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Databricks Engineer Jobs in Oregon (NOW HIRING)

Sr Field Engineer

OR ยท Remote

$170K - $190K/yr

A Sr Field Engineer will partner with a Technical Account Manager to create a guided customer ... Knowledge of Snowflake, Google BigQuery or Databricks is a plus * Excellent written, verbal, and ...

About the role At DevRev, Enterprise Sales Engineers are customer-obsessed technical professionals ... Snowflake, BigQuery, Databricks

OR ยท On-site

... Databricks, and Anthropic. Feedback to internal teams to shape offers that differentiate us in a crowded market. * Cross-functional collaboration. Partner with delivery, marketing, engineering ...

$134K - $180K/yr

Familiarity with data platforms and tools (e.g., Databricks) Application Development : * Experience ... Ability to mentor engineers and drive engineering best practices and standards #LI-Remote This is a ...

OR ยท On-site

About the role At DevRev, Enterprise Sales Engineers are customer-obsessed technical professionals ... Snowflake, BigQuery, Databricks

Staff Software Engineer, Data Infrastructure

OR ยท Remote

$114K - $137K/yr

We're looking for a Staff Software Engineer to join our Data Governance and Foundations Team. In ... Databricks, Confluent, Airflow, dbt, Delta Lake, Scala, Python, Postgres, and AWS. You'll join a ...

OR ยท On-site

As a Software Engineer II on the team, you will be part of the broader Growth organization and ... Fivetran, Databricks), or marketing automation platforms (e.g.,Iterable, Braze, or Salesforce ...

... Databricks, and the Cloudera/Hadoop ecosystem. * Lead and manage a team of data engineers in delivering quality code and building data products and use cases, fostering a culture of engineering ...

Experience working with data lake platforms, particularly Azure Databricks. * Advanced proficiency in TypeScript and .NET languages including C# and F#; functional programming experience is highly ...

Solutions Architect

OR ยท Remote

$63 - $83/hr

Programming expertise in Java, Python and/or Scala * Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP * SQL and the ability to write, debug, and optimize SQL queries

Azure (ACI, ACR, AKS), Databricks, Kafka, Unity Catalog, REST/OpenAPI * Dev tooling: VSCode, Claude Code, GitHub Copilot, GitHub Actions, Docker, Azure DevOps * Frontend: React, Vite, TypeScript ...

As a Forward Deployed Engineer, you will act as both a principal-level technical leader and a ... AI/ML frameworks and analytics platforms (e.g., Databricks, Snowflake) * Exceptional communication ...

Azure (ACI, ACR, AKS), Databricks, Kafka, Unity Catalog, REST/OpenAPI * Dev tooling: VSCode, Claude Code, GitHub Copilot, GitHub Actions, Docker, Azure DevOps * Frontend: React, Vite, TypeScript ...

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Databricks Engineer information

See Oregon salary details

$62.9K

$118K

$214.6K

How much do databricks engineer jobs pay per year?

As of Jun 25, 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 engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

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.

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, and why are they important?

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 popular job titles related to Databricks Engineer jobs in Oregon? For Databricks Engineer jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Databricks Engineer jobs? Cities in Oregon with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Oregon as of June 2026, with employment types broken down into 68% Full Time, 24% Part Time, and 8% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $118,027 per year, or $56.7 per hour.
Sr Field Engineer

$170K - $190K/yr

Other

Medical, Dental, Vision, PTO

Posted yesterday


Job description

Striim is hiring a Senior Field Engineer to be a technical leader who will engage with our customers throughout the life cycle of the Striim Platform. A Sr Field Engineer will partner with a Technical Account Manager to create a guided customer journey through all implementation phases, including new customer onboarding, solution architecture strategy, and technical enablement. This is a highly customer-focused role, driving toward operational excellence, continuous learning, and mission-critical innovation. This is a fully technical and hands-on position. Bilingual fluency in Spanish and English is required to effectively support Spanish-speaking customers.ย 

Responsibilities

  • Onboard new Striim customers, delivering learning, solution strategy, technical enablement, and implementation guidance during the deployment process.
  • Lead customer technical teams during development phases to implement best practices and innovate enterprise adoption challenges.
  • Support the seamless transition from pre-sales prototypes to post-sales production scale experiences.
  • Collaborate with customer success and account management teams to conduct periodic health checks with customers, ensuring operational excellence with Striim.
  • Be the Striim product expert, coach, and trusted technical advisor during deployment.
  • Be the in-house customer champion, coordinating with Striim customer support and stakeholders to drive technical advocacy, product evolution, and technical innovation.
  • Proactively engage existing Striim customers to realize technology value with further adoption of the Striim platform, demonstrating new applications and use cases for Striim.
  • Increase internal knowledge base by developing and/or maintaining documentation related to Striim implementations, best practices, and troubleshooting.
  • Track customer issues, collaborate with support on customer-training-related matters, and work with customer to develop and track product feature requests (PFRs).
  • Report on the status of key accounts, including escalations, to the manager and Technical Account Manager (if applicable).ย 

Requirements

  • A successful candidate must be based 100% remotely, preferably on the US West Coast, in the Pacific time zone.ย 
  • 7+ years of experience in customer-facing technical roles, e.g., Sales Engineer/Pre-sales Engineer, Solutions Architect, Data Engineer, Customer Success Engineer
  • 7+ years of experience with database management systems software such as Oracle, MySQL, Microsoft SQL Server, and SQL Programming Language
  • 7+ years of experience programming languages such as Java, Python, Shell scripting
  • 7+ years of experience or deep core knowledge of Cloud infrastructure and Data Services such as Amazon AWS, Microsoft Azure and Google Cloud
  • Working proficiency and knowledge of GKE (Kubernetes in GCP)
  • Deep knowledge in working with configuring, and troubleshooting Operating Systems based on Unix/Linux and Windows
  • Experience working with Message Systems such as Kafka and JMS
  • Experience in working with Enterprise data environments and Mission Critical IT systems is desirable
  • Knowledge of Snowflake, Google BigQuery or Databricks is a plus
  • Excellent written, verbal, and presentation communication skills in Spanish and English.
  • Bachelor's degree in Information Systems, Computer Science, Computer Engineering, or Information Systems

Benefits

  • Competitive salary and pre-IPO stock options
  • Comprehensive health care plans (medical, dental and vision), including medical and dependent FSA
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • The chance to contribute to and shape an upbeat, fully engaged culture

Compensation

$170,000 - $190,000 USD on an annualized basis. In addition to base pay, this role offers the opportunity to earn commission-based rewards.

Applications will be reviewed on a rolling basis and accepted until the position is filled.