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

Support the development and evaluation of AI capabilities within Databricks, including chatbot and ... Computer Science, Engineering, Information Systems, Business Analytics, or a related field.

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... Hands on experience with Python, Spark SQL, XGBoost, and Databricks a plus * Strong Programming ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... Hands on experience with Python, Spark SQL, XGBoost, and Databricks a plus * Strong Programming ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... Hands on experience with Python, Spark SQL, XGBoost, and Databricks a plus * Strong Programming ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... Hands on experience with Python, Spark SQL, XGBoost, and Databricks a plus * Strong Programming ...

Showing results 41-60

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 Sep 13, 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?

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 Databricks data engineer do?

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 as a Databricks data engineer?

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.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

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 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:

Infographic showing various Databricks Data Engineer job openings in Portland, OR as of September 2026, with employment types broken down into 2% Internship, 70% Full Time, and 28% Contract. Highlights an 84% In-person, 4% Hybrid, and 12% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Sales Data Analyst Intern

Hillsboro, OR • On-site

Qorvo, Inc.
Manufacturing • 5 - 10K employees

$31 - $42/hr

Full-time, Internship

Posted 24 days ago


Qorvo rating

8.3

Company rating: 8.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect, protect and power our planet.
Qorvo's Internship Program is designed for college students currently enrolled in an accredited Bachelor's, Master's, or PhD program. Qorvo offers real work experience, exposure to upper management, and the opportunity to pursue full-time opportunities, as available.
Qorvo's Internship Program offers:
  • Challenging, skill-building assignments
  • Mentoring and coaching from industry experts
  • Launch & Learns and other learning opportunities
  • Collaborative team-based work environment
  • Networking and social events
  • Final presentation to business leaders

Summary
We are seeking a motivated Summer Intern to support data, analytics, and AI initiatives within the Sales organization. The intern will work with a variety of business and technical teams to improve data quality, support analytics solutions, and explore AI capabilities using platforms such as Databricks. This role offers hands-on experience working with enterprise data, business processes, reporting, and emerging AI technologies while contributing to projects that support business decision-making.
Responsibilities may include:
  • Monitor and enhance data quality and integrity across business systems and datasets.
  • Assist with data analysis, validation, and process improvement initiatives.
  • Collaborate with business users and technical teams to identify opportunities to improve data accuracy and efficiency.
  • Support the development and evaluation of AI capabilities within Databricks, including chatbot and generative AI solutions.
  • Assist with reporting, data modeling, and analytics projects that support business operations.
  • Document processes, findings, and recommendations to support ongoing improvements.

Qualifications
  • Currently enrolled in a Bachelor's or Master's degree program in Data Analytics, Data Science, Computer Science, Engineering, Information Systems, Business Analytics, or a related field.
  • Familiarity with SQL, Python, or data analysis tools is preferred.
  • Experience using business intelligence tools such as Power BI or Tableau is preferred.
  • Experience cleaning data, data transformation or validation is preferred
  • Experience with cloud-based analytics platforms such as Databricks, Snowflake, Azure or AWS is preferred.
  • Strong analytical and problem-solving skills.
  • Attention to detail and commitment to data accuracy.
  • Strong communication and organizational skills.
  • Ability to work independently and collaboratively in a team environment.

This position is not eligible for visa sponsorship by the Company.
Competitive hourly pay commensurate with experience: $31/hr - $42/hr (subject to change dependent on physical location)
Posted salary ranges are made in good faith. Qorvo reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as external competitiveness and internal comparability.
Base compensation is one element of Total Rewards offered at Qorvo. More information on the Total Rewards package can be shared upon request.
MAKE A DIFFERENCE AT QORVO
We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets - we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us.
We are an Equal Employment Opportunity (EEO) employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to any characteristics protected by applicable law, including race, color, religion, sex (as defined by law), national origin, age, military or veteran status, genetic information, or disability.
Qorvo is an E-Verify Employer. For more information, please see the Right to Work and E-Verify Participation posters.

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