2

Remote Oracle Data Engineer Jobs in Seattle, WA (NOW HIRING)

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark). * Build and manage API ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Telemetry Data Engineer

Redmond, WA · On-site +1

$55 - $64/hr

Preference given to Redmond WA for both candidates, but open to remote. *IF candidates are in the ... This Telemetry Data Engineer will play a key role in building automated frameworks that validate ...

Preference given to Redmond WA for both candidates, but open to remote. *IF candidates are in the ... This Telemetry Data Engineer will play a key role in building automated frameworks that validate ...

Programming Languages including Java, Python, C++, Objective-C, JavaScript, Perl, and SQL ... Only Oracle brings together the data, infrastructure, applications, and expertise to power ...

Programming Languages including Java, Python, C++, Objective-C, JavaScript, Perl, and SQL ... Only Oracle brings together the data, infrastructure, applications, and expertise to power ...

Seattle (Remote, some travel required) We are seeking a highly technical, client-facing AI & Data ... Provide technical leadership to global development and data engineering teams. Serve as the ...

Senior Platform Software Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

... engineering effort into an AI-assisted software engineering workflow. Using AI-generated service ... Only Oracle brings together the data, infrastructure, applications, and expertise to power ...

Senior Platform Software Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

... engineering effort into an AI-assisted software engineering workflow. Using AI-generated service ... Only Oracle brings together the data, infrastructure, applications, and expertise to power ...

Senior Platform Software Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

... engineering effort into an AI-assisted software engineering workflow. Using AI-generated service ... Only Oracle brings together the data, infrastructure, applications, and expertise to power ...

... engineering effort into an AI-assisted software engineering workflow. Using AI-generated service ... Only Oracle brings together the data, infrastructure, applications, and expertise to power ...

next page

Showing results 1-20

Remote Oracle Data Engineer information

See Seattle, WA salary details

$24

$78

$109

How much do remote oracle data engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote oracle data engineer in Seattle, WA is $78.15, according to ZipRecruiter salary data. Most workers in this role earn between $70.29 and $87.55 per hour, depending on experience, location, and employer.

What are popular job titles related to Remote Oracle Data Engineer jobs in Seattle, WA?

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

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

The top searched job categories for Remote Oracle Data Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Oracle Data Engineer jobs?

Cities near Seattle, WA with the most Remote Oracle Data Engineer job openings:

Infographic showing various Remote Oracle Data Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $162,542 per year, or $78.1 per hour.

Data Engineer

Noblesoft Technologies

Seattle, WA • Remote

$117K - $140K/yr

Contractor

Re-posted 22 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.