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Databricks Developer Jobs in Portland, OR (NOW HIRING)

... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks - Improving Cloud resources for cost, performance, and scalability - Proficiency in SQL and ...

Our work in advanced packaging and silicon enablement supports engineering teams in staying at the ... Databricks, or Kafka. * Familiarity with databases, version control, testing, CI/CD, and cloud ...

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

DataOS Data Engineer

Vancouver, WA · On-site

$105K - $161K/yr

DataOS Data Engineer Description - DataOS Data Engineer collaborating on cutting edge advances in ... Strong Notebooks environment experience (Jupyter, DataBricks) * Experience collecting requirements ...

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 ...

... 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 ...

... engineering expertise to build pipelines for structure and non-structure data and design databases using tools such as Databricks, Snowflake, NoSQL, and Vector databases in a Retrieval Augmented ...

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 ...

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 ...

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

Experience with cloud data warehouse and analytics technologies, specifically Azure Databricks ... Knowledge of DevOps in application development such as GitHub Actions, or Powershell * Experience ...

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 ...

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 ...

Collaborate with product owners, engineering teams, and enterprise architects to ensure alignment ... and Databricks. * Familiarity with building AI-enabled applications using AWS services (e.g ...

Hands on experience with Python, Spark SQL, XGBoost, and Databricks a plus * Strong Programming skills in Python and/or R (Python preferred) * Predictive modeling experience with a quantitative ...

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Databricks Developer information

See Portland, OR salary details

$22

$65

$84

How much do databricks developer jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for databricks developer in Portland, OR is $65.21, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $72.16 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

Is Databricks a high paying job?

A Databricks Developer typically earns a competitive salary due to the specialized skills required in big data processing, cloud computing, and Spark platform expertise. Salaries vary based on experience, location, and certifications, but generally align with other data engineering and cloud development roles in the industry.

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

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data analytics and machine learning. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

What jobs in the US pay 300,000 a year?

For a Databricks Developer, earning $300,000 annually typically requires extensive experience, advanced skills in big data processing, and often senior or lead roles in data engineering or analytics. High-paying positions may also involve leadership responsibilities, specialized certifications, or working in industries like finance or technology with complex data environments.

Is Databricks need coding?

Databricks developers typically need coding skills in languages such as Python, Scala, or SQL to build and optimize data pipelines, perform data analysis, and develop machine learning models within the platform. Proficiency in these programming languages is essential for most roles involving Databricks. Familiarity with Spark and cloud environments is also beneficial.
What are the most commonly searched types of Databricks Developer jobs in Portland, OR? The most popular types of Databricks Developer jobs in Portland, OR are:
What are popular job titles related to Databricks Developer jobs in Portland, OR? For Databricks Developer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Databricks Developer jobs in Portland, OR look for? The top searched job categories for Databricks Developer jobs in Portland, OR are:

$120K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


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:

07/17/2026