with Databricks and cloud-based data services in AWS, Azure, or ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Build and manage ETL pipelines for ingesting, transforming, and delivering structured and unstructured data * Develop and integrate APIs and data services to support enterprise analytics platforms

frc

Daily management of census data * Obtain complete and accurate data for claim/statement creation ... Must possess excellent customer service skills * Must be able to work in a fast paced, high ...

NTT DATA Services

Project Manager

Norfolk, VA · On-site

$75K - $113K/yr

We are currently seeking a Project Manager to join our team in Norfolk, Virginia (US-VA), United ... About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of ...

NTT DATA Services

Program Manager

Arlington, VA

$117K - $195K/yr

We are currently seeking a Program Manager to join our team in Arlington, Virginia (US-VA), United ... About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of ...

NTT DATA Services

Project Manager

Norfolk, VA · On-site

$75K - $113K/yr

We are currently seeking a Project Manager to join our team in Norfolk, Virginia (US-VA), United ... About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of ...

NTT DATA Services

Project Manager

Norfolk, VA · On-site

$75K - $113K/yr

We are currently seeking a Project Manager to join our team in Norfolk, Virginia (US-VA), United ... About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of ...

NTT DATA Services

Azure Project Manager

Richmond, VA · On-site

$88K - $132K/yr

We are currently seeking a Azure Project Manager to join our team in Richmond, Virginia (US-VA ... About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of ...

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Showing results 41-60

All JobsData Services JobsData Services Manager JobsData Services Manager Jobs in Virginia

Data Services Manager information

See Virginia salary details

$30.7K

$96.3K

$170.5K

How much do data services manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data services manager in Virginia is $96,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

What is a data services manager?

A Data Services Manager is a professional responsible for overseeing the collection, management, and utilization of data within an organization. They lead teams that develop and maintain data systems, ensure data quality and security, and facilitate data-driven decision-making. Their role often involves collaborating with IT, analytics, and business departments to ensure that data services align with organizational goals. Data Services Managers also establish data policies and best practices, manage data integration projects, and support business intelligence initiatives.

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

To thrive as a Data Services Manager, you need strong expertise in data management, analytics, and database administration, typically supported by a degree in information technology or a related field. Familiarity with data warehouse platforms, SQL, cloud services (such as AWS or Azure), and certifications like CDMP or PMP are often required. Leadership, problem-solving, and effective communication are crucial soft skills for managing teams and translating business needs into data solutions. These competencies ensure data integrity, drive informed decision-making, and support organizational goals through efficient data practices.

What are some common challenges a data services manager faces when overseeing cross-departmental data initiatives?

A Data Services Manager often encounters challenges related to aligning various departments’ data needs and priorities. Coordinating data governance, standardization, and quality control across teams can be complex, as each department may use different systems and terminology. Effective communication and stakeholder management are crucial for ensuring smooth data integration and adoption of best practices. Additionally, balancing ongoing support for current data services while implementing new projects requires strong organizational and time management skills.

What is the difference between Data Services Manager vs Data Analyst?

AspectData Services ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, IT, or related field; often managerial certificationsBachelor's in Statistics, Data Science, or related field; certifications like Microsoft Data Analyst are common
Work EnvironmentLeads data teams, manages data infrastructure, collaborates with IT and business unitsAnalyzes data sets, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in organizations with large data operations, tech, finance, healthcareCommon across industries for data reporting and insights

The Data Services Manager oversees data infrastructure and team management, focusing on data strategy and operations. In contrast, Data Analysts primarily interpret data, generate reports, and support business decisions. Both roles require strong analytical skills, but the manager role involves leadership and technical oversight, while the analyst role emphasizes data interpretation and reporting.

What are the most commonly searched types of Data Services jobs in Virginia?

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

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

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

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

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

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

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

Data Services Manager jobs near you
Infographic showing various Data Services Manager job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $96,311 per year, or $46.3 per hour.

Data Engineer

540

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

540 is seeking a Data Engineer to support a mission-critical technology modernization effort for the Department of War. You will design, build, and maintain Databricks-based data pipelines and lakehouse capabilities that enable secure data integration, analytics, AI/ML, and operational workloads at enterprise scale.
Working with software engineers, AI/ML engineers, cybersecurity teams, and mission stakeholders, you will build scalable and reliable solutions using Databricks, Python, Apache Spark, and Delta Lake. The ideal candidate enjoys solving complex engineering challenges and developing trusted data products that support national defense missions.
Location: Arlington, VA
Citizenship & Clearance Requirement: Per client requirements, candidates must be U.S. Citizens with an active DoW Secret (or higher) clearance
Education Requirement: Bachelor's degree in Computer Science, Engineering, or a related technical field preferred; equivalent combinations of education and relevant experience will be considered
540 Internal Thrive Level: Data Engineer II or III
WHY 540?
540 is a forward-thinking company that the government turns to in order to #getshitdone. We don't just talk about innovation - we deliver it. We break down barriers, build impactful technology, and solve mission-critical problems.
HOW YOU'LL DRIVE IMPACT
  • Design, develop, and maintain Databricks-based data pipelines, data products, and lakehouse capabilities
  • Build automated ETL/ELT pipelines that ingest, transform, and deliver mission-critical data
  • Develop production-grade data-processing solutions using Python, SQL, PySpark, Apache Spark, and Delta Lake
  • Design and maintain data models, schemas, tables, and medallion architecture patterns supporting analytical, operational, and AI/ML workloads
  • Build and operate batch and streaming data pipelines supporting mission requirements
  • Develop and manage Databricks notebooks, jobs, workflows, clusters, and compute resources
  • Implement data-quality checks, automated testing, monitoring, lineage, and metadata-management capabilities
  • Support data discovery, governance, and access controls using Unity Catalog or similar technologies
  • Optimize Spark workloads and Databricks resources for performance, scalability, reliability, and cost efficiency
  • Collaborate with engineers, analysts, and data scientists to deliver reusable data products and mission capabilities
  • Support Databricks deployments using CI/CD, infrastructure as code, and source control
  • Partner with cybersecurity teams to implement data-protection, access-control, auditing, and governance requirements
  • Troubleshoot issues affecting Databricks workloads, data pipelines, storage systems, and production data services
  • Document data models, pipeline designs, engineering processes, and operational procedures

REQUIRED SKILLS & EXPERIENCE
  • 4+ years of relevant data engineering or software engineering experience
  • Hands-on experience developing and operating production data pipelines using Databricks
  • Proficiency with Python, SQL, PySpark, Apache Spark, and Delta Lake
  • Experience building automated ETL/ELT pipelines for large-scale datasets
  • Experience designing and maintaining data models, schemas, tables, and lakehouse architectures
  • Experience managing Databricks notebooks, jobs, workflows, and compute resources
  • Experience implementing data quality, automated testing, monitoring, lineage, or metadata-management capabilities
  • Experience working with Databricks and cloud-based data services in AWS, Azure, or Google Cloud
  • Experience working with structured, semi-structured, and unstructured data
  • Understanding of lakehouse architecture, data governance, security, privacy, and access-control principles
  • Ability to troubleshoot data pipelines, Spark workloads, infrastructure, and applications

NICE TO HAVE
  • Databricks certification or equivalent demonstrated platform expertise
  • Experience supporting DoW, federal, Advana, or other enterprise data environments
  • Experience with CI/CD, infrastructure as code, automated testing, and source control
  • Experience using Unity Catalog for data governance, lineage, and access control
  • Experience developing streaming pipelines with Spark Structured Streaming, Kafka, Kinesis, or Pulsar
  • Experience with orchestration tools such as Airflow, Dagster, or Argo Workflows
  • Experience with Docker, Kubernetes, or other containerization and orchestration technologies
  • Experience building cloud-native data platforms in secure, regulated, classified, or mission-critical environments
  • Currently holds, or is willing to obtain within 30 days of employment, an approved certification such as Cloud+, GSEC, Security+, or SSCP

BENEFITS & PERKS
  • Flexible PTO + all Federal holidays off
  • Health, dental and vision insurance plans
  • Flexible Spending Account (FSA)
  • 401k with employer match
  • Company-sponsored life insurance, short- and long-term disability
  • Professional development (training, certifications, conferences)
  • Paid cloud developer accounts
  • Referral bonuses
  • HQ office perks (parking / metro reimbursement, nitro coffee & lunches)
  • Annual social events (540 Week, hackathon, charity golf tournament, etc.)
  • Access to 540's Washington Capitals & Nationals tickets

EQUAL EMPLOYMENT OPPORTUNITY (EEO)
540's policy is to provide equal employment opportunity to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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