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Databricks Developer Jobs in Oregon (NOW HIRING)

Design, implement, and maintain scalable DevOps solutions using Databricks and Terraform * Automate infrastructure provisioning, configuration, and deployment processes * Collaborate with development ...

$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 ...

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

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 ...

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 ...

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 ...

Teradata

Beaverton, OR · On-site

$60/hr

Requirement is for a data engineer with knowledge in Microsoft Fabrics, Databricks, Teradata, Airflow & Snowflake Technical skills required are below: * Microsoft Fabrics * Databricks * Teradata

$105K - $143K/yr

The Senior Data Engineer is the lead delivery role for structured data engineering in Databricks. This role owns lakehouse execution across bronze, silver, and gold; common data model implementation;

Remote Python Developer

Medford, OR · On-site

$53.25 - $73.50/hr

NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow. For Java/full stack/software positions ... Experience in programming language Java and understanding of the software development life cycle.

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 ...

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 ...

OR

$114K - $137K/yr

Databricks certifications - Associate/Professional * AWS Certified Solutions Architect - Associate/Professional * AWS Certified Developer - Associate/Professional * AWS Certified DevOps Engineer

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

Role Overview We are looking for a Sr. DevOps Engineer to help build, operate, and continuously ... Experience with data platforms (Databricks, Snowflake, Redshift) * GCP experience a plus; comfort ...

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Databricks Developer information

See Oregon salary details

$22

$65

$84

How much do databricks developer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for databricks developer in Oregon is $65.01, according to ZipRecruiter salary data. Most workers in this role earn between $58.46 and $71.92 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 Oregon? The most popular types of Databricks Developer jobs in Oregon are:
What are popular job titles related to Databricks Developer jobs in Oregon? For Databricks Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Databricks Developer jobs in Oregon look for? The top searched job categories for Databricks Developer jobs in Oregon are:
What cities in Oregon are hiring for Databricks Developer jobs? Cities in Oregon with the most Databricks Developer job openings:
Infographic showing various Databricks Developer job openings in Oregon as of June 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $135,228 per year, or $65 per hour.

Full-time

Posted 2 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 Responsibilities:

As a DevOps Engineer in this role, you will be responsible for designing, implementing, and maintaining robust infrastructure solutions that support scalable data workflows. You will work closely with cross-functional teams to automate deployment processes, optimize system performance, and ensure high availability of critical applications. Your day-to-day tasks will involve managing cloud resources, orchestrating continuous integration and delivery pipelines, and troubleshooting complex issues to minimize downtime. Leveraging your expertise, you will play a key role in streamlining operations and enhancing the reliability of the overall technology environment.
Exposure to tools such as Databricks and Terraform will be highly beneficial, as you will utilize these platforms to automate infrastructure provisioning and manage data engineering pipelines. Familiarity with infrastructure code practices, cloud service providers, and monitoring solutions will further support your success in this position. Experience with version control systems, containerization technologies, and configuration management tools will also help you excel. A background in collaborating with development and operations teams, as well as a track record of implementing scalable and secure solutions, will position you to make a significant impact in this dynamic environment.

Position Responsibilities:

  • Design, implement, and maintain scalable DevOps solutions using Databricks and Terraform
  • Automate infrastructure provisioning, configuration, and deployment processes
  • Collaborate with development and data engineering teams to streamline CI/CD pipelines
  • Monitor, troubleshoot, and optimize cloud-based environments for performance and reliability
  • Ensure security best practices are followed in all infrastructure and deployment activities
  • Develop and maintain documentation for infrastructure and deployment processes
Employment Type: Full time