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Remote Data Transformation Analyst Jobs in Virginia

rockITdata

Data Analyst- Federal Health

Arlington, VA · On-site +1

... data transformation. We then bring those commercially tested solutions to government entities to ... Join rockITdata as a Data Analyst supporting one of the nation's largest federal healthcare ...

rockITdata

Full Stack Data Engineer

Arlington, VA · On-site +1

... data transformation. We then bring those commercially tested solutions to government entities to ... This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ...

Unacast

Senior Data Analyst/Scientist

Ashburn, VA · Remote

$110K - $130K/yr

Develop and optimize complex SQL queries and data transformations in Snowflake, working with large ... Other Info This is a remote position that may require occasional travel. Candidates must reside in ...

Inova

Sr. HR Analytics Analyst

Fairfax, VA · On-site +1

$90K - $119K/yr

This remote role will be full-time day shift working Monday - Friday. The Sr. HR Analytics Analyst ... Applies hands on methods for streamlining and standardizing data extraction, data transformation ...

NewGen

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

Analyze source data formats and work with Data Scientists and partners to determine the formats and ... transformations into enterprise or standalone data models * Develop new ETL and perform O&M and ...

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Remote Data Transformation Analyst information

What is a remote data transformation analyst?

A Remote Data Transformation Analyst is a professional who specializes in converting, cleaning, and organizing raw data into usable formats for analysis, all while working from a remote location. They work with large datasets, using tools and programming languages such as SQL, Python, or ETL (Extract, Transform, Load) platforms to ensure data accuracy and consistency. Their work supports business intelligence, reporting, and decision-making processes by making data accessible and actionable for stakeholders. Remote Data Transformation Analysts often collaborate with data engineers, data scientists, and other IT professionals to deliver high-quality data solutions.

What are some common challenges faced by remote data transformation analysts and how can they be addressed?

Remote Data Transformation Analysts often encounter challenges such as ensuring data accuracy across multiple sources, collaborating effectively with geographically dispersed teams, and managing tight project deadlines. To address these, it's important to establish clear communication channels, use project management tools to track progress, and routinely validate data transformations to maintain quality. Proactively seeking feedback from team members and stakeholders can also help quickly identify and resolve any issues, fostering a more efficient and collaborative remote work environment.

What are the key skills and qualifications needed to thrive as a remote data transformation analyst, and why are they important?

To thrive as a Remote Data Transformation Analyst, you need strong analytical skills, proficiency in data manipulation, and a background in computer science, information systems, or a related field. Familiarity with ETL tools (like Talend or Informatica), SQL, and data visualization platforms, as well as certifications in data analytics or related areas, are typically required. Excellent attention to detail, problem-solving abilities, and effective remote communication skills help you stand out in this role. These skills ensure accurate data transformation, seamless collaboration across distributed teams, and the delivery of actionable insights for business decision-making.

What is the difference between Remote Data Transformation Analyst vs Remote Data Engineer?

AspectRemote Data Transformation AnalystRemote Data Engineer
Required CredentialsBachelor's in Data Science, IT, or related field; SQL, Excel, data visualization skillsBachelor's or higher in Computer Science, Data Engineering; SQL, Python, cloud platforms
Work EnvironmentRemote, often part-time or project-based, collaborating with analysts and business teamsRemote or hybrid, involved in building and maintaining data pipelines and infrastructure
Employer & Industry UsageBusiness intelligence firms, finance, healthcare, retailTech companies, finance, e-commerce, large enterprises

The Remote Data Transformation Analyst focuses on cleaning, transforming, and visualizing data to support decision-making, while the Remote Data Engineer designs and maintains the data infrastructure and pipelines. Both roles require SQL skills and often work remotely, but Data Engineers typically have more programming and infrastructure responsibilities.

What are popular job titles related to Remote Data Transformation Analyst jobs in Virginia?

For Remote Data Transformation Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Data Transformation Analyst jobs in Virginia look for?

The top searched job categories for Remote Data Transformation Analyst jobs in Virginia are:

What cities in Virginia are hiring for Remote Data Transformation Analyst jobs?

Cities in Virginia with the most Remote Data Transformation Analyst job openings:

Remote Data Transformation Analyst jobs near you
Infographic showing various Remote Data Transformation Analyst job openings in Virginia as of June 2026, with employment types broken down into 85% Full Time, 3% Part Time, and 12% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Architect III (Remote)

Indotronix International Corporation

Richmond, VA • On-site, Remote

Full-time

Posted 3 days ago

New

Job description

Data Architect III (Remote) - Data Engineer (AWS): Operational Support & Enhancement
About the Role
Join a dynamic team as a Data Architect III, focused on hands-on engineering to support and enhance an established AWS-based enterprise data platform. Work remotely with a collaborative team of experienced data engineers, delivering reliable HR, Finance, and Procurement data to business users across the organization. This position is ideal for data engineers who thrive in operational support, troubleshooting, and continuous improvement of data pipelines and products.
Responsibilities
- Provide end-to-end operational support for AWS-based data pipelines and products (S3, AWS Glue, Starburst)
- Monitor pipeline performance, respond to incidents, and execute root cause analysis for data issues
- Troubleshoot across data, Python code, and SQL queries to resolve ingestion, transformation, and publication failures
- Recommend, design, and implement robust data quality checks and validation logic
- Enhance and optimize existing AWS Glue jobs and S3 data flows for performance and maintainability
- Support business data consumption via Tableau, APIs, and direct SQL interfaces
- Collaborate with HR, Finance, and Procurement stakeholders to resolve data discrepancies and understand reporting requirements
- Maintain clear documentation for pipelines, transformations, troubleshooting, and operational procedures
- Contribute to infrastructure improvements, including Terraform-based enhancements where applicable
- Adhere to engineering best practices, participate in code reviews, and collaborate using Git and GitLab
- Work within an Agile team environment, balancing operational support with ongoing enhancements
Required Skills and Experience
- 5+ years hands-on data engineering experience
- 5+ years working with AWS data tools (S3, AWS Glue)
- Advanced SQL expertise (read, debug, optimize complex queries)
- Strong Python programming for data processing and automation
- Experience with PostgreSQL or similar relational databases
- Proven data troubleshooting skills (data, Python code, SQL queries)
- ETL/ELT pipeline development and support for structured data
- Data quality validation and implementation
- Git and GitLab version control and collaboration
- Bachelor's degree in a related field or equivalent practical experience
Preferred Skills
- Familiarity with Starburst or similar federated SQL engines
- Experience with Workday or Ariba data structures
- Exposure to Tableau or comparable BI/reporting tools
- Experience with Terraform for infrastructure enhancements
- IT-related certifications
Benefits
- Long-term project with potential for full-time conversion
- 100% remote work for optimal flexibility
- Opportunity to work with advanced AWS technologies and enterprise-scale data
- Collaborative, supportive team environment
- Exposure to cross-functional business domains (HR, Finance, Procurement)
- Competitive compensation
How to Apply
If you are a proactive Data Engineer passionate about data pipeline reliability and operational excellence, apply now to join our remote team. Qualified candidates will be contacted regarding next steps.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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