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Databricks Developer Jobs in Portland, OR (NOW HIRING)

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

... Azure, Databricks, and ML modeling/Gen AI Prompt writing. * Experience with managing agile backlog of engineering and data science-based services. * Familiar with SAFE agile practices and task ...

... Azure, Databricks, and ML modeling/Gen AI Prompt writing. * Experience with managing agile backlog of engineering and data science-based services. * Familiar with SAFE agile practices and task ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Databricks AWS Apache Spark Python PySpark Previous Clients experience a plus. Any ETWs let go at the end of 05/31 can be considered since a 90 day break would be fulfilled. Skills Data engineer ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... Databricks • Apache Spark • Deep Learning Frameworks (TensorFlow, PyTorch) • Lakehouse architecture • Large-Scale Data Preprocessing • Programming (Python, SQL, C++) • LLM Models ...

This role sits at the intersection of engineering, data, and marketing and is responsible for connecting our CDP (Tealium), enterprise data platform (Databricks), and activation channels (web, Client ...

Our work in advanced packaging and silicon enablement supports engineering teams in staying at the ... Databricks, or Kafka. * Familiarity with databases (SQL/NoSQL), version control, testing, CI/CD ...

... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks - Improving Cloud resources for cost, performance, and scalability - Proficiency in SQL and ...

Senior Data Architect

Beaverton, OR

$70 - $93.75/hr

... Databricks, Snowflake and Hive bigdata implementations to support data, BI Analytics and AI/ML ... Work with engineering squads to create physical data designs and business rule implementation

Senior Data Architect

Beaverton, OR · On-site

$71 - $95/hr

... Databricks, Snowflake and Hive bigdata implementations to support data, BI Analytics and AI/ML ... Work with engineering squads to create physical data designs and business rule implementation

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Databricks Developer information

See Portland, OR salary details

$22

$65

$84

How much do databricks developer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for databricks developer in Portland, OR is $65.21, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $72.16 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

Is Databricks a high paying company?

As a Databricks Developer, salary levels are generally competitive within the tech industry, often reflecting expertise in cloud platforms, big data tools, and programming skills. Compensation can vary based on experience, location, and certifications, but many roles in this field offer above-average salaries for data and cloud professionals.

What are the key skills and qualifications needed to thrive in the Databricks Developer position, and why are they important?

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data processing and analytics. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers, with many companies seeking professionals with certification and experience in the platform.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Developer can be competitive, requiring strong skills in Apache Spark, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering and analytics tools to improve their chances.

Is Databricks need coding?

As a Databricks Developer, coding skills are essential because the role involves writing and optimizing code in languages such as Python, Scala, or SQL to develop data pipelines and analytics solutions within the Databricks platform. Familiarity with Spark and data engineering concepts is also important for effective performance.
What are the most commonly searched types of Databricks Developer jobs in Portland, OR? The most popular types of Databricks Developer jobs in Portland, OR are:
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What job categories do people searching Databricks Developer jobs in Portland, OR look for? The top searched job categories for Databricks Developer jobs in Portland, OR are:
Test Lead - Accessibility Testing

Test Lead - Accessibility Testing

Noblesoft Technologies

Oregon City, OR • Remote

$48.50 - $66.25/hr

Contractor

Posted 10 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