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Databricks Jobs in Oregon (NOW HIRING)

Production experience in core data technologies and platforms (e.g., Spark, HDFS, Snowflake, Databricks, Redshift, Amazon EMR). * Complete software development lifecycle experience, including design ...

Experience working with Azure data services (including Synapse or equivalent) , Snowflake , and Databricks. * Familiarity with building AI-enabled applications using AWS services (e.g., Bedrock ...

OR · On-site

$130K - $145K/yr

... Databricks, SFTP/FTPS, and CRM platforms - Coordinate enterprise data delivery workflows, structured data feeds, and client-specific transformation requirements - Troubleshoot technical, integration ...

Apply Early

Leverage Databricks platform capabilities (Delta Lake, Spark, notebooks, workflows) to build and maintain scalable data and analytics solutions. * Integrate AI/ML models and advanced analytics into ...

Experience with SQL, Tableau, Snowflake, and/or Databricks Knowledge, Skills and Abilities Required Knowledge * Strong understanding of data quality, data analytics, and data visualization principles

Data Engineer AI II

$120K - $145K/yr

Databricks and/or Snowflake environment familiarity a big plus. Proficient in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook. Flexible work schedule. Experience with project ...

Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting edge models. Use latest statistical and coding techniques on structured and un-structured data

... Databricks Unified Data Analytics Platform for advanced data analytics and visualization - Implementing data security best practices to protect sensitive information and maintain compliance ...

General Information

Portland, OR · On-site

$90 - $100/hr

Strong expertise in modern data ecosystems, including experience with AWS-based platforms and tools such as Databricks * Experience designing and guiding implementation of end-to-end data platforms ...

Software Developer II

OR · Remote

$67K - $90K/yr

Leverage Apache Spark and Databricks to support large-scale data processing and modernization initiatives. * Support event-driven architectures using Kafka for real-time data publishing and system ...

... Databricks, and the Cloudera/Hadoop ecosystem. * Lead and manage a team of data engineers in delivering quality code and building data products and use cases, fostering a culture of engineering ...

Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting edge models. Use latest statistical and coding techniques on structured and un-structured data

... Databricks, Snowflake, NoSQL, and Vector databases in a Retrieval Augmented Generative AI architecture. - Apply Lambda architecture, database design, and data modeling to support scalable and ...

Data Engineer - Manager

Portland, OR · On-site

$99K - $232K/yr

... Databricks and Snowflake - Guiding team members in data architecture development and database optimization - Validating data quality, security, and compliance within analytics frameworks ...

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Databricks information

See Oregon salary details

$24.8K

$39.9K

$53.9K

How much do databricks jobs pay per year?

As of Jul 5, 2026, the average yearly pay for databricks in Oregon is $39,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,400.00 and $43,900.00 per year, depending on experience, location, and employer.

What is a Databricks job?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

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

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Oregon? The most popular types of Databricks jobs in Oregon are:
What are popular job titles related to Databricks jobs in Oregon? For Databricks jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Databricks jobs? Cities in Oregon with the most Databricks job openings:
Infographic showing various Databricks job openings in Oregon as of June 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $39,874 per year, or $19.2 per hour.

$56 - $76.50/hr

Contractor

Posted 7 days ago


Job description


We are looking for a motivated and experienced administrator / Engineer to join our Big Data cloud operations team. This is a unique opportunity to support a dynamic team of data scientists, data engineers, and data analysts working with cutting edge Big Data technology.
We are looking for experience in Hadoop, AWS, Systems/Data Administration and the ability work with 3rd party applications and databases. There will be work to set up new infrastructure components, integrate with existing data systems, create automation, support engineering and business users.
Job Qualifications
Big Data / Hadoop: 2 years, experience with Spark or Hive desired
AWS: 2 year
Programming: Shell, Python, REST APIs, and JSON
Linux: 5 years systems administration
Applications: Experience with 3rd party software implementation and integration
Version Control: Experience with version control platforms (Git, BitBucket)
User Support: Experience with end user support required, experience supporting data science (machine learning), engineers, and analysts desired
Infrastructure Operations: Experience with infrastructure operations, DevOps automation, and responding to production incidents
Data Science Tools: experience installing & maintaining collaborative Notebook environments (JupyterHub, RStudio, Zeppelin, or Databricks)
  • Agile/Kanban/Scrum experience
  • Demonstrated communication andinterpersonal skills
  • Ability to work well and thrive in afast-moving culture with complex technology applications

Educational qualifications
• BS in Computer Science or related field, or excellent qualifications with relevant experience