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Databricks Engineer Jobs in Oregon (NOW HIRING)

campus4tech

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 ...

Amerilife Group, LLC

OR · On-site

Experience with Databricks notebooks, clusters, and workflows for data science and ML * Working knowledge of PySpark for large-scale data processing and feature engineering * Advanced SQL skills ...

Pwc

Data Engineer - Senior Associate

Portland, OR

$77K - $202K/yr

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

Nimble Gravity

OR

... Databricks, Fabric, and adjacent platforms fit, where they don't, and how Nimble Gravity will deliver on each. You stay close enough to the technology to be credible with architects and engineers ...

Nike

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 ...

Instacart

OR

Overview As a Staff Software Engineer, you will play a key role in shaping and advancing a robust ... Familiarity with Snowflake, Databricks, DBT, Airflow, Python, Terraform, and Go.

Pwc

Data Engineer - Manager

Portland, OR · On-site

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

Juvare

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

... Engineer to help build, operate, and continuously improve the secure cloud platforms that power ... Experience with data platforms (Databricks, Snowflake, Redshift) * GCP experience a plus; comfort ...

Shift Technology

OR · Hybrid

... data engineering, coding, business understanding and client engagement. * Our company is small ... Databricks Ecosystem: Deep expertise in Mosaic AI (formerly MosaicML) , Unity Catalog , and Delta ...

YipitData (Alternative)

Data Engineering Manager

OR · On-site +1

As a Data Engineering Manager , you will design and maintain large-scale data pipelines, define ... Work extensively with Databricks and various AI toolings for large-scale data processing and ...

DevRev

OR

About the role At DevRev, Enterprise Sales Engineers are customer-obsessed technical professionals ... Snowflake, BigQuery, Databricks

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Showing results 1-20

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Oregon

Databricks Engineer information

See Oregon salary details

$62.9K

$118K

$214.6K

How much do databricks engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for databricks engineer in Oregon is $118,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $140,100.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Oregon? For Databricks Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Oregon look for? The top searched job categories for Databricks Engineer jobs in Oregon are:
What cities in Oregon are hiring for Databricks Engineer jobs? Cities in Oregon with the most Databricks Engineer job openings:
Databricks Engineer jobs near you

DevOps Engineer - Big Data/AWS

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

$56 - $76.50/hr

Contractor

Re-posted 21 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

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