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Data Transformation Jobs in Washington (NOW HIRING)

VTG

Enterprise Data Engineer

Chantilly, VA

$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 ...

The Josef Group

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 ...

Bespoke Technologies, Inc

Enterprise Data Engineer

Herndon, VA · On-site

$117K - $141K/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 ...

Ignite IT

Data Engineering Lead

Suitland, MD · On-site

This role leads the transformation of legacy SAS-based data storage models--including flat files, batch outputs, and subsystem-specific data artifacts--into structured, governed, and scalable data ...

Bespoke Technologies, Inc.

Enterprise Data Engineer

Herndon, VA · On-site

$117K - $141K/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 ...

Accenture Federal Services

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 ...

NewGen Technologies

Enterprise Data Engineer

Chantilly, VA · On-site

$117K - $140K/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 ...

NewGen

Enterprise Data Engineer

Chantilly, VA · On-site

$117K - $140K/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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All JobsData Transformation JobsData Transformation Jobs in Washington

Data Transformation information

See Washington salary details

$52.1K

$186.9K

$275.8K

How much do data transformation jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data transformation in Washington is $186,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $192,500.00 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.

What are the most commonly searched types of Data Transformation jobs in Washington?

The most popular types of Data Transformation jobs in Washington are:

What are popular job titles related to Data Transformation jobs in Washington?

For Data Transformation jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Transformation jobs in Washington look for?

The top searched job categories for Data Transformation jobs in Washington are:

Data Transformation jobs near you
Infographic showing various Data Transformation job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $186,899 per year, or $89.9 per hour.

Enterprise Data Engineer

VTG

Chantilly, VA

$118K - $142K/yr

Full-time

Re-posted 21 days ago

Job description

Overview

VTG is seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured data from various sources.. The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes.


What will you do?
  • Write robust and efficient Pythonand SQL scripts to automate data processing tasks.
  • Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
  • Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability.
  • Ensure data structures are optimized for performance and scalability.
  • Provide technical guidance and support to ensure effective use of Palantir tools across teams.
  • Implement data quality checks, validation, and monitoring mechanisms to ensure the accuracy and reliability of datasets.
  • Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
  • Ensure proper data transformation and curation to meet business and analytics requirements.
  • Maintain and improve data quality, consistency, and accuracy through validation and cleansing processes.

Do you have what it takes?
  • Active TS/SCI W/ Polygraph required. 
  • Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or equivalent practical experience.
  • 3+ years of experiencein data engineering.
  • Strong proficiency in scripting and programming with Python.
  • Expertise in working with SQLfor data querying, transformation, and optimization.
  • Experience with data integrationfrom diverse sources such as APIs, relational databases, and file systems.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and teamwork skills to collaborate with technical and business teams.
Qualifications:
  • Active TS/SCI W/ Polygraph required. 
  • Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or equivalent practical experience.
  • 3+ years of experiencein data engineering.
  • Strong proficiency in scripting and programming with Python.
  • Expertise in working with SQLfor data querying, transformation, and optimization.
  • Experience with data integrationfrom diverse sources such as APIs, relational databases, and file systems.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and teamwork skills to collaborate with technical and business teams.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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