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Remote Azure Databricks Jobs in Oregon City, OR (NOW HIRING)

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Remote Azure Databricks information

What is a remote Azure Databricks?

Remote Azure Databricks jobs are positions where professionals use Azure Databricks—a cloud-based analytics platform optimized for big data and machine learning—while working from a remote location. These roles typically involve tasks like building data pipelines, analyzing large datasets, developing and deploying machine learning models, and collaborating with teams virtually. Remote Azure Databricks professionals need strong skills in Spark, Python or Scala, and a good understanding of cloud computing. They often work as data engineers, data scientists, or analytics specialists, leveraging the platform’s capabilities to deliver data-driven insights for organizations.

What is the difference between Remote Azure Databricks vs Remote Data Engineer?

AspectRemote Azure DatabricksRemote Data Engineer
Required CredentialsAzure certifications, Spark/Databricks knowledgeData engineering certifications, SQL, cloud platform skills
Work EnvironmentCloud-based, collaborative platform for data analyticsData pipelines, database management, cloud environments
Industry UsageData analytics, AI, machine learning projectsData pipeline development, ETL processes

Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.

What skills and qualifications are needed to thrive as a remote Azure Databricks professional?

To thrive as a Remote Azure Databricks professional, you need strong expertise in data engineering, cloud computing, and proficiency in programming languages such as Python or Scala, typically supported by a relevant degree or certifications. Familiarity with Azure services, Databricks platform, Spark, and data pipeline orchestration tools is essential, often validated by Microsoft Azure or Databricks certifications. Excellent problem-solving, collaboration, and communication skills help you work effectively in distributed teams and convey complex technical concepts clearly. These skills and qualifications ensure robust data solutions, efficient remote teamwork, and the ability to leverage cloud analytics for business impact.

What are common challenges faced by remote Azure Databricks engineers, and how can they be managed?

Remote Azure Databricks engineers often encounter challenges related to collaboration and data security. Since Databricks projects typically involve large datasets and multiple stakeholders, coordinating work across time zones and ensuring secure data access can be complex. To manage these challenges, it's important to establish clear communication channels, use project management tools, and follow best practices in data governance. Regular team meetings and thorough documentation also help maintain alignment and ensure project success.
What job categories do people searching Remote Azure Databricks jobs in Oregon City, OR look for? The top searched job categories for Remote Azure Databricks jobs in Oregon City, OR are:
Remote Azure Databricks jobs near you

Test Lead - Accessibility Testing

Noblesoft Technologies

Oregon City, OR • Remote

$48.50 - $66.25/hr

Contractor

Re-posted 18 days ago

Job description

Job Role: Senior Test Lead - Accessibility Testing
Location: Remote
 
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