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Databricks Jobs in Oregon (NOW HIRING)

Cotiviti

Data Engineer - AI

$101K - $132K/yr

Any Databricks / AWS certifications is a big plus. * Familiarity with data pipeline orchestration tools (e.g., Airflow, Databricks Workflows). * 3+ years of data analysis. Preferably in the Health ...

Lumen Technologies

Senior Data Scientist

OR · Remote

$84K - $112K/yr

Build and enhance Databricks-based AI and analytics solutions that improve how Finance teams access and use insights. * Develop scalable data pipelines, workflows, and reporting solutions using ...

Amerilife Group, LLC

Senior Manager, Finance Data Platform

OR · On-site +1

$108K - $148K/yr

Databricks & Enterprise Data Engineering * Lead the modernization and migration of Finance data capabilities onto the enterpriseDatabricks Lakehouseplatform. * Design and oversee scalable ingestion ...

New

360training

Data Architect Manager

... Databricks, Snowflake, Synapse, AWS, or similar technologies. The right candidate is both technical and practical: someone who can set architecture patterns, guide engineers, improve legacy data ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python), and other ...

Cotiviti

Principal Data Engineer AI

AWS, GCP, or Databricks certifications a plus. * Clinical healthcare background-familiarity with clinical documentation, medical coding, and healthcare entities from a clinical perspective-is a ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python), and other ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python), and other ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python), and other ...

Ohm Systems, Inc

Sr Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

We need SENIOR level candidates with extensive experience in Databricks, AI tools with Big data expertise Role Responsibilities: · Contribute to Design and implement data products and features in ...

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All JobsDatabricks JobsDatabricks Jobs in Oregon

Databricks information

See Oregon salary details

$24.8K

$39.9K

$53.9K

How much do databricks jobs pay per year?

As of Aug 16, 2026, the average yearly pay for databricks in Oregon is $39,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,400.00 and $43,900.00 per year, depending on experience, location, and employer.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

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

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Oregon?

The most popular types of Databricks jobs in Oregon are:

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

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

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

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

What cities in Oregon are hiring for Databricks jobs?

Cities in Oregon with the most Databricks job openings:

Databricks jobs near you
Infographic showing various Databricks job openings in Oregon as of August 2026, with employment types broken down into 86% Full Time, 5% Part Time, 8% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $39,874 per year, or $19.2 per hour.

Enterprise Data Architect & AI Solutions Leader

AnswerRocket

OR • On-site, Remote

Full-time

Re-posted 9 days ago

Job description

We're seeking an experienced Enterprise Data Architect Solutions Leader to join our growing team of AI and data professionals. In this pivotal role, you'll design and implement scalable, high-performance data architectures that power cutting-edge AI solutions while leading technical teams and driving enterprise transformation. Working at the intersection of enterprise data systems and generative AI technologies, you'll help us unlock the full potential of our data assets through modern lakehouse platforms and intelligent automation

What You'll Do:

  • Lead data strategy initiatives including current state assessments, enterprise architecture design, and governance frameworks
  • Design and implement cloud-native data lakehouse platforms (Databricks, Snowflake, BigQuery) with medallion architectures
  • Build real-time and batch data pipelines using modern ETL/ELT, streaming, and orchestration technologies
  • Architect and develop generative AI solutions including RAG pipelines, multi-agent systems, and autonomous monitoring
  • Create advanced analytics and BI solutions with modern self-service platforms (Tableau, Power BI)
  • Lead technical teams, mentor data professionals, and drive innovation lab initiatives
  • Conduct client discovery sessions and translate complex technical concepts for executive audiences
  • Implement MLOps, feature stores, and AI/ML pipeline development with performance optimization
  • Establish data governance standards, quality monitoring, and observability engineering practices

What You'll Bring:

  • Bachelor's degree in Computer Science, Data Engineering, or related field (Master's preferred); or equivalent industry experience
  • 10+ years of experience in data architecture and engineering, with 5+ years in enterprise-scale systems and 3+ years in AI/ML platforms
  • Hands-on expertise with Databricks, Delta Lake, Unity Catalog, and modern data lakehouse architectures
  • Proficiency in TypeScript, Python, SQL, and cloud serverless architectures (AWS, GCP, Azure)
  • Experience building RAG pipelines, vector databases, LLM operations, and multi-model AI systems
  • Strong leadership skills with proven ability to lead technical teams and influence enterprise stakeholders
  • Hands-on problem solver with a "get it done" mindset-ready to architect solutions and write production code
  • Excellent communication skills with ability to present to C-level executives and translate business requirements
  • Proven consulting experience with enterprise clients, demonstrating strong business acumen and partnership building

What Makes You Stand Out:

  • Production experience with frameworks like LangGraph, agentic workflows, and autonomous AI monitoring systems
  • Full-stack development experience including single-page applications for data engineering solutions
  • Advanced cloud certifications (AWS/Azure/GCP Professional, Databricks) or methodology certifications (TOGAF, CDMP)
  • Experience with streaming architectures (Kafka, Spark), real-time analytics, and cost optimization (FinOps)
  • Published thought leadership, conference speaking, or contributions to open-source AI/data projects

Apply