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Databricks Jobsexternal 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 Overview We are seeking an experienced Data Engineer with strong Databricks expertise to design ...

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

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 ...

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Company 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 ...

1 point system

Databricks Lead/Architect

Portland, OR · On-site

$58.50 - $80.25/hr

Databricks Certified Data Engineer (Associate or Professional) and/or Azure Data Engineer Associate (DP-203) certifications are highly desirable. * Excellent communication, presentation, and ...

Northrop Grumman

Lead Databricks Data Security Engineer

OR · On-site +1

$142K - $213K/yr

Northrop Grumman is seeking a Lead Databricks Data Security Engineer to lead the design, implementation, and governance of access control across our Databricks Lakehouse environment. This role will ...

Phaxis

Lead Data Engineer- Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Mandatory hands-on experience in Databricks (PySpark, Spark SQL, Delta Lake). * Customer Management including Escalation, Issue resolution (Mandatory) * Strong programming skills in Python and SQL

Kynite

Azure Databricks Admin

OR · On-site +1

$51.50 - $64/hr

... Databricks at admin capacity. • Must have clear understanding of NSGs, azure baseline security guidelines. • Good to have experience with Azure Synapse, PowerBI. • Proven ability to work with ...

Attain Partners

Data Governance, Senior Manager

OR · On-site +1

Databricks Partnership & Solution Development Help establish and expand Attain's Databricks ecosystem, develop Data Governance-focused offerings, and identify new revenue opportunities. Client ...

Amerilife Group, LLC

Director, Data Engineering

OR · On-site +1

Lead the Enterprise Databricks Platform * Serve as the organization's technical leader and subject matter expert for the Databricks Lakehouse Platform. * Define enterprise standards and best ...

Nimble Gravity

CTO, Data Platforms

OR · On-site +1

We have deep Databricks delivery experience, an established Microsoft partnership, and Anthropic partner status that puts Claude-powered data products within reach for our clients. The CTO, Data ...

Amerilife Group, LLC

Senior Data Architect

OR · On-site +1

$67.25 - $90/hr

Design scalable data solutions using Databricks Lakehouse, Delta Lake, Unity Catalog, and modern cloud technologies. * Develop and optimize complex SQL solutions for large-scale analytical workloads ...

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Databricks information

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$24.8K

$39.9K

$53.9K

How much do databricks jobs pay per year?

As of Sep 8, 2026, the average yearly pay for databricks in Oregon is $39,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,400.00 and $43,900.00 per year, depending on experience, location, and employer.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

Does Databricks hire remote employees?

Databricks offers remote work opportunities for certain roles, especially those related to software engineering, data science, and cloud infrastructure. The availability of remote positions depends on the specific job and team requirements, and candidates should review individual job postings for location details.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that involve working with tools like Apache Spark and machine learning. Employee reviews often cite a collaborative environment and opportunities for skill development, though experiences can vary by role and location.

What are jobs in Databricks?

Jobs in Databricks refer to roles that involve developing, managing, and optimizing data workflows using the Databricks platform, which is built on Apache Spark. These positions often require skills in data engineering, data science, or machine learning, and may involve working with cloud environments, SQL, and programming languages like Python or Scala.

What are the most commonly searched types of Databricks jobs in Oregon?

The most popular types of Databricks jobs in Oregon are:

What are popular job titles related to Databricks jobs in Oregon?

For Databricks jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Databricks jobs in Oregon look for?

The top searched job categories for Databricks jobs in Oregon are:

What cities in Oregon are hiring for Databricks jobs?

Cities in Oregon with the most Databricks job openings:

Databricks jobs near you
Infographic showing various Databricks job openings in Oregon as of September 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $39,874 per year, or $19.2 per hour.

Data Engineer - Databricks

Beaverton, OR

BuzzClan LLC
IT Services • 11 - 50 employees
Learn more about BuzzClan LLCexternal

$119K - $143K/yr

Contractor

Posted 11 days ago

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.