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

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 ...

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

Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS) * Proven experience leading and mentoring data engineering teams, with ...

Amerilife Group, LLC

Senior Data Engineer

OR · On-site +1

$142K - $160K/yr

Databricks Platform Development * Build native Databricks solutions using Spark, Delta Lake, Unity Catalog, Workflows, SQL Warehouses, and Delta Live Tables. * Optimize cluster performance and ...

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

Databricks Certified Data Engineer Professional certification. * Experience with Azure cloud services and enterprise security. * Experience with Data Vault 2.0. * Knowledge of AI, machine learning ...

YipitData

Senior Software Engineer (Cloud Infrastructure)

OR · On-site +1

$108K - $147K/yr

Design, build, and operate shared cloud infrastructure using AWS, Kubernetes, Terraform, Databricks, Cloudflare, and related cloud-native technologies. * Deliver SRE and DevOps initiatives that ...

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 ...

Arbital Health

AI Engineer

OR · On-site +1

$155K - $180K/yr

We are looking for an AI Engineer to help build our next-generation conversational AI experiences ... AWS, GCP, Databricks, Airflow, Datadog AI: Vertex AI, GCP Model Garden, MLflow, Databricks Vector ...

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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 Aug 28, 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 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?

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 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.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

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 August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $118,027 per year, or $56.7 per hour.

Data Engineer - Databricks

BuzzClan LLC

Beaverton, OR

$119K - $143K/yr

Contractor

Posted yesterday

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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