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Non Exempt Databricks Data Engineer Jobs in Portland, OR

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 ...

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 ...

... 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 ...

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

... 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 ...

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 ...

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

You will also partner with non-data users to deliver solutions by understanding the underlying data ... Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source ...

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

You will also partner with non-data users to deliver solutions by understanding the underlying data ... Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source ...

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 ...

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 ...

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 ...

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

Data Engineer Primary Responsibilities • Support Data Science team by applying data mining ... non-functional requirements • Develop efficient feature capabilities to support proper data ...

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

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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Showing results 1-20

Non Exempt Databricks Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do non exempt databricks data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for non exempt 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 the difference between Non Exempt Databricks Data Engineer vs Non Exempt Data Analyst?

AspectNon Exempt Databricks Data EngineerNon Exempt Data Analyst
CertificationsDatabricks certifications, SQL, cloud platform skillsExcel, SQL, data visualization tools
Work EnvironmentCloud-based data platforms, big data environmentsBusiness intelligence tools, spreadsheets, reports
Employer & IndustryTech, finance, healthcare using big data solutionsMarketing, retail, finance analyzing data trends

Non Exempt Databricks Data Engineers focus on building and maintaining data pipelines using Databricks and cloud platforms, often working with big data. Non Exempt Data Analysts interpret data to generate reports and insights. While both roles require SQL skills, Data Engineers need cloud and big data expertise, whereas Data Analysts focus on data visualization and reporting.

What are popular job titles related to Non Exempt Databricks Data Engineer jobs in Portland, OR? For Non Exempt Databricks Data Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Non Exempt Databricks Data Engineer jobs in Portland, OR look for? The top searched job categories for Non Exempt Databricks Data Engineer jobs in Portland, OR are:

Sr Data Engineer (Databricks)

Qode

Camas, WA • On-site

$126K - $151K/yr

Full-time

Posted 19 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