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Databricks Engineer Jobs in Oregon (NOW HIRING)

KeyLogic, LLC

$114K - $137K/yr

KeyLogic is seeking Databricks Engineers to join our growing team supporting the Department of Energy (DOE) The position is Remote and requires U.S. Citizenship Experience with the Department of ...

KeyLogic, LLC

KeyLogic is seeking Databricks Engineers to join our growing team supporting the Department of Energy (DOE) The position is Remote and requires U.S. Citizenship Experience with the Department of ...

Deloitte

Databricks Manager

Portland, OR · On-site +1

These solutions are powered by engineering for business advantage, transforming mission-critical ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

1 point system

Databricks Lead/Architect

Portland, OR · On-site

$58.50 - $80.25/hr

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related quantitative ... Databricks Certified Data Engineer (Associate or Professional) and/or Azure Data Engineer Associate ...

Kynite

Azure Databricks Admin

OR · On-site +1

$51.50 - $64/hr

... engineer permanent solutions, and coordinate implementation. • Provide work guidance to less ... Azure Databricks at admin capacity. • Must have clear understanding of NSGs, azure baseline ...

Kynite

Azure Databricks Admin

OR

$51.50 - $64/hr

... engineer permanent solutions, and coordinate implementation. Provide work guidance to less ... Databricks at admin capacity. Must have clear understanding of NSGs, azure baseline security ...

Nike

Software Engineer

Beaverton, OR · On-site

Use Databricks Catalog for Data Governance and Lineage Tracking; Real-time Change Data Capture ... data engineering from ingestion, transformation, and consumption in addition to designing and ...

iHerb

OR

$114K - $137K/yr

Expertise with Databricks and other cloud data warehousing solutions such as S3, Redshift, or ... Ability to guide junior engineers and contribute to technical design reviews. * Strong ...

CenterWell

Senior Business Intelligence Engineer

Salem, OR · On-site

$105K - $144K/yr

The Senior Business Intelligence Engineer's work assignments involve moderately complex to complex ... Hands-on experience with Azure Databricks, including notebook development using PySpark

Cotiviti

Senior Data Engineer AI

$140K - $165K/yr

Using their technical experience in ETL processes, Data Engineers ensure operational functions are ... Any Databricks / AWS certifications is a big plus. * Strong SQL and data modeling skills.

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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 Jun 25, 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 engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer 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 company size and industry demand.

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 career choice with good job prospects.

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.

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
Infographic showing various Databricks Engineer job openings in Oregon as of June 2026, with employment types broken down into 68% Full Time, 24% Part Time, and 8% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $118,027 per year, or $56.7 per hour.

Data Engineer, Databricks

KeyLogic, LLC

Remote

$114K - $137K/yr

Full-time

Posted 29 days ago

Job description

KeyLogic is seeking Databricks Engineers to join our growing team supporting the Department of Energy (DOE)

The position is Remote and requires U.S. Citizenship

Experience with the Department of Energy (DOE) is required

Position Requirements:

  • U.S. Citizenship

  • Experience with the Department of Energy (DOE)

Position Description:

As a Data Engineer in this role, you will be responsible for designing, building, and maintaining robust data pipelines that support the organization's analytical and operational needs. You will work closely with cross-functional teams to ensure data is collected, processed, and made available in a reliable and scalable manner. Leveraging your expertise, you will optimize data workflows and implement best practices for data integration, transformation, and storage. Your contributions will directly impact the efficiency and effectiveness of data-driven decision-making across the business.
To excel in this position, you will utilize tools such as Databricks for advanced data processing and analytics, and Terraform for infrastructure automation and management. Familiarity with cloud-based environments, version control systems, and CI pipelines will further enhance your ability to deliver high-quality solutions. Experience with large-scale data architectures, real-time data streaming, and performance tuning will help you address complex challenges and drive continuous improvement. Your background in collaborating with diverse technical teams and managing end-to-end data solutions will be instrumental in achieving success in this dynamic environment.

Position Responsibilities:

  • Design, build, and maintain scalable data pipelines using Databricks
  • Develop and implement infrastructure as code solutions with Terraform
  • Collaborate with cross-functional teams to understand data requirements and deliver robust solutions
  • Optimize data workflows for performance, reliability, and scalability
  • Monitor, troubleshoot, and resolve issues related to data processing and infrastructure
  • Ensure data quality and integrity throughout the data lifecycle
  • Automate repetitive tasks to improve efficiency and reduce manual intervention
Employment Type: Full time

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