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Manager Data Engineering Jobs in Virginia (NOW HIRING)

Photon

Data Quality Engineer - VA

Norfolk, VA · On-site

$110K - $133K/yr

Utilize cloud platforms like Azure, AWS or GCP to deploy and manage data quality solutions ... Strong knowledge of data engineering principles and best practices. Hands-on experience with cloud ...

Excella

Lead Consultant Data Engineer (DHS)

Arlington, VA

$131K - $158K/yr

... manage data processes to ensure availability and usability. * Create and automate data pipelines and platforms. * Write clean, efficient, and well-documented code to support data engineering ...

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 ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

... management capabilities. * Develop scalable data architectures, metadata enrichment pipelines ... Conduct data exploration, feature engineering, model training, validation, testing, and performance ...

MasterCard

Senior Principal, Data Engineering

Arlington, VA · On-site

$144K - $199K/yr

... management responsibilities. The ideal candidate is a builder at heart, someone who enjoys writing ... Architect and deliver scalable data engineering solutions, including ETL/ELT pipelines, data lakes ...

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 ...

Analygence

Data Manager

Arlington, VA · On-site

This position operates at the intersection of assessment execution and data engineering, using ... Collect, structure, and manage data from Department of War Mission Assurance Assessments, Pre-Site ...

Analygence

Data Manager

Arlington, VA

This position operates at the intersection of assessment execution and data engineering, using ... Collect, structure, and manage data from Department of War Mission Assurance Assessments, Pre-Site ...

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All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Virginia

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:

Manager Data Engineering jobs near you
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 Quality Engineer - VA

Photon

Norfolk, VA • On-site

$110K - $133K/yr

Full-time

Re-posted 19 days ago

Job description

Position:  Data Quality Engineer 

Location: USA, East Coast 

Job Summary 

We are seeking a skilled and experienced Data Quality Engineer with a strong background in data engineering, data quality engineering, and expertise in cloud technologies in Azure, GCP or AWS. The ideal candidate will also have exposure to artificial intelligence (AI) concepts and tools.  

Position: Data Quality Engineer 

Responsibilities: 

As a Data Quality Engineer, you will play a crucial role in ensuring the integrity, accuracy, and reliability of our organization's data assets. Your responsibilities will include designing and implementing data quality processes, collaborating with cross-functional teams, and leveraging cloud platforms to optimize data quality and integration. 

Collaborate with data owners and stakeholders to define and enforce data quality standards. 

Develop and implement data cleansing strategies to address identified data quality issues. 

Utilize data profiling tools and techniques to analyze data patterns and identify potential quality issues. 

Work on optimizing data architectures for improved data quality and performance. 

Utilize cloud platforms like Azure, AWS or GCP to deploy and manage data quality solutions. 

Leverage cloud services for scalable storage, processing, and analysis of large datasets. 

Document data quality issues, root causes, and remediation steps. 

Generate regular reports on data quality metrics and communicate findings to relevant stakeholders. 

Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data quality requirements and implement effective solutions. 

Qualifications: 

Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 

Proven experience as a Data Quality Engineer or in a similar role. 

Strong knowledge of data engineering principles and best practices. 

Hands-on experience with cloud platforms, especially Azure. 

Familiarity with AI concepts and tools is preferred. 

Proficiency in programming languages such as Python, SQL, or Java. 

Excellent problem-solving and analytical skills. 

Strong communication and collaboration skill. 

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