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Data Coding Jobs in Virginia (NOW HIRING)

Cornerstone Defense

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions. Activities include the following tasks: Movement of structure ...

Aerstone

Data Architect

Springfield, VA · On-site

$66.75 - $85.75/hr

... and peer code reviews. • Contribute to the development and maintenance of DevSecOps CI/CD pipelines for data and application deployments. • Partner with security teams to ensure data ...

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$150K - $200K/yr

We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to ...

GRVTY

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to ...

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All JobsData Coding JobsData Coding Jobs in Virginia

Data Coding information

See Virginia salary details

$9

$28

$68

How much do data coding jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for data coding in Virginia is $28.77, according to ZipRecruiter salary data. Most workers in this role earn between $15.90 and $35.07 per hour, depending on experience, location, and employer.

How much do data coders make?

Data coders typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of coding tasks. Entry-level positions may pay closer to the lower end, while experienced coders with specialized skills can earn higher wages, especially if working in healthcare or research environments.

What hot tech job pays $775 000?

Data coding roles typically do not pay $775,000 annually; such high salaries are more common in executive or specialized tech positions like chief data officers or senior AI researchers. Most data coding jobs offer competitive salaries, but reaching that level usually requires extensive experience, advanced skills, and leadership responsibilities.

What are the key skills and qualifications needed to thrive in the Data Coding position, and why are they important?

To thrive in Data Coding, you need strong attention to detail, data analysis abilities, and a solid understanding of coding systems or data classification procedures, often supported by experience in data management or health information fields. Familiarity with software tools such as Microsoft Excel, databases, and specialized coding platforms, as well as relevant certifications like Certified Professional Coder (CPC), is common. Strong organizational skills, the ability to work independently, and clear communication are valuable soft skills in this role. These skills are essential to ensure data accuracy, maintain consistency, and support effective data processing for organizational decision-making.

What is a Data Coding job?

A Data Coding job involves organizing, labeling, and categorizing data to prepare it for analysis. This can include coding survey responses, tagging content, or structuring raw data for machine learning models. Professionals in this role often work with large datasets, ensuring accuracy and consistency. Data Coding is essential for transforming unstructured information into a structured format that can be easily analyzed.

What jobs pay $500,000 a year in the US?

In the field of data coding, high-paying roles reaching $500,000 annually are rare and typically involve senior positions such as data science directors, chief data officers, or specialized consultants with extensive experience and advanced skills. These roles often require advanced degrees, certifications, and leadership responsibilities within large organizations or consulting firms.

What does a data coder do?

A data coder is responsible for reviewing, categorizing, and entering data into databases or spreadsheets, often using coding schemes or classification systems. They ensure data accuracy and consistency, which is essential for research, analysis, or quality control projects. Proficiency in data management tools and attention to detail are important skills for this role.

What are the typical daily responsibilities of a Data Coding professional?

Data Coding professionals are responsible for reviewing, classifying, and entering data into databases according to established coding guidelines. On a typical day, you may work closely with raw datasets, accurately apply standardized codes, and validate entries to ensure data integrity. Collaboration with other data specialists or team members is often required to resolve discrepancies and support large-scale projects. Attention to deadlines and consistent quality checks are key aspects of the role. This position offers valuable hands-on experience with data systems, which can be a great stepping stone to advanced roles in data analysis or data management.

What are popular job titles related to Data Coding jobs in Virginia? For Data Coding jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Coding jobs in Virginia look for? The top searched job categories for Data Coding jobs in Virginia are:
Data Coding jobs near you
Infographic showing various Data Coding job openings in Virginia as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $59,842 per year, or $28.8 per hour.
Data Engineer

Data Engineer

Cornerstone Defense

Chantilly, VA • On-site

$117K - $140K/yr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

  • Location: Chantilly, Virginia
  • Type: Contract
  • Job #3714

Title: Data Engineer
Location: Chantilly, VA
*Clearance: *Active TS/SCI w/ Polygraph needed to apply *
Company Overview:
Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense.
Benefits Overview :
Cornerstone Defense offers a very comprehensive benefits package including, but not limited to: Medical, Dental and Vision Plans * Generous PTO Policy * 401(k) * HSA and FSA options * Life and Disability Insurance * Tuition Reimbursement and Training * Perks at Work Discount Program * Referral Program * Leads Generation Program * CollegeAmerica 529 * Fitness Reimbursement Program * Travel Assistance * Norton Lifelock Benefit Solutions * Life Planning Financial & Legal Services *
Develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions. Activities include the following tasks: Movement of structure and unstructured data using approved methods. Execute data ingestion activities for storing data in a local or enterprise level location. Develop code to format data that supports exploration. Analyze source data formats and work with Data Scientists and partners to determine the formats and transforms that best meet mission objectives. Develop code and tools to provide one-time and on-going data extraction from various repositories, formatting and transformations into enterprise or standalone data models. Develop new ETL and perform O&M and enhancements on existing ETL code using best practices/standards. Develop and deliver documentation for each project including ETL mappings, code use guide, code location and access instructions.
  • Design and optimize Data Pipelines using tools such as Spark, Apache Iceberg, Trino, OpenSearch, EMR cloud services, NiFi and Kubernetes containers
  • Ensure the pedigree and provenance of the data is maintained such that the access to data is protected
  • Clean and preprocess data to enable access for advanced analytics
  • Collaborate with enterprise working groups to advance the state of data standards
  • Collaborate with the engineering team, data stewards, and mission partners to aid in getting actionable value out of the data holdings
  • Collaborate with software engineers to update, configure, and maintain data services based on the requirements
  • Ensure data quality by working with the testing and data quality team to enhance standardization of data conditioning pipelines
  • Experience adapting to various types and formats of data, and working with development teams to integrate new data processing platforms

Required Skills:
  • 10+ years' experience with:
  • Data lifecycle engineering
  • Development and maintenance of extract, transform and load (ETL) tools and services
  • Cloud and on-prem data storage and processing solutions
  • Python, SQL, Spark and other data engineering programming
  • COTS and open source data engineering tools such as ElasticSearch and NiFi
  • Processing data within the Agile Lifecycle

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