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Data Engineering Jobs in Charlottesville, VA (NOW HIRING)

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

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 ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

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 ...

NALLEY CONSULTING

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

Responsibilities : • Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data ...

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Data Engineering information

See Charlottesville, VA salary details

$45.6K

$163.7K

$241.6K

How much do data engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data engineering in Charlottesville, VA is $163,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,600.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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

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

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

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

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

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

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Charlottesville, VA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $163,708 per year, or $78.7 per hour.

Data Engineer - Sr

Nalley Consulting

Charlottesville, VA • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 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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