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Data Engineer Jobs in Charlottesville, VA (NOW HIRING)

ManTech International

Data Scientist

Charlottesville, VA · On-site

$85K - $141K/yr

MANTECH's data scientists leverage advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready solutions supported by robust data engineering practices.

Appvion, LLC

Artificial Intelligence Architect

Keswick, VA · On-site

$63 - $81/hr

You'll sit at the intersection of engineering, data, and business strategy, designing the systems and setting the standards that accelerate AI adoption across the enterprise. What You'll Do * Design ...

CACI

Data Migration SME

Charlottesville, VA · On-site

We are seeking a highly talented, experienced Data Migration Engineer to facilitate the migration of external data into a new key Government repository. This role will focus on transferring legacy ...

Spgi

Senior Data Scientist

Charlottesville, VA · On-site

$90K - $160K/yr

Senior Data Scientist Location: Princeton, NJ or New York, N, or Charlottesville, VA. Toronto, ON ... Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ...

Spgi

Senior Data Scientist

Charlottesville, VA · On-site

$90K - $160K/yr

Senior Data Scientist Location: Princeton, NJ, New York, N, or Charlottesville, VA. Toronto, ON ... Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Charlottesville, VA

Data Engineer information

See Charlottesville, VA salary details

$44.1K

$128.6K

$176K

How much do data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer in Charlottesville, VA is $128,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,400.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Charlottesville, VA?

The most popular types of Data Engineer jobs in Charlottesville, VA are:

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Charlottesville, VA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $128,636 per year, or $61.8 per hour.

Data Scientist

ManTech International

Charlottesville, VA • On-site

$85K - $141K/yr

Full-time

Medical, Life, Retirement, PTO

This job post has expired 3 days ago. Applications are no longer accepted.

Key responsibilities

  • Lead and contribute to data science projects by developing production-ready models and analytics products for clients.

  • Design solutions within client environments by adapting project work to their tooling and system requirements.

  • Engage with clients to gather requirements, connect business use cases with appropriate analytics techniques, and communicate solutions to stakeholders.

ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies

Job description

Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
MANTECH International Corporation, seeks a motivated, career and customer-oriented Data Scientist to join our team in Raleigh, NC, Washington DC or Charlottesville, VA. This role is hybrid and must be onsite 1-2 days per week.
This role is for a highly experienced and curious data scientist to lead and/or support the full-lifecycle development and deployment of analytical solutions at You will operate as a critical member of our analytics consulting team, acting as a trusted advisor for a diverse set of client partners. MANTECH's data scientists leverage advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready solutions supported by robust data engineering practices.
Responsibilities include but are not limited to:
  • Lead and Contribute to Data Science Projects: Dive deeply into complex and often nebulous requirements and draw from your expertise to develop production-ready models and analytics products for our clients. Clients' needs can require a broad set of analytics skills including but not limited to time series forecasting, natural language processing (NLP), classification/regression modeling, and optimization.
  • Design Solutions within Client Environments : Adapt project work to the client's tooling and environment requirements. This will oftentimes require quickly learning new systems and tools to be able to deliver solutions that will work well within a client's ecosystem.
  • Consult with Clients to Solve Problems: Engage in critical requirements gathering and data "sleuthing" to connect business use cases with the right analytics techniques to provide real-world impact. You will often work directly with clients to define and solve problems that lack clear initial definitions and will regularly communicate your solutions directly to stakeholders.
  • Develop, Lead, and Support Analytics Training Courses: Develop and/or teach bespoke data science, AI, or related material designed specifically for Elder Research clients. This can include support for active courses through lecture, mentoring, and grading.
  • Collaborate and Communicate: Work with internal teams and external client stakeholders to effectively communicate technical findings, maintain strong relationships, and ensure delivery aligns with overall objectives.

Minimum Qualifications:
  • 3+ years of experience as a Data Scientist with a Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or the social or natural sciences.
  • High proficiency in Python and/or R, including libraries for data analysis and modeling.
  • Experience developing machine learning models and employing model validation best practices.
  • Strong SQL experience to facilitate deep dives and analysis of complex datasets.
  • Working knowledge of version control (Git) for source code.
  • Initiative and willingness to "hit the ground running" on new projects; unafraid to work independently.
  • Passion and curiosity for exploring data to understand the business context and connect technical work to real-world impact.
  • Excitement to continually learn new tools and techniques.
  • Humility and eagerness to collaborate with other data scientists, data engineers, engagement and project managers, and clients.
  • Interest in developing and contributing to instruction for data science and AI training courses.
  • Ability to communicate complex technical findings to a variety of audiences, including those with limited data science experience.

Preferred Qualifications:
  • Exceptional comfort with ambiguity and a proven ability to define and drive projects from vague concepts to concrete outcomes.
  • Strong consultative and communication skills to represent the team effectively to clients.
  • Ability to work autonomously in fully remote, flexible client environments.
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields.
  • Experience applying advanced statistical concepts and data science workflows to real-world data, including out-of-sample validation for various model types, sampling considerations, bias detection, handling missing or outlying data, and robust exploratory analysis.
  • Understanding of the data analytics lifecycle (e.g., CRISP-DM).

The projected compensation range for this position is $85,300.00-$141,400.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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