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Csv Engineer Remote Jobs in Seattle, WA (NOW HIRING)

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Remote JD: Key Responsibilities • Design and implement ETL pipelines using Microsoft Fabric ... XML, CSV, Parquet). • Proven ability to build metadata-driven architectures and reusable ...

Team Red Dog

Senior Software Automation Engineer

Redmond, WA · Remote

$116K - $152K/yr

In this fully remote role, you will design and build scalable automation solutions that streamline ... Experience working with SQL/KQL query results, JSON, CSV files, spreadsheets, logs, and other ...

All JobsCsv Engineer JobsCsv Engineer Remote JobsCsv Engineer Remote Jobs in Seattle, WA

Csv Engineer Remote information

See Seattle, WA salary details

$41K

$110.4K

$169K

How much do csv engineer remote jobs pay per year?

As of Jul 27, 2026, the average yearly pay for csv engineer remote in Seattle, WA is $110,354.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $125,200.00 per year, depending on experience, location, and employer.

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

AspectCsv Engineer RemoteData Analyst Remote
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, technical teams, data engineering projectsRemote, business teams, data interpretation tasks
Industry UsageTech, finance, healthcareMarketing, finance, consulting
Common Search IntentTechnical data pipeline rolesBusiness insights and reporting

Csv Engineer Remote and Data Analyst Remote roles often overlap in data handling but differ in focus. Csv Engineers primarily build and maintain data pipelines using CSV formats, requiring technical skills and engineering certifications. Data Analysts interpret data for business insights, emphasizing analytical skills. Both roles are remote and industry-spanning, but their core responsibilities and skill sets differ significantly.

What are the key skills and qualifications needed to thrive as a CSV Engineer (Remote), and why are they important?

To thrive as a CSV (Computer System Validation) Engineer, you need expertise in validation methodology, regulatory compliance (such as FDA 21 CFR Part 11), and a background in computer science, engineering, or life sciences. Familiarity with validation management tools, documentation systems, and knowledge of GxP guidelines are typically required, along with certifications like PMP or Six Sigma being advantageous. Strong analytical thinking, attention to detail, and effective communication skills help facilitate cross-functional collaboration and ensure thorough documentation. These skills ensure that computer systems are validated to meet regulatory standards, minimizing risk and ensuring product quality in regulated industries.

What are some common challenges Csv Engineers face when working remotely, and how can they be overcome?

As a remote Csv Engineer, one common challenge is ensuring seamless data integration and communication with cross-functional teams, especially when dealing with large datasets or sensitive information. To overcome this, it's important to establish clear documentation practices, use collaborative tools for version control and data sharing, and schedule regular check-ins with stakeholders. Staying proactive in communication and leveraging secure remote access tools can help maintain workflow efficiency and data integrity.

What does a CSV Engineer do in a remote setting?

A CSV Engineer, or Computer System Validation Engineer, ensures that computer systems used in regulated industries (like pharmaceuticals or biotechnology) meet necessary compliance and validation standards. Working remotely, they develop validation protocols, conduct testing, document results, and ensure that all processes comply with regulatory guidelines such as FDA or GxP. They often collaborate with cross-functional teams via digital communication tools and use remote access to systems for validation activities. Their work is crucial for maintaining data integrity, system reliability, and regulatory compliance.
What are popular job titles related to Csv Engineer Remote jobs in Seattle, WA? For Csv Engineer Remote jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Csv Engineer Remote jobs in Seattle, WA look for? The top searched job categories for Csv Engineer Remote jobs in Seattle, WA are:
Csv Engineer Remote jobs near you
Infographic showing various Csv Engineer Remote job openings in Seattle, WA as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,354 per year, or $53.1 per hour.
Data Engineer

Data Engineer

Noblesoft Technologies

Seattle, WA • Remote

$117K - $140K/yr

Contractor

Posted 27 days ago

Job description

Job Role: Senior Data Engineer
Location: Remote
 
JD:
 
 
Key Responsibilities
• Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory.
• Build and maintain a metadata-driven Lakehouse architecture with threaded datasets to support multiple consumption patterns.
• Develop agent-specific data lakes and an orchestration layer for an uber-agent that can query across agents to answer customer questions.
• Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics tools.
• Ensure data quality, lineage, and governance across all ingestion and transformation processes.
• Collaborate with product teams to understand data needs and deliver scalable solutions.
• Optimize performance and cost across storage and compute layers.
Required Qualifications
• 5+ years of experience in data engineering with a focus on Microsoft Azure and Fabric technologies.
Strong expertise in:
o Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks)
o Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2
o Power BI and/or other visualization tools
o Azure Functions, Logic Apps, and orchestration frameworks
o SQL, Python and PySpark/Scala
• Experience working with structured and semi-structured data (JSON, XML, CSV, Parquet).
• Proven ability to build metadata-driven architectures and reusable components.
• Familiarity with agent-based architectures and conversational AI integration is a plus.
• Strong understanding of data modeling, data governance, and security best practices.
Preferred Qualifications
• Experience with Azure OpenAI, Copilot Studio, or similar conversational platforms.
• Knowledge of CI/CD pipelines and DevOps practices for data engineering.
• Experience in building multi-tenant data platforms or domain-specific lakes.