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Data Transformation Jobs in Virginia (NOW HIRING)

Enterprise Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

... transformations, enrichment, and modeling workflows to ensure data quality and usability. · Ensure data structures are optimized for performance and scalability. · Provide technical guidance and ...

Enterprise Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability. * Ensure data structures are optimized for performance and scalability. * Provide technical ...

Data Engineer

Vienna, VA · On-site

$120K - $135K/yr

Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies ... Position Overview SteerBridge is seeking a Data Engineer (Mid-Level, 3+ years) to join our growing ...

Sr. Data Analytics Engineer

Richmond, VA

$113K - $136K/yr

Work on data transformation, using the ETL tools. Build dimension views and fact tables. * Interact with the client business community to gather/develop functional and technical requirements and ...

Sr. Data Analytics Engineer

Richmond, VA

$113K - $136K/yr

Work on data transformation, using the ETL tools. Build dimension views and fact tables. * Interact with the client business community to gather/develop functional and technical requirements and ...

Data Engineer

Vienna, VA · On-site

$120K - $135K/yr

Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies ... Position Overview SteerBridge is seeking a Data Engineer (Mid-Level, 3+ years) to join our growing ...

Data Engineer

Vienna, VA · On-site

$120K - $135K/yr

Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies ... Position Overview SteerBridge is seeking a Data Engineer (Mid-Level, 3+ years) to join our growing ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Implement data processing frameworks and technologies, design and optimize data storage solutions, and develop data transformation logic to support analytics requirements. Implement data quality ...

Showing results 21-40

Data Transformation information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data transformation jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data transformation in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What is a data transformation?

A Data Transformation job involves converting, structuring, and optimizing raw data to make it useful for analysis, reporting, or other business processes. Professionals in this role use ETL (Extract, Transform, Load) tools, coding languages like SQL or Python, and cloud platforms to clean, aggregate, and reformat data. They ensure data integrity, improve accessibility, and support data-driven decision-making. This role is essential in industries that rely on accurate and efficient data processing, such as finance, healthcare, and e-commerce.

What are the typical daily responsibilities of someone in a data transformation role?

In a Data Transformation role, your daily responsibilities often include analyzing raw data from multiple sources, designing and executing processes to clean and reformat data, and collaborating with business and IT teams to ensure data meets project requirements. You’ll typically work with ETL (Extract, Transform, Load) tools to automate and streamline these processes, as well as perform quality checks to validate data accuracy. Coordinating with data engineers, data analysts, and stakeholders is a key part of the job to ensure projects align with business goals. Staying up-to-date with new data management technologies and best practices can also be a regular part of your routine, helping to drive ongoing improvements.

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

To thrive in a Data Transformation role, a strong background in data analysis, data modeling, and database management is essential, often supported by a degree in computer science, information systems, or a related field. Proficiency with data transformation tools like SQL, ETL platforms (such as Informatica or Talend), and cloud data services is typically required, and certifications in these areas can be advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities are key for collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are important because they ensure accurate, efficient data transformations that support critical business decisions.

Infographic showing various Data Transformation job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Data Conditioning Systems Engineer

Reston, VA • On-site

Cymertek Corporation
IT Services • 11 - 50 employees

Full-time

Re-posted 8 days ago


Job description

Job Summary:
Cymertek Corporation is seeking a skilled Data Conditioning Systems Engineer to join their team. The role involves developing, implementing, and maintaining data conditioning processes to ensure data integrity and quality across systems.
Responsibilities:
• Design and implement data conditioning workflows
• Develop and optimize ETL processes
• Collaborate with teams to identify data transformation needs
• Ensure data quality and consistency across systems
• Document system configurations and processes
• Monitor and troubleshoot data conditioning pipelines
Qualifications:
Required:
• Proficiency in data transformation tools like Talend or Apache NiFi
• Experience with scripting languages like Python or Bash
• Understanding of relational and non-relational databases
• Familiarity with data validation and cleansing techniques
• Knowledge of data integration strategies
• Ability to optimize data workflows for performance
• Bachelor's Degree in Computer Science, Data Engineering, Information Systems, Electrical Engineering, Software Engineering, Applied Mathematics, Statistics, Information Technology, Data Analytics, Operations Research, etc.
• TS/SCI Full Poly clearance
• Full U.S. Citizenship
Preferred:
• Experience with cloud data services (e.g., AWS Glue, Azure Data Factory)
• Knowledge of data governance best practices
• Familiarity with real-time data processing systems
• Understanding of big data platforms like Hadoop or Spark
• Experience with data encryption and security protocols
• Ability to integrate machine learning models into workflows
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.