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Manager Data Analytics Engineer Jobs in Charlottesville, VA

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Conducting data analytics, data engineering, data mining, exploratory analysis, predicative ... Python; managing and margining of disparate data sources, preferably through Python, or SQL ...

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Conducting data analytics, data engineering, data mining, exploratory analysis, predicative ... Python; managing and margining of disparate data sources, preferably through Python, or SQL ...

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

Responsibilities : • Conducting data analytics, data engineering, data mining, exploratory ... Python; managing and margining of disparate data sources, preferably through Python, or SQL ...

Data Analyst needed to create and customize SSRS reports, analyze, clean and load SQL data for migration project, and create Business Intelligence reports and dashboards. Mgr agrees to initial ...

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Showing results 1-20

Manager Data Analytics Engineer information

See Charlottesville, VA salary details

$44.1K

$128.7K

$176.1K

How much do manager data analytics engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for manager data analytics engineer in Charlottesville, VA is $128,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,600.00 and $136,400.00 per year, depending on experience, location, and employer.

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 popular job titles related to Manager Data Analytics Engineer jobs in Charlottesville, VA?

For Manager Data Analytics Engineer jobs in Charlottesville, VA, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Charlottesville, VA look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Charlottesville, VA are:

What cities near Charlottesville, VA are hiring for Manager Data Analytics Engineer jobs?

Cities near Charlottesville, VA with the most Manager Data Analytics Engineer job openings:

Associate Director of Data Analytics and Platform Services

University of Virginia

Charlottesville, VA • On-site

$105K - $125K/yr

Full-time

Re-posted 18 days ago


University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

208th of 618 rated colleges and universities


Job description

Department Overview
About UVA School of Engineering and Applied Science
The University of Virginia School of Engineering and Applied Science (SEAS) serves more than 3,000 undergraduate students and 1,000 graduate students and has a rapidly expanding research enterprise. The s chool is committed to excellence in education, research, and service.
Position Summary
The School of Engineering and Applied Science (SEAS) at the University of Virginia seeks an experienced and strategic data professional to serve as the Associate Director of Data Analytics and Platform Services. This position will lead a small team responsible for maintaining and advancing a production-grade Microsoft Fabric data platform while delivering high-quality analytics and reporting that support operational excellence, strategic planning, and institutional decision-making.
The SEAS data platform currently integrates data from SIS, Workday, Slate, Airtable , and other institutional and external systems through 15+ production pipelines, serving 50+ users across the school. The successful candidate will inherit and build upon this foundation.
Key Responsibilities
Data Analytics and Reporting
  • Partner with school leadership and academic units to align analytics and reporting with institutional priorities.

  • Create and maintain dashboards, visualizations, and reports for strategic metrics using Power BI and related tools.

  • Perform trend analysis and forecasting using large, complex datasets across enrollment, faculty, research, and financial domains.

  • Lead the school's institutional reporting efforts, including IPEDS, ASEE, and US News survey submissions.

  • Support operational decision-making through data-driven insights and ad hoc analysis.

Data Engineering and Platform Development
  • Maintain and enhance the school's Microsoft Fabric data platform, including lakehouse /warehouse architecture, PySpark notebooks, and T-SQL pipelines.

  • Define and advance the school's data architecture, strategy, and long-term platform roadmap.

  • Manage data governance and ensure data integrity, performance optimization, and reliability of data pipelines in compliance with university policies.

  • Explore and implement emerging technologies, including AI/LLM tools, to enhance data access and insight delivery.

  • Collaborate with central UVA IT and enterprise data governance partners to align data practices and integrate institutional data sources.

  • Manage API integrations and data ingestion from external systems (e.g., Slate SFTP, Airtable , Google Scholar).

Team Leadership and Stakeholder Management
  • Lead and develop a small team of data analysts and engineers ; serving as a player-coach who balances hands-on technical work with people leadership.

  • Navigate stakeholder relationships across academic departments, associate deans, faculty affairs, and administrative units .

  • Maintain documentation, runbooks, and knowledge management practices to ensure platform continuity.

Minimum Qualifications
  • Experience managing a team of data analysts or engineers.

  • Strong proficiency in Python ( PySpark ), SQL (T-SQL), and data transformation frameworks.

  • Experience with Microsoft Fabric, Azure, or comparable modern cloud data platforms.

  • Demonstrated ability to design and manage ETL/ELT pipelines and data architectures.

  • Experience developing dashboards and reports using Power BI or similar tools.

  • Strategic thinking, project planning, and the ability to influence analytics adoption across an organization.

  • Demonstrated innovation in analytics methodologies and technologies.

Preferred Qualifications
  • Experience working in higher education or complex institutional environments.

  • Familiarity with university data domains (enrollment, faculty, research, finance, advancement).

  • Experience with institutional survey and reporting frameworks (IPEDS, ASEE, US News).

  • Experience with API integrations and web services.

  • Exposure to data quality frameworks and data governance practices.

  • Experience with AI/LLM tools in a data platform context.

  • Microsoft Fabric certifications (e.g., DP-600) or comparable cloud platform credentials.

Physical Demands
This is primarily a sedentary position. The employee will be expected to perform typical office tasks including sitting, standing, and working at a computer for extended periods of time.
Salary Range
$105,000 - $125,000
Position Type & Work Location
Full-time, exempt position. Work location: Charlottesville, VA (hybrid work arrangements may be available).
About UVA and the Community
The University of Virginia is a world-class public institution, combining rigorous academics, cutting-edge research, and a vibrant community. Nestled in Charlottesville, VA, UVA offers a high quality of life with access to outdoor recreation, a thriving arts scene, and a strong sense of community.
Application Timeline
Review of applications will begin after the position has been posted for a minimum of five days.
Additional Requirements
This position will not sponsor applicants for work visas.
How to apply:
Please apply online through Online and search for R0081957. Complete the application and upload the following required materials:
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
  • Cover letter
  • Resume

Please note that multiple documents can be uploaded in the "Resume" box. Applications that do not contain all required documents will not receive full consideration.
Reference Check Process
Reference checks will be conducted via SkillSurvey. A total of five references will be requested, with at least three responses required.
Contact
For questions about this position, please contact the recruiter. Bill Crane at Xer5ff@virginia.edu
Job Profile
J1476 - Information Technology Management 2
Career Stream and Level
Management-M2
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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University of Virginia logo

About University of Virginia

Sourced by ZipRecruiter

The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819