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Data Engineer Jobs in Charlottesville, VA (NOW HIRING)

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Data Engineer LCAT: Senior Location: Charlottesville, VA Required clearance: TS/SCI and current CI poly Required experience and education: Bachelor's degree or equivalent experience; ​CompTIA ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Position: Data Engineer LCAT: Senior Location: Charlottesville, VA Required clearance: TS/SCI and current CI poly Required experience and education: Bachelor's degree or equivalent experience;

NALLEY CONSULTING

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

They are seeking a Senior Data Engineer who will lead data engineering activities, oversee the development and deployment of data pipelines, and mentor a team in a fast-paced environment.

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Data Engineer information

See Charlottesville, VA salary details

$44.1K

$128.7K

$176.1K

How much do data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data 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 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:

What are popular job titles related to Data Engineer jobs in Charlottesville, VA?

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 67% Full Time, 11% Part Time, and 22% Temporary. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $128,636 per year, or $61.8 per hour.

Data Engineer - Sr

Nalley Consulting

Charlottesville, VA • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Join the mission on the Nalley Consulting team.
Position: Data Engineer
LCAT: Senior
Location: Charlottesville, VA
Required clearance: TS/SCI and current CI poly
Required experience and education: Bachelor's degree or equivalent experience; ​CompTIA Security+  certification
Description
You’ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You’ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.
You’ll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients. 
Duties
This role encompasses both Data Science and Data Engineering disciplines and requires raw coding experience without AI assisted IDEs. Duties typically include:  

  • Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
  • Proactively retrieving information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Creating various ML-based tools or processes such as recommendation engines or automated lead scoring systems. 
  • Performing statistical analysis, applies data mining techniques, and builds high quality prediction systems. 
  • ​Utilizing skills in data visualization and graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and margining of disparate data sources, preferably through Python, or SQL; statistical analysis; and data mining algorithms. 
  • Utilizing experience with large data Multi-INT analytics, ML, and automated predicative analytics. 

Required qualifications

  • 3+ years of experience designing, developing, operationalizing, and maintaining complex data applications 
  • ​3+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases 
  • ​3+ years of experience developing code for data manipulation, data analysis, or data modeling 
  • ​Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications 
  • ​Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals 
  • ​Experience in the development of algorithms leveraging Python and SQL 
  • ​Experience with Python data science and visualization packages 
  • ​Experience with leading the development of solutions to complex problems 
  • ​Experience working within a TS environment with onsite development tools 
  • ​Experience with database administration or data analytics 
  • ​Experience with structured and unstructured data 
  • ​CompTIA Security+ certification
Desired qualifications
  • 12+ years of experience in Extract, Transform, and Load (ETL) processes 
  • 7+ years of experience designing, developing, operationalizing, and maintaining complex data applications 
  • ​7+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases 
  • ​7+ years of experience developing code for data manipulation, data analysis, or data modeling 
  • ​3+ years of experience with AI and ML implementation and development 
  • ​Experience with DevSecOps tools, including GitHub 
  • ​Experience working within the Intel Community 
  • ​Experience with a cloud environment, including AWS, Microsoft Azure, or Google Cloud  
  • ​Experience with Streamlit, Tkinter 
  • ​Experience with Agile software development  

ABOUT NALLEY CONSULTING

Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states.

Nalley Consulting fringe benefits include:

  • Excellent medical, dental, and vision benefits
  • PTO
  • 11 paid federal holidays
  • Tuition assistance
  • Paid military-reserve leave
  • Paid parental leave for birth or adoption
  • 401k matching up to 5 percent of the base salary
  • Flex time
  • Company-paid short-term disability, long-term disability, and life insurance.

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