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Databricks Software Jobs in Oregon (NOW HIRING)

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 ...

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

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 ...

Kynite

Azure Databricks Admin

OR · On-site +1

$51.50 - $64/hr

... software/hardware systems to ensure cost-effective and efficiency and measures feasibility of ... Azure Databricks at admin capacity. • Must have clear understanding of NSGs, azure baseline ...

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

ZincFive

Data Engineer I

Tualatin, OR · On-site

$100K/yr

... Software Engineer. * Develop and maintain data ingestion and transformation pipelines using Azure Databricks * Implement assigned pipeline components using Python, SQL, Apache Spark, and Delta Lake

New

ZincFive

Data Engineer I

Tualatin, OR · On-site

$100K/yr

... Software Engineer. Data Engineer I Job Duties: * Develop and maintain data ingestion and transformation pipelines using Azure Databricks * Implement assigned pipeline components using Python, SQL ...

New

Upstart

Senior Software Engineer - Machine Learning Platform

OR · On-site +1

$122K - $161K/yr

As a Senior Software Engineer on the ML and Simulations Platform team at Upstart, you will be ... Python, Kotlin, Databricks, and AWS. * Exhibits a growth mindset. You pick up new technologies that ...

Entrada Ventures

Software Engineer

Portland, OR · On-site

Experience with Databricks * Experience with geospatial data (parcel data, map layers, or simiar ... Prophetic Software is an equal opportunity employer. We are committed to creating an inclusive ...

YipitData

Senior Software Engineer

OR · On-site +1

$122K - $161K/yr

As a Senior Software Engineer, You Will * Own features and systems end-to-end across multiple ... Databricks). You learn new tools fast and don't let unfamiliar tech slow you down * You have an AI ...

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Databricks Software information

What is Databricks software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

What are the key skills and qualifications needed to thrive as a Databricks software engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What are some common challenges faced by Databricks software engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

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

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

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

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

Databricks Software jobs near you
Infographic showing various Databricks Software 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 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Engineer - Databricks

Beaverton, OR • On-site

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

$119K - $143K/yr

Contractor

Posted 17 days ago

Job description

Company 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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