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Remote Data Transformation Analyst Jobs in Seattle, WA

Graph Database Architect

Bellevue, WA ยท Remote

$65.25 - $84/hr

Remote Duration: Long term contract About the Role: We are seeking an experienced Graph Database ... Lead data integration and transformation efforts to support complex R&D, analytics, or business use ...

Senior Data Architect

Seattle, WA ยท On-site +1

$76.50 - $102.50/hr

Seattle, WA or San Francisco, CA, Remote (Full-time; Partially Remote or Remote) We are seeking a ... Reporting & Analytics Platforms * Maintain and optimize reporting infrastructure including Power BI ...

... remote position. Application Deadline This position is anticipated to close on Aug 13, 2026 ... About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Showing results 41-60

Remote Data Transformation Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do remote data transformation analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data transformation analyst in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 per year, depending on experience, location, and employer.

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 Seattle, WA?

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

What job categories do people searching Remote Data Transformation Analyst jobs in Seattle, WA look for?

The top searched job categories for Remote Data Transformation Analyst jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Data Transformation Analyst jobs?

Cities near Seattle, WA with the most Remote Data Transformation Analyst job openings:

Graph Database Architect

IT America Inc

Bellevue, WA โ€ข Remote

$65.25 - $84/hr

Contractor

Re-posted yesterday


Job description

Position: Graph Database Architect

Location: Remote

Duration: Long term contract

About the Role:

We are seeking an experienced Graph Database Architect to design, optimize, and implement scalable graph-based data solutions. The ideal candidate will bring deep expertise in OWL/RDF ontology design, performance optimization, and hands-on experience with leading graph database technologies, particularly within Azure Cosmos DB.

Key Responsibilities:

  • Design and implement graph database solutions with a focus on ontology modelling (OWL, RDF).
  • Architect and optimize data models for scalability, performance, and maintainability.
  • Develop and maintain graph-based queries and pipelines using Gremlin, Cypher, and related query languages.
  • Lead data integration and transformation efforts to support complex R&D, analytics, or business use cases.
  • Collaborate with cross-functional teams to translate business requirements into graph-based technical solutions.
  • Provide performance tuning, monitoring, and optimization of graph workloads in Azure Cosmos DB.
  • Ensure compliance with data security, governance, and industry standards.

Required Skills & Experience:

  • 8+ years of overall data architecture experience, with at least 3+ years focused on graph database solutions.
  • Strong knowledge of OWL/RDF, ontology design, and semantic web standards.
  • Proven hands-on experience with Gremlin, Cypher, Neo4j, and other graph query languages.
  • Expertise in Azure Cosmos DB (graph API), including deployment, scaling, and performance optimization.
  • Strong understanding of data modeling, indexing, and query optimization techniques.
  • Experience in integrating graph databases with enterprise applications, APIs, and data pipelines.
  • Excellent problem-solving and communication skills to bridge business and technical requirements.

Nice to Have:

  • Familiarity with other cloud data platforms (AWS Neptune, GCP Graph Solutions).
  • Knowledge of machine learning or AI applications leveraging graph databases.
  • Experience in ontology-driven analytics or semantic data integration.