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Data Transformation Jobs in Virginia (NOW HIRING)

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

... transformation, validation, and quality controls • Integrate data from a variety of internal and external sources, including REST APIs, flat files, and structured/semi-structured formats • Ensure ...

Senior Consultant - Data & Analytics

Mclean, VA · On-site

$86K - $109K/yr

Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts * Actively participate in internal knowledge sharing, mentoring, and career ...

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 ...

Data Conditioning Systems Engineer

Chantilly, VA · On-site

$118K - $142K/yr

The ideal candidate will have a strong understanding of data workflows, data transformation, and system integration, as well as a passion for optimizing data pipelines. If you are driven to work on ...

Data Conditioning Systems Engineer

Reston, VA · On-site

$119K - $143K/yr

The ideal candidate will have a strong understanding of data workflows, data transformation, and system integration, as well as a passion for optimizing data pipelines. If you are driven to work on ...

Data Conditioning Systems Engineer

Tysons, VA · On-site

$114K - $138K/yr

The ideal candidate will have a strong understanding of data workflows, data transformation, and system integration, as well as a passion for optimizing data pipelines. If you are driven to work on ...

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 ...

Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts * Actively participate in internal knowledge sharing, mentoring, and career ...

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 ...

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Data Transformation information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data transformation jobs pay per year?

As of Jul 13, 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 the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Manager, Director of Data Science, or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, statistical analysis, and leadership, along with extensive experience and relevant certifications.

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.

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 is the role of data transformation?

The role of data transformation in data transformation jobs involves converting data from its original format into a suitable format for analysis, storage, or processing. This process includes tasks like cleaning, normalizing, and structuring data using tools such as ETL (Extract, Transform, Load) processes and scripting languages. Data transformation ensures data quality and consistency for effective decision-making and reporting.

Will AI replace a data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and applying domain knowledge that AI tools currently cannot replicate. Skills in data visualization, statistical analysis, and understanding business context remain critical in this field.

Is 40 too late for data science?

Data transformation roles in data science often value skills and experience over age, and many professionals transition into the field later in life. Learning relevant tools like SQL, Python, and data visualization, along with building a portfolio, can help late entrants succeed regardless of age.

What is a Data Transformation job?

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 most commonly searched types of Data Transformation jobs in Virginia? The most popular types of Data Transformation jobs in Virginia are:
What job categories do people searching Data Transformation jobs in Virginia look for? The top searched job categories for Data Transformation jobs in Virginia are:
Infographic showing various Data Transformation job openings in Virginia as of July 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.
Lead Data Engineer - Data Transformation (Modeling and Architecture)

Lead Data Engineer - Data Transformation (Modeling and Architecture)

Capital One

Mclean, VA

Full-time

Posted 25 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

76th of 149 rated banks


Job description

Lead Data Engineer - Data Transformation (Modeling and Architecture)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You'll Do:

  • Build and maintain comprehensive data models-spanning conceptual, logical, and physical layers-to ensure scalable architecture and high data integrity across enterprise systems.

  • Lead design of the org data landscape by applying Consumer Driven design principles, ensuring that data structures reflect business realities and evolving organizational needs

  • Architect and implement robust data ecosystem solutions, including Data Lake and Data Warehouse patterns, to support diverse analytical and operational requirements.

  • Support high-performance data pipelines and complex transformations that utilize SQL, Spark, and Python to process large-scale datasets efficiently.

  • Define and Enforce rigorous data governance standards while managing metadata frameworks to ensure data compliance and discoverability

  • Translate complex technical concepts into actionable business insights, working independently to lead initiatives and collaborate with stakeholders to meet organizational goals.

  • Contribute to the evolution of the data ecosystem by designing AI-ready architectures

  • Collaborate with and across Agile teams to design, develop, implement, and support technical solutions

  • Work with a team of developers with deep experience in machine learning, AI, distributed microservices, and full stack systems

  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

Basic Qualifications:

  • Bachelor's Degree

  • At least 4 years of experience in application development (Internship experience does not apply)

  • At least 2 years of experience in big data technologies

  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

  • 4+ years of experience in Data Architecture / Data Modeling

  • 7+ years of experience in application development including Python, SQL, Scala, or Java

  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

  • 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)

  • 4+ year experience working on real-time data and streaming applications

  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)

  • 4+ years of data warehousing experience (Redshift or Snowflake)

  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting

  • 2+ years of experience with Agile engineering practices

  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $197,300 - $225,100 for Lead Data Engineer


McLean, VA: $197,300 - $225,100 for Lead Data Engineer


Richmond, VA: $179,400 - $204,700 for Lead Data Engineer









Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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