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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 ...

Highspring

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 ...

AaraTechnologies Inc

DATA ENGINEER

Washington, DC · On-site

$129K - $155K/yr

This role focuses on data ingestion, transformation, and validation for retail and ecommerce datasets. You will collaborate with analytics teams to support reporting needs. Ideal for early-career ...

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

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 ...

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

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 ...

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 technical ...

Highspring

Senior Consultant - Data & Analytics

Mclean, VA · On-site

$76K - $122K/yr

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

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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 Jul 16, 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 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 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 July 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $186,899 per year, or $89.9 per hour.

Senior Mortgage Data Analyst Data Transformation (W2)

Analytics Solutions

Mclean, VA • On-site

$88K - $111K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

The Role
We are seeking an experienced Senior Business Analyst to support a large-scale enterprise data transformation initiative for a leading financial services client. This role requires a business analyst with deep data expertise who can bridge business and technology teams, define data requirements, and ensure business processes are accurately represented within a modern cloud-based data platform. The ideal candidate combines strong analytical skills with knowledge of the secondary mortgage industry and experience working across complex data ecosystems.

What You'll Do

  • Perform data lineage analysis, data profiling, and data mapping across enterprise systems to understand how data supports business processes and target state capabilities.
  • Define business requirements and user stories for data enablement teams implementing cloud-based data ingestion and integration patterns.
  • Analyze event-driven and entity-based data models, mapping legacy data assets to target state architectures while identifying gaps and transformation requirements.
  • Partner with business and technical stakeholders to define business-aligned data requirements, assess business impacts of target state designs, and manage stakeholder expectations.
  • Provide senior business analysis leadership by supporting planning, defining acceptance criteria, overseeing deliverable quality, coordinating QA and UAT activities, and leveraging AI tools such as Microsoft Copilot, ChatGPT, Claude, and other approved LLMs to improve analysis efficiency.

What We're Looking For

  • 7+ years of Business Analysis experience supporting enterprise data, analytics, or technology transformation programmes.
  • Strong experience with data lineage, data profiling, data mapping, business process analysis, and requirements elicitation.
  • Experience defining requirements for cloud-based data platforms and modern data ingestion architectures.
  • Working knowledge of event-driven and entity-based data models, data governance principles, and enterprise data architecture concepts.
  • Domain knowledge of the secondary mortgage industry, including one or more of loan sourcing, underwriting, servicing, securitization, or capital markets operations.

Bonus Points For

  • Experience working with cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud.
  • Experience with Agile delivery methodologies, Azure DevOps, Jira, or similar requirements management tools.
  • Experience supporting enterprise data modernization or large-scale legacy system transformation initiatives.

Apply