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Data Transformation Jobs in Washington (NOW HIRING)

WarCollar Industries, LLC

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 ...

VT Group (VTG)

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 ...

Cymertek

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 ...

Cymertek

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 ...

Cymertek

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 ...

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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 Sep 5, 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, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $186,899 per year, or $89.9 per hour.

Senior Mortgage Data Analyst - Data Transformation

Omm IT Solutions

Mclean, VA • On-site

$87K - $110K/yr

Contractor

Re-posted 21 days ago

Job description

\n <\/head>\n \n \n
\n PLEASE NOTE:<\/b><\/span><\/span><\/u>
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  • IT IS 100% on site position in McLean, VA.<\/b><\/span><\/span><\/span>
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    \n <\/b><\/span><\/span><\/span>
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    \n KEY REQUIRED SKILLS:<\/b><\/span><\/span><\/u>
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    • Data lineage, data mapping, business process analysis, Cloud Data Platform<\/span><\/span><\/span>
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      <\/span><\/span><\/span>\n <\/div>\n
      \n DESCRIPTION:<\/b><\/u>
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      \n We are seeking an experienced Senior Mortgage Data Analyst - Data Transformation to support a large\-scale enterprise data transformation initiative for a leading financial services organization. In this role, you will serve as the bridge between business stakeholders and technical teams, ensuring business requirements are accurately translated into scalable, cloud\-based data solutions. A key role in data analysis, business process optimization, requirements definition, stakeholder collaboration, and ensuring high\-quality delivery throughout the project lifecycle.

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      \n KEY RESPONSIBILITIES:<\/b><\/span><\/span><\/u>
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      • Perform data lineage analysis, data profiling, and data mapping across enterprise applications and data platforms. <\/span><\/span><\/span>
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      • Analyze legacy data assets and map them to target\-state cloud\-based data architectures.<\/span><\/span><\/span>
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      • Gather, analyze, and document business and functional requirements for enterprise data transformation initiatives.<\/span><\/span><\/span>
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      • Create user stories, business process flows, functional specifications, and acceptance criteria for development teams.<\/span><\/span><\/span>
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      • Partner with business stakeholders, architects, data engineers, and product owners to define business\-aligned data solutions.<\/span><\/span><\/span>
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      • Evaluate event\-driven and entity\-based data models while identifying transformation opportunities and data gaps.<\/span><\/span><\/span>
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      • Support cloud\-based data ingestion and integration initiatives.<\/span><\/span><\/span>
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      • Coordinate User Acceptance Testing (UAT), Quality Assurance (QA), and validation activities.<\/span><\/span><\/span>
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      • Ensure deliverables meet business objectives, quality standards, and project timelines.<\/span><\/span><\/span>
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      • Facilitate stakeholder meetings, manage expectations, and communicate project progress effectively.<\/span><\/span><\/span>
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      • Utilize AI\-powered productivity tools such as Microsoft Copilot, ChatGPT, Claude, or other approved LLMs to improve documentation, analysis, and delivery efficiency.<\/span><\/span><\/span>
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      • Support enterprise data governance initiatives and ensure adherence to organizational data standards.<\/span><\/span><\/span>
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        Requirements<\/h3>\n
        \n REQUIRED QUALIFICATION:<\/b><\/span><\/span><\/u>
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        • Bachelor's degree in Computer Science, Information Systems, Business, Data Analytics, Finance, or a related discipline.<\/span>
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        • 7+ years of Business Analysis experience supporting enterprise data, analytics, or technology transformation programs.<\/span>
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        • Proven experience in data lineage, data profiling, data mapping, and business process analysis.<\/span>
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        • Strong experience gathering and documenting business, functional, and technical requirements.<\/span>
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        • Experience working with cloud\-based data platforms and modern data ingestion architectures.<\/span>
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        • Knowledge of enterprise data architecture, data governance, and data integration concepts.<\/span>
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        • Strong analytical, problem\-solving, and stakeholder management skills.<\/span>
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        • Excellent verbal and written communication skills.<\/span>
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        • Experience working in Agile environments.<\/span><\/span><\/span>
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          \n PREFERRED QUALIFICATION:<\/b><\/span><\/span><\/u><\/span>
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          • Experience within the secondary mortgage industry.<\/span>
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          • Hands\-on experience with cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud Platform.<\/span>
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          • Experience with enterprise data modernization and legacy system transformation projects.<\/span>
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          • Experience using Azure DevOps, Jira, or similar Agile project management tools.<\/span>
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          • Familiarity with AI\-assisted business analysis tools including Microsoft Copilot, ChatGPT, and Claude.<\/span>
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          • Professional certifications such as CBAP, PMI\-PBA, Scrum, or Agile certifications are a plus.<\/span>
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            \n <\/body>\n<\/html>

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