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Manager Data Analytics Engineer Jobs in Virginia

Highspring

Senior Consultant - Data & Analytics

Mclean, VA

$86K - $109K/yr

... engineering, analytics, and transformation. We help clients maximize the value of their data by ... Manage discrete project workstreams, balancing technical execution with client communication and ...

Highspring

Senior Consultant - Data & Analytics

Mclean, VA · On-site

$76K - $122K/yr

... engineering, analytics, and transformation. We help clients maximize the value of their data by ... Manage discrete project workstreams, balancing technical execution with client communication and ...

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

This position collaborates with engineers, operators, analysts, and cybersecurity teams to ensure ... Establish data governance policies, data quality standards, and lifecycle management processes.

Pwc

Data Engineer - Manager

Richmond, VA

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

TLA-LLC

Data Analyst

Mclean, VA

Data Collection & Management: Collect data from primary and secondary sources, and maintain ... Programming Languages: Experience with statistical programming languages such as Python (using ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Virginia

Manager Data Analytics Engineer information

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are the most commonly searched types of Data Analytics Engineer jobs in Virginia? The most popular types of Data Analytics Engineer jobs in Virginia are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Virginia? For Manager Data Analytics Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Virginia look for? The top searched job categories for Manager Data Analytics Engineer jobs in Virginia are:
What cities in Virginia are hiring for Manager Data Analytics Engineer jobs? Cities in Virginia with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you

Senior Consultant - Data & Analytics

Highspring

Mclean, VA

$86K - $109K/yr

Other

Posted 28 days ago

Job description

Transform Your Career 

We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way. 

Embrace new challenges and deliver real value to some of the world's most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning.

The Team - Data & Analytics

Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments.

Your Impact

As a Senior Consultant, Data & Analytics, you will:

  • Design and build modern data warehouses and analytics-ready data models
  • Develop scalable, reliable data pipelines using cloud-based data platforms
  • Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders
  • Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions
  • Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines
  • Present findings, recommendations, and solution designs to both technical and non-technical audiences
  • Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code
  • Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts
  • Actively participate in internal knowledge sharing, mentoring, and career development activities

At a Minimum, You Will Have:

  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field
  • 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment
  • Strong proficiency in SQL and Python for data transformation, analysis, and pipeline development
  • Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies
  • Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent
  • Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality
  • Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines
  • Strong communication skills and comfort engaging with client stakeholders at varying levels of technical depth
  • Ability to work independently while collaborating effectively within cross-functional teams
  • Flexibility for travel, as needed

Preferably, You Will Have:

  • Experience designing data architectures and analytics solutions in cloud-native environments
  • Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows
  • Exposure to Agile or other iterative delivery methodologies
  • Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions
  • A demonstrated interest in continuously learning new tools, platforms, and analytics techniques

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