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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

$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 ...

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

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 ...

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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 18, 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

Senior Mortgage Data Analyst - Data Transformation

Netsynk

Mclean, VA • On-site

$88K - $111K/yr

Other

Posted 2 days ago

Job description

Job Title: Senior Mortgage Data Analyst – Data Transformation
Location: McLean, VA
Work Mode: In Office
Experience Required: 10+ Years
Employment Type: Contract

Role Overview

We are seeking an experienced Senior Mortgage Data Analyst – Data Transformation to support a large-scale enterprise data transformation initiative within the financial services industry. This role serves as the bridge between business stakeholders and technical teams, ensuring business requirements are translated into scalable, cloud-based data solutions.

The ideal candidate will have strong expertise in business analysis, data lineage, data mapping, cloud data platforms, and enterprise data transformation, along with excellent stakeholder management and communication skills.

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

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