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Databricks Developer Jobs in Oregon (NOW HIRING)

KeyLogic, LLC

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

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 ...

SugarAI

OR · On-site

$114K - $137K/yr

As a Senior Data Engineer, you will own the Databricks pipelines that make this possible, driving production reliability, cost efficiency, and platform growth through customer onboarding and legacy ...

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 ...

Sonny's Enterprises LLC

Build Databricks-native or Databricks-integrated applications using Unity Catalog-governed data ... Partner with Data Engineering, BI, analytics, and business teams to align application requirements ...

Cotiviti

Data Engineer - AI (Spark, Databricks and GCP)

$101K - $132K/yr

Using their technical experience in ETL processes, Data Engineers ensure operational functions are ... Any Databricks / AWS certifications is a big plus. * Familiarity with data pipeline orchestration ...

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 ...

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 ...

Sonny's Enterprises LLC

$114K - $137K/yr

The AI/ML Engineer builds, deploys, and supports production forecasting and AI capabilities on top of the company's governed Databricks lakehouse foundation. This role focuses on feature engineering ...

Sonny's Enterprises LLC

$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;

Lumen Technologies

Software Developer II

OR · Remote

Leverage Apache Spark and Databricks to support large-scale data processing and modernization ... Proficiency in Data Engineering & Databases - PostgreSQL knowledge (queries, migrations ...

Cotiviti

$78K - $120K/yr

Overview The Data Engineer is responsible for architecting, developing, and maintaining scalable ... Develop and manage data workflows in Databricks, including authoring, executing, and optimizing ...

9th Way Insignia

OR

$54.50 - $72/hr

The position is a Senior Engineer-level, task-based role supporting the VA Office of Academic ... Significant experience with Azure Cloud Solution, with a focus on Databricks and Synapse, API ...

9th Way Insignia

OR

$54.50 - $72/hr

The Senior Software Developer provides expert-level guidance on backend and application-layer ... Significant experience with Azure Cloud Solution, with a focus on Databricks and Synapse, API ...

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Databricks Developer information

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How much do databricks developer jobs pay per hour?

As of Jul 19, 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 job?

A Databricks Developer typically earns a competitive salary due to the specialized skills required in big data processing, cloud computing, and Spark platform expertise. Salaries vary based on experience, location, and certifications, but generally align with other data engineering and cloud development roles in the industry.

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 analytics and machine learning. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers.

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.

What jobs in the US pay 300,000 a year?

For a Databricks Developer, earning $300,000 annually typically requires extensive experience, advanced skills in big data processing, and often senior or lead roles in data engineering or analytics. High-paying positions may also involve leadership responsibilities, specialized certifications, or working in industries like finance or technology with complex data environments.

Is Databricks need coding?

Databricks developers typically need coding skills in languages such as Python, Scala, or SQL to build and optimize data pipelines, perform data analysis, and develop machine learning models within the platform. Proficiency in these programming languages is essential for most roles involving Databricks. Familiarity with Spark and cloud environments is also beneficial.
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Databricks Developer jobs near you
DevOps Engineer, Databricks

DevOps Engineer, Databricks

KeyLogic, LLC

Remote

Full-time

Re-posted 23 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

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