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Databricks Developer Jobs in Oregon (NOW HIRING)

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR

$119K - $143K/yr

Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite) Contract-to-Hire Job ... Use Git, CI/CD, and DevOps practices to support automated and reliable data deployments.

New

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 ...

Amerilife Group, LLC

Director, Data Engineering

OR · On-site +1

Lead the Enterprise Databricks Platform * Serve as the organization's technical leader and subject ... Establish CI/CD, automated testing, infrastructure as code, and DevOps best practices. * Improve ...

Concora Credit Inc.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

Concora Credit Inc.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

Concora Credit Inc.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

Nike

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Databricks Certified Developer for Apache Spark) WHAT YOU'LL WORK ON You'll be at the forefront of building Nike's data foundation and semantic layer - designing and delivering the pipelines ...

Amerilife Group, LLC

Senior Data Engineer

OR · On-site +1

$142K - $160K/yr

The ideal candidate has deep expertise in Databricks, Apache Spark, Delta Lake, and modern ... Strong Git, CI/CD, and DevOps practices. * Experience with performance tuning and optimization.

YipitData

Senior Software Engineer (Cloud Infrastructure)

OR · On-site +1

$108K - $147K/yr

... DevOps initiatives on mission-critical systems that our customers rely on 24/7. You will work on a modern tech stack built with AWS Cloudformation, Databricks, Kubernetes, and Terraform. This is a ...

Russell, Tobin & Associates

Data Engineer 5

Beaverton, OR · On-site

$70 - $78/hr

Data Engineer Location: Beaverton, OR - Hybrid (4 days onsite / 1 day remote per week) Duration ... Build and enhance data solutions, tools, and new data products using Databricks, Spark, Python ...

Apex Systems

DevOps Engineer

Portland, OR · On-site

$56 - $76.50/hr

Job#: 3047774 DevOps Engineer Location: Remote Role Overview We are seeking a senior-level DevOps ... Databricks * Fivetran * Confluent Everforth Apex is a world-class IT services company that serves ...

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Databricks Developer information

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How much do databricks developer jobs pay per hour?

As of Aug 31, 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 is a Databricks developer?

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 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.

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 a Databricks developer an in demand skill?

Yes, Databricks developers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance employability in this role, which is often required in data-driven industries.

What is the salary of a Databricks developer?

The salary of a Databricks developer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior developers with expertise in Spark, cloud platforms, and data engineering can earn higher salaries, especially in competitive markets.

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:

Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in Oregon as of August 2026, with employment types broken down into 80% Full Time, 8% Part Time, and 12% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $135,228 per year, or $65 per hour.

Data Engineer - Databricks

BuzzClan LLC

Beaverton, OR

$119K - $143K/yr

Contractor

Posted 3 days ago

New

Job description

Job Description

Data Engineer – Databricks
Location: Beaverton, OR - Hybrid (3 Days Onsite)
Contract-to-Hire

Job Overview

We are seeking an experienced Data Engineer with strong Databricks expertise to design, develop, and maintain scalable enterprise data pipelines and data engineering solutions. The ideal candidate will have hands-on experience with Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL, along with experience in cloud platforms and modern data engineering practices.

Candidates must be local to or able to work onsite in Beaverton, Oregon 3 days per week.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise data solutions.
  • Develop and optimize data processing solutions using Databricks, PySpark, Spark SQL, and Delta Lake.
  • Build reliable and high-performance data pipelines using Python and SQL.
  • Implement data integration and transformation processes across various enterprise data sources.
  • Work with cloud platforms such as Azure, AWS, or GCP, with preference for Azure.
  • Develop and manage data workflows using orchestration tools such as Azure Data Factory (ADF) and/or Apache Airflow.
  • Apply data modeling, data warehousing, and performance optimization best practices.
  • Implement data quality, scalability, reliability, and performance improvements across data platforms.
  • Use Git, CI/CD, and DevOps practices to support automated and reliable data deployments.
  • Collaborate with business stakeholders, data architects, developers, and other cross-functional teams to deliver enterprise data solutions.
  • Troubleshoot complex data pipeline and processing issues and provide effective technical solutions.
  • Contribute to modern Databricks capabilities such as Delta Live Tables (DLT), Unity Catalog, and Structured Streaming where applicable.
Qualifications

Required Skills

  • 6+ years of overall IT experience, including 5+ years of Data Engineering experience.
  • Strong hands-on experience with Databricks.
  • Strong expertise in PySpark, Spark SQL, and Delta Lake.
  • Strong programming skills in Python and SQL.
  • Proven experience building scalable ETL/ELT pipelines.
  • Experience with Azure, AWS, or GCP, preferably Azure.
  • Experience with Azure Data Factory (ADF) and/or Airflow.
  • Strong understanding of data modeling and data warehousing.
  • Experience with data pipeline and query performance optimization.
  • Hands-on experience with Git, CI/CD, and DevOps practices.
  • Strong analytical, problem-solving, collaboration, and communication skills.

Preferred Skills

  • Delta Live Tables (DLT)
  • Unity Catalog
  • Structured Streaming
  • Azure cloud data services
  • Experience working with large-scale enterprise data platforms.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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