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Databricks Developer Jobs in Portland, OR (NOW HIRING)

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 ...

Nike

Software Engineer

Beaverton, OR · On-site

Use Databricks Catalog for Data Governance and Lineage Tracking; Real-time Change Data Capture ... data engineering from ingestion, transformation, and consumption in addition to designing and ...

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

Data Engineer - Senior Associate

Portland, OR

$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 ...

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 ...

Nike

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 ...

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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 19, 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.
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Databricks Developer jobs near you
Databricks Lead/Architect

Databricks Lead/Architect

1 point system

Portland, OR • On-site

$58.50 - $80.25/hr

Contractor

Posted 24 days ago

Job description

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related quantitative field.
  • 8+ years of progressive experience in data architecture, data engineering, or a related role within an enterprise environment.
  • 5+ years of hands-on experience specifically with the Databricks Lakehouse Platform, including designing and implementing complex data solutions.
  • Proven track record of successfully designing and implementing large-scale, high performance, and cost-optimized data platforms on Microsoft Azure. Databricks Certified Data Engineer (Associate or Professional) and/or Azure Data Engineer Associate (DP-203) certifications are highly desirable.
  • Excellent communication, presentation, and interpersonal skills with the ability to influence technical and non-technical stakeholders effectively.