1

Databricks Engineer Jobs in Oregon (NOW HIRING)

Teradata

Beaverton, OR · On-site

$60/hr

Requirement is for a data engineer with knowledge in Microsoft Fabrics, Databricks, Teradata, Airflow & Snowflake Technical skills required are below: * Microsoft Fabrics * Databricks * Teradata

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Databricks AWS Apache Spark Python PySpark Previous Clients experience a plus. Any ETWs let go at the end of 05/31 can be considered since a 90 day break would be fulfilled. Skills Data engineer ...

Experience with Databricks notebooks, clusters, and workflows for data science and ML * Working knowledge of PySpark for large-scale data processing and feature engineering * Advanced SQL skills ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... Databricks • Apache Spark • Deep Learning Frameworks (TensorFlow, PyTorch) • Lakehouse architecture • Large-Scale Data Preprocessing • Programming (Python, SQL, C++) • LLM Models ...

Overview As a Staff Software Engineer, you will play a key role in shaping and advancing a robust ... Familiarity with Snowflake, Databricks, DBT, Airflow, Python, Terraform, and Go.

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

OR · Hybrid

... data engineering, coding, business understanding and client engagement. * Our company is small ... Databricks Ecosystem: Deep expertise in Mosaic AI (formerly MosaicML) , Unity Catalog , and Delta ...

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

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

... Engineer to help build, operate, and continuously improve the secure cloud platforms that power ... Experience with data platforms (Databricks, Snowflake, Redshift) * GCP experience a plus; comfort ...

Data Engineer AI II

$120K - $145K/yr

Using their technical experience in ETL processes, Data Engineers ensure operational functions are ... Databricks and/or Snowflake environment familiarity a big plus. Proficient in Microsoft Office ...

As a Data Engineering Manager , you will design and maintain large-scale data pipelines, define ... Work extensively with Databricks and various AI toolings for large-scale data processing and ...

next page

Showing results 1-20

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.
BIAA Senior Applications Engineer (Application Engineer, Sr.)

BIAA Senior Applications Engineer (Application Engineer, Sr.)

Oregon Health & Science University

On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 10 days ago


Oregon Health & Science University rating

8.1

Company rating: 8.1 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

131st of 539 rated colleges and universities


Job description

Department Overview

OHSU's Business Intelligence & Advanced Analytics (BIAA) team is seeking a Senior Application Engineer to support population health, value-based care, financial analytics, and data-driven clinical operations across the OHSU Health System. This remote role plays a critical part in developing, optimizing, and supporting our enterprise data warehouse solutions-including Epic Caboodle, Microsoft Fabric, Power BI, and modern Azure-based ETL platforms.

You'll design and build scalable data structures, create and maintain ETL pipelines, support analytics for clinical and operational leaders, and ensure the accuracy, reliability, and security of healthcare encounters, financial, and claims data. This is a highly technical, hands-on engineering role suited for candidates who thrive in complex healthcare data environments.

Function/Duties of Position

Data Engineering and ETL Development (Caboodle, Fabric, Azure)

  • Design, develop, and optimize ETL pipelines using Epic Caboodle Console, SQL Server SSIS, Microsoft Fabric, Azure Databricks, Azure Data Lake Storage, and Azure Data Factory.
  • Build and maintain star-schema data structures including facts, dimensions, SCDs, aggregates, and bridge tables.
  • Perform advanced SQL / T-SQL coding, optimization, data profiling, validation, and source-totarget mapping.
  • Support secure ingestion and exchange of data with third-party partners, including SFTP/PGP workflows.
  • Troubleshoot ETL failures, data anomalies, and performance issues across hybrid on-prem and cloud pipelines.

Business Intelligence and Analytics Engineering

  • Develop user-facing BI assets, including Power BI data models, dashboards, and semantic layers.
  • Build and maintain Epic SlicerDicer models and analytic structures within Caboodle.
  • Collaborate with population health leaders, analysts, and clinicians to develop meaningful, actionable metrics.

Operational Support and Engineering Quality

  • Participate in system upgrades, regression testing, cutover planning, and SDLC/Agile processes.
  • Document technical design, data models, and pipeline logic for long-term operational support.
  • Provide technical guidance and consultation to BI developers, analysts, and end users.
Required Qualifications

Education

One of the following:

  • Bachelor's in computer science, business, or related field + 8 years of IT experience or a combination of clinical or operational environments.
  • Associate's degree + 9 years of IT experience or a combination of clinical or operational environments.
  • 10 years IT, clinical, or operational healthcare experience.
  • Equivalent combination of education and experience where one year of experience will be substituted for an Associate's degree and two years of experience will be substituted for a Bachelor's degree.

Experience

  • 2+ years as an Application Engineer/Developer using SQL Server SSIS.
  • 2+ years of advanced SQL or TSQL development and performance tuning.
  • Experience with ETL development, dimensional modeling, metadata management, and technical documentation.
  • 3+ years of experience working in relational databases.

Skills and Competencies

  • Strong SQL coding and troubleshooting.
  • Deep understanding of data warehousing, star-schema modeling, and SCD methodology.
  • Ability to manage multiple projects, document systems thoroughly, and follow SDLC or Agile practices.
  • Analytical problemsolving and strong communication skills.

Certifications

  • Epic Caboodle Developer proficiency or certification within 6 months of hire.
  • Microsoft Power BI or Fabric certification within 9 months of hire.
Preferred Qualifications
  • Epic Caboodle and/or Epic Clarity development experience.
  • Healthcare data experience, including claims.
  • Experience with Microsoft Fabric, Power BI, Azure Data Factory, Azure Databricks, and Azure Data Lake.
  • Experience building BI models, dashboards, and semantic layers.
  • Epic Caboodle Developer Certification; Epic Clarity Data Model and SlicerDicer Model Build badge.
Additional Details

Work Location and Schedule

  • Remote (within the United States)
  • Monday-Friday, 8:00am - 5:00pm PT (core hours 9:00am - 3:00pm PT)

Benefits 

  • Healthcare for full-time employees covered 100% and 88% for dependents.
  • $50K of term life insurance provided at no cost to the employee.
  • Two separate above market pension plans to choose from.
  • Vacation - up to 200 hours per year dependent on length of service.
  • Sick Leave - up to 96 hours per year.
  • 9 paid holidays per year.
  • Substantial Tri-Met and C-Tran discounts.
  • Employee Assistance Program.
  • Childcare service discounts.
  • Tuition reimbursement.
  • Employee discounts to local and national businesses.
Why apply to OHSU?We are Oregon's only public academic health center. In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.eduEmployment Type: FULL_TIME

What Oregon Health & Science University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Oregon Health & Science University logo

About Oregon Health & Science University

Sourced by ZipRecruiter

Oregon Health & Science University (OHSU) is a distinguished institution under the industry of higher education and healthcare, specifically in the field of medical science. Based in Portland, Oregon, US, it maintains a reputation for promoting research, teaching, patient care, and outreach. Established in 1887, OHSU has continually sought to redefine the parameters of healthcare delivery and biomedical discovery through its expansive catalog of programs and initiatives. A galvanizing mission drives OHSU: to improve the health and quality of life for all Oregonians through excellence, innovation, and leadership in health care, education, and research.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1887