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Remote Microsoft Data Engineer Jobs in Bothell, WA

Noblesoft Technologies

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 ...

Laird Norton Wetherby

Senior Data Architect

Seattle, WA · On-site +1

$76.50 - $102.50/hr

The ideal candidate will combine deep SQL and data engineering expertise with a strong ... Experience managing enterprise data warehouses on Microsoft SQL Server. * Experience with SSIS, ...

OTSI

AI & Data Solutions Architect

Seattle, WA · Remote

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 ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data ...

The AES Group

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

Remote - USA The AES Group is hiring an experienced Senior DevOps Engineer to join our growing ... Support Azure cloud-native services, including Azure Databricks, for data engineering and AI/ML ...

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All JobsMicrosoft Data Engineer JobsRemote Microsoft Data Engineer JobsRemote Microsoft Data Engineer Jobs in Bothell, WA

Remote Microsoft Data Engineer information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

How much do remote microsoft data engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote microsoft data engineer in Bothell, WA is $145,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

How does a Remote Microsoft Data Engineer typically collaborate with cross-functional teams to deliver data solutions?

As a Remote Microsoft Data Engineer, you will frequently collaborate with data analysts, software engineers, and business stakeholders to design, implement, and optimize data pipelines and storage solutions using Microsoft Azure and related technologies. Communication often occurs through virtual meetings, project management tools, and code repositories, making clear documentation and proactive updates essential. You may participate in sprint planning, code reviews, and troubleshooting sessions to ensure that data solutions align with business goals and technical requirements. Building strong remote working relationships and maintaining transparency are key to successful collaboration in this role.

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

AspectRemote Microsoft Data EngineerRemote Data Analyst
Required CredentialsMicrosoft certifications, SQL, cloud platform knowledgeData analysis certifications, SQL, Excel skills
Work EnvironmentCloud-based, technical teams, data engineering projectsBusiness teams, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare using Microsoft toolsMarketing, retail, finance analyzing data trends

The Remote Microsoft Data Engineer focuses on building and maintaining data pipelines using Microsoft technologies, while the Remote Data Analyst interprets data to provide business insights. Both roles require SQL skills and often work in cloud environments, but their daily tasks and end goals differ significantly.

What is a Remote Microsoft Data Engineer?

A Remote Microsoft Data Engineer is a professional who designs, builds, and manages data solutions using Microsoft technologies, such as Azure Data Factory, SQL Server, and Power BI, while working from a remote location. Their responsibilities include developing data pipelines, implementing data models, and ensuring data quality and security. They collaborate with other IT professionals and business stakeholders to enable effective data-driven decision making within an organization. Working remotely, they use online tools and platforms to communicate and complete their tasks efficiently.

What are the key skills and qualifications needed to thrive as a Remote Microsoft Data Engineer, and why are they important?

To thrive as a Remote Microsoft Data Engineer, you need expertise in data modeling, ETL processes, and strong proficiency with SQL, along with a degree in computer science or a related field. Familiarity with Microsoft data platforms such as Azure Data Factory, SQL Server, Power BI, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Excellent problem-solving, communication, and collaboration skills are crucial for remote teamwork and effective project execution. These skills ensure the development of robust data solutions, facilitate seamless collaboration, and support informed decision-making in distributed environments.
What are popular job titles related to Remote Microsoft Data Engineer jobs in Bothell, WA? For Remote Microsoft Data Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Remote Microsoft Data Engineer jobs in Bothell, WA look for? The top searched job categories for Remote Microsoft Data Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Remote Microsoft Data Engineer jobs? Cities near Bothell, WA with the most Remote Microsoft Data Engineer job openings:
Remote Microsoft Data Engineer jobs near you
Data Engineer

Data Engineer

Noblesoft Technologies

Seattle, WA • Remote

$117K - $140K/yr

Contractor

Re-posted 9 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.