ZipRecruiter

Log In

1

Databricks Engineer Jobs in Portland, OR (NOW HIRING)

Nike

Lead Technical Product Manager

Beaverton, OR · On-site

$173K - $200K/yr

... Databricks, Web applications) * Strong partnership skills with cross-functional stakeholders including product managers, engineering teams, and business users across complex, matrixed organizations

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

FULL STACK SENIOR SOFTWARE ENGINEER Nike / Global Technology / Consumer Product & Innovation ... Platforms: Docker, AWS, Azure, Databricks * Services: Serverless Compute, Serverless Queuing ...

Pwc

AI Engineer

Portland, OR · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Pwc

AI Engineer

Portland, OR · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing ...

Nike

Senior Principal Software Engineer

Beaverton, OR · On-site

$130K - $180K/yr

Sr. Principal Engineer CONSUMER PRODUCT AND INNOVATION , PHK-BEAVERTON WHO YOU WILL WORK WITH You ... Hands-on experience with modern data platform technologies (e.g., Databricks, Snowflake, Kafka ...

Pwc

GenAI Python Systems Engineer-Manager

Portland, OR · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Pwc

Data Engineer - Senior Associate

Portland, OR · On-site

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Pwc

Data Engineer - Senior Manager

Portland, OR

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Pwc

Data Engineer - Manager

Portland, OR

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Snowflake or Databricks) * Experience with lambda and kappa architectures * Experience with iPaaS ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Snowflake or Databricks) * Experience with lambda and kappa architectures * Experience with iPaaS ...

WIZELINE

Senior Data Architect

Beaverton, OR

$70 - $93.75/hr

... Databricks, Snowflake and Hive bigdata implementations to support data, BI Analytics and AI/ML ... Work with engineering squads to create physical data designs and business rule implementation

previous pagenext page

Showing results 21-40

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Portland, OR

Databricks Engineer information

See Portland, OR salary details

$63.1K

$118.4K

$215.3K

How much do databricks engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for databricks engineer in Portland, OR is $118,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,400.00 and $140,500.00 per year, depending on experience, location, and employer.

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 $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 architecture can earn higher compensation, often exceeding $160,000 per year.

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.

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, and their roles are often available across various industries seeking data-driven solutions.
What are popular job titles related to Databricks Engineer jobs in Portland, OR? For Databricks Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Portland, OR look for? The top searched job categories for Databricks Engineer jobs in Portland, OR are:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $118,386 per year, or $56.9 per hour.

Applied AI Engineer

Cambridge Swinerton Builders

Portland, OR • On-site

$120K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Compensation Range:

$120,000.00 - $170,000.00 Annual Salary

Job Description Summary:

We are seeking an Applied AI Engineer to build and deliver practical AI solutions that drive automation, productivity, and business value. This role is focused on turning business needs into working solutions - from intelligent workflows and copilots to agent-based tools and AI-enabled applications. The ideal candidate is both technically strong and highly hands-on, with the ability to design, prototype, build, and deploy scalable solutions that solve real business problems.

Job Description:

Key Responsibilities

  • Build and deploy AI-powered automations and agent-based solutions that improve business processes and productivity.
  • Design and implement practical AI workflows using LLMs, retrieval, tool/function calling, orchestration, multi-agent patterns, integrations, and related technologies.
  • Integrate AI capabilities into enterprise systems, applications, and business processes to support real-world adoption and measurable value.
  • Test, monitor, troubleshoot, and continuously improve deployed AI solutions for reliability, usability, and performance.
  • Collaborate with business and technical stakeholders to refine requirements and translate them into working solutions.
  • Contribute reusable patterns, engineering practices, and responsible AI approaches that support scalable solution delivery.

Skills, Experience, and Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • 3+ years of experience in software engineering, AI engineering, machine learning engineering, or similar hands-on technical roles.
  • Hands-on experience building and deploying AI-enabled applications, automations, or intelligent workflows in an enterprise environment, including delivery within defined solution direction and architectural guardrails.
  • Experience with AI frameworks, APIs, and tools for LLMs, retrieval, tool/function calling, orchestration, or multi-agent workflows.
  • Familiarity with frameworks and protocols such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, MCP, or similar tools is preferred.
  • Experience with enterprise cloud and AI development platforms such as Microsoft Foundry, Databricks, or similar enterprise ecosystems is preferred.
  • Strong programming and engineering skills, including CI/CD, deployment automation, monitoring, and operational support practices for AI or software solutions.
  • Strong problem-solving, communication, and stakeholder collaboration skills.
  • Construction industry experience is preferred but not required.

Summary of Benefits:

This role is eligible for the following benefits:medical, dental, vision, 401(k) with company matching, Employee Stock Ownership Program (ESOP), individual stock ownership, paid vacation, paid sick leave, paid holidays, bereavement leave, employee assistance program, pre-tax flexible spending accounts, basic term life insurance and AD&D, business travel accident insurance, short and long term disability, financial wellness coaching, educational assistance, Care.com membership, ClassPass fitness membership, and DashPass delivery membership. Voluntary benefits include additional term life insurance, long term care insurance, critical illness and accidental injury insurance, pet insurance, legal plan, identity theft protection, and other voluntary benefit options.

Anticipated Job Application Deadline:

08/03/2026

Apply