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Databricks Data Engineer Jobs in Portland, OR (NOW HIRING)

Qode

Sr Data Engineer (Databricks)

Camas, WA · On-site

$126K - $151K/yr

Wealth Management Position: Sr Data Engineer (Databricks) Compensation: $130K - $150K + Bonus Location: First 90 days on site and then 1 day a week WFH either in Camas, WA or Plano, TX Work ...

Qode

Sr Data Engineer (Databricks)

Camas, WA · On-site

$126K - $151K/yr

Wealth Management Position: Sr Data Engineer (Databricks) Compensation: $130K - $150K + Bonus Location: First 90 days on site and then 1 day a week WFH either in Camas, WA or Plano, TX Work ...

Pwc

Data Engineer - Senior Associate

Portland, OR

$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 ...

1 point system

Databricks Lead/Architect

Portland, OR · On-site

$58.50 - $80.25/hr

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related quantitative ... Databricks Certified Data Engineer (Associate or Professional) and/or Azure Data Engineer Associate ...

campus4tech

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 ...

Hp

DataOS Data Engineer

Vancouver, WA

$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 ...

Pwc

Data Engineer - Manager

Portland, OR · On-site

$99K - $232K/yr

... 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 ...

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 ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source ... Engineers. * Maintain high-quality documentation about data structures in the shared data ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source ... Engineers. * Maintain high-quality documentation about data structures in the shared data ...

Pwc

Data Engineer - Senior Associate

Portland, OR · On-site

$77K - $202K/yr

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

A-dec, Inc.

Data Engineer, Staff

Newberg, OR

$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 ...

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All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Portland, OR

Databricks Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do databricks data engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for databricks data engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Portland, OR? The most popular types of Databricks Data Engineer jobs in Portland, OR are:
What are popular job titles related to Databricks Data Engineer jobs in Portland, OR? For Databricks Data Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Portland, OR look for? The top searched job categories for Databricks Data Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Databricks Data Engineer jobs? Cities near Portland, OR with the most Databricks Data Engineer job openings:
Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Portland, OR as of July 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Sr Data Engineer (Databricks)

Qode

Camas, WA • On-site

$126K - $151K/yr

Full-time

Posted 17 days ago

Job description

Client: Wealth Management
Position: Sr Data Engineer (Databricks)
Compensation: $130K - $150K + Bonus
Location: First 90 days on site and then 1 day a week WFH either in Camas, WA or Plano, TX
Work Authorization: USC or GC ONLY
Education: BS or equivalent in Computer Science or related field or a combination of technical skills, cloud, operating system, networking, security, data application, data modeling and BI background
Experience:
  • Minimum of 8 years of experience developing software and data solution for enterprise environment focusing on data and cloud applications with direct experience with application development, data warehouse and BI design, implementation, and operation
  • Experience with cloud data warehouse and analytics technologies, specifically Azure Databricks, Azure Synapse, Azure Data Factory, Azure Data Lake Storage, Power BI, and other Azure data solutions
  • Knowledge or experience with infrastructure (operating system and networking) and cloud administration and automation such as Terraform for Infrastructure as Code.
  • Knowledge of DevOps in application development such as GitHub Actions, or Powershell
  • Experience with application development using Microsoft or cloud technologies (such as SQL, Azure, C#, Python)
  • Experience with Machine Learning, MLOps
  • Experience with investment management systems and processes
  • Experience with Agile methodologies in a cloud, application, database, data warehousing and BI space

Responsibilities:
  • Work with business and technology partners to analyze how the data warehouse, analytics and application will meet our goals
  • Evaluate all proposed requests to determine fit with data warehouse, analytics and application solution architecture.
  • Own data warehouse and analytics technical platform on Azure, from implementation to enhancements and ongoing operations
  • Design, develop and coordinate cloud data and application solutions/projects across diverse groups and areas including enterprise architecture, application development, identity and access management, network and data management
  • Provide technical direction and guidance to database and application developers
  • Develop cloud security and access control solution/policy, data and BI standards, guidelines and best practice for business groups and technical teams
  • Perform maintenance and troubleshooting activities for data warehouse, BI platform and other data projects and resolve issues
  • Monitor system application logs and identify potential issues and improvements to ensure smooth operations
  • Perform capacity planning, cloud cost analysis and optimization and provide recommendations to management
  • Provide after-hour system and application support
  • Develop multiple work plans for projects and prepare appropriate status reports and submit them to management

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