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Remote Azure Synapse Analytics Jobs in Portland, OR

UI .Net Developer

Portland, OR · Remote

$53 - $69/hr

Ability to analyze problems and develop solutions; to code, test, and debug computer programs; and ... using Windows Azure JS testing with Jasmine OWIN/Katana Experience working with remote teams.

Developer

Portland, OR · On-site +1

$40 - $45/hr

E ● Analyze complex data issues, troubleshoot system errors, and perform root-cause analysis to ... Cloud environments (AWS/Azure) and data tools (Python, Workato, Airflow, Git). ● Modern web ...

With relentless innovation in precise positioning, modeling and data analytics, Trimble enables ... Deep proficiency in Cloud environments, specifically Microsoft Azure Cloud and integration ...

Remote Azure Synapse Analytics information

See Portland, OR salary details

$64.7K

$109.2K

$136.8K

How much do remote azure synapse analytics jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote azure synapse analytics in Portland, OR is $109,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $129,900.00 per year, depending on experience, location, and employer.

What is a remote Azure Synapse Analytics professional?

A Remote Azure Synapse Analytics professional is an expert who works with Microsoft Azure Synapse Analytics—a cloud-based analytics service—while working remotely, often from home or another location outside of a traditional office. Their responsibilities typically include designing, developing, and managing data integration, analytics, and big data solutions using Synapse. They collaborate with data engineers, data scientists, and business stakeholders to deliver insights and ensure the efficient processing of large datasets. Remote professionals use cloud tools to access resources and communicate with teams, making location flexibility possible.

What are the key skills and qualifications needed to thrive as a remote Azure Synapse Analytics professional?

To thrive as a Remote Azure Synapse Analytics professional, you need strong expertise in data engineering, SQL, data warehousing concepts, and a solid understanding of Azure cloud platforms, often supported by a degree in computer science or a related field. Familiarity with tools such as Azure Synapse Studio, Power BI, Azure Data Factory, and relevant Microsoft certifications like Azure Data Engineer Associate is typically required. Excellent problem-solving abilities, strong communication skills, and the ability to work independently are crucial soft skills for this remote role. These competencies are vital for efficiently designing, implementing, and managing data solutions that drive business intelligence and decision-making in a distributed work environment.

What are some common challenges faced by professionals working remotely with Azure Synapse Analytics, and how can they be addressed?

Professionals working remotely with Azure Synapse Analytics often face challenges related to secure data access, collaboration with distributed teams, and managing complex cloud resources. To address these, it's important to establish robust remote access protocols, such as using VPNs and role-based access controls. Regular communication using collaboration tools and thorough documentation of data workflows help maintain team alignment. Additionally, automating resource management and monitoring via Azure tools can improve efficiency and reduce the risk of errors in a remote setting.

What is the difference between Remote Azure Synapse Analytics vs Data Engineer?

AspectRemote Azure Synapse AnalyticsData Engineer
Required CredentialsAzure certifications, SQL, data warehousing skillsData engineering certifications, SQL, cloud platform knowledge
Work EnvironmentCloud-based, remote, collaborative teamsOn-premises or cloud, often remote, technical focus
Industry UsageData analytics, business intelligence, cloud solutionsData pipeline development, database management, ETL processes

Remote Azure Synapse Analytics specialists focus on designing and managing data analytics solutions using Azure cloud services, while Data Engineers build and maintain data pipelines and infrastructure. Both roles require similar technical skills and certifications but differ in their primary focus and daily tasks.

What are popular job titles related to Remote Azure Synapse Analytics jobs in Portland, OR?

For Remote Azure Synapse Analytics jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Azure Synapse Analytics jobs in Portland, OR look for?

The top searched job categories for Remote Azure Synapse Analytics jobs in Portland, OR are:

Infographic showing various Remote Azure Synapse Analytics job openings in Portland, OR as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $109,232 per year, or $52.5 per hour.

Technical Lead - NLP

Noblesoft Technologies

Portland, OR • Remote

Contractor

Re-posted 15 days ago


Job description

Job Role: Senior Technical Lead - NLP
Location: Remote (Support in PST hours)
 
Experience level: 10 + years
Must have skills: SDET skills, Azure devops, python, pytest test automation and Framework, AI ML practices, RAGAS, LLMs
Brief JD:
  • Experience in designing LLM/RAG test automation solutions
  • Experience in testing for bias, drift, and fairness.
  • Familiarity with performance metrics (precision, recall, F1, ROC-AUC).
  • Knowledge of MLflow MLOps framework 
  • Knowledge of tools for synthetic data generation and boundary testing
  • Knowledge of Azure DevOps for CI/CD pipeline development
  • Experience in RAG/pipeline evaluation frameworks - 
    • pytest: Test automation framework
    • DeepEval or TruLens: LLM test assertions
    • RAGAS: RAG-specific metrics
    • Eleuther: LLM evaluation harness
    • Garak or Promptfoo: LLM red-teaming
    • Evidently: Drift/performance monitoring
  • Exposure to explainability frameworks (SHAP, LIME, Captum)
• Handson experience in API and Database testing.
• Practical knowledge of Databricks, Azure Cloud services land distributed data validation.
• Proficiency with Azure DevOps pipelines YAML templates, agent pools, CICD workflows.
• Experience in implementing AIML practices in testing e.g., test generation, anomaly detection, log analysis to improve test efficiency and coverage.
• Familiarity with Cucumber (BDD) and test reporting frameworks (e.g., Allure).
• Strong understanding of integration testing across Databricks streaming jobs, applications and microservices.
• Experience with performance testing tools (JMeter, LoadRunner, or equivalent).
• Experience with Pester framework for validating PowerShell scripts and infrastructure automation.
• Solid understanding of Agile/Scrum methodology and handson usage of JIRA.
• Excellent problem-solving, debugging, and communication skills, with the ability to advise development teams on testing best practices