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Databricks Software Jobs in Oregon (NOW HIRING)

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

Data Engineer

Beaverton, OR

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

Sr. Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

... software development, 5+ years of big data experience Extensive AI knowledge and experience ... Experience with Java Experience working in a public cloud environment, particularly AWS, databricks ...

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS) * Proven experience leading and mentoring data engineering teams, with ...

Data Engineer

OR · On-site +1

$114K - $137K/yr

You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to ... Experience working with cloud-based data platforms such as Databricks , Snowflake , Delta Lake , or ...

... Databricks, Cloudera), with proven experience designing and operating production ML systems for performance, security, scalability, and reliability. * End-to-end software development lifecycle ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python), and other ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python), and other ...

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python), and other ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python), and other ...

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building and ...

Sr. Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

... scale software development, 5+ years of big data experience · Extensive AI knowledge and ... databricks · Experience with cloud warehouse tools like Snowflake · Experience working with NoSQL ...

Showing results 21-40

Databricks Software information

What is Databricks software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

What are the key skills and qualifications needed to thrive as a Databricks software engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What are some common challenges faced by Databricks software engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Oregon?

For Databricks Software jobs in Oregon, the most frequently searched job titles are:

Infographic showing various Databricks Software job openings in Oregon as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Concora Credit rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Overview

As our Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day.

The impact you'll have at Concora Credit:

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the organization.

You'll serve as a technical leader responsible for data platform governance, feature enablement, and engineering best practices while partnering closely with teams across the enterprise to ensure our data ecosystem remains secure, scalable, cost-efficient, and easy to use.

We're grounded in innovation and entrepreneurship, and we're looking for someone who enjoys solving complex technical challenges, influencing platform strategies, and enabling others to be successful through scalable data solutions and thoughtful governance.

We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We're an established company with over 20 years of experience, but now we're taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.

Responsibilities

As our Data Engineer, you will:

  • Help design, develop, and optimize scalable data pipelines and data solutions using Databricks, PySpark, SQL, and Python.
  • Help build and maintain reliable data models and ETL/ELT processes that support analytics, business intelligence, machine learning and AI.
  • Help establish and maintain data engineering standards, governance, security, and best practices across the Azure and Databricks platforms.
  • Evaluate new Databricks capabilities and recommend adoption strategies, standards, and implementation patterns.
  • Monitor, troubleshoot, and optimize data pipelines and platform performance for reliability, scalability, and cost efficiency.
  • Partner with cross-functional teams to solve complex data challenges and provide technical guidance on data architecture and engineering best practices.
  • Mentor junior engineers and contribute to a culture of technical excellence and continuous improvement.

These duties must be performed with or without reasonable accommodation.

We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.

Qualifications

Requirements:

  • 3+ years of experience in Data Engineering, Data Platform Engineering, or a related field.
  • Strong hands-on experience with Databricks required, as well as Apache Spark, PySpark, Python, SQL, Azure Data Lake Storage, and Delta Lake.
  • Deep understanding of distributed data processing and large-scale data architectures.
  • Strong knowledge of data engineering principles, including data modeling, ETL and ELT design patterns, Data quality and observability, Metadata management, Data lifecycle management, Master Data Management concepts.
  • Strong understanding of modern table formats and storage architecture.
  • Experience with performance optimization techniques.
  • Experience implementing CI/CD and infrastructure automation using tools.
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to operate independently while leading initiatives in a fast-paced, agile environment.
  • Passion for building scalable, maintainable, and well-governed data platforms.

Preferred Qualifications:

  • Experience with Unity Catalog, Databricks Workflows, Delta Live Tables / Spark Declarative Pipelines, Structured Streaming, Kafka or Event Hubs.
  • Experience implementing data governance frameworks and cloud security best practices.
  • Experience with RBAC, ABAC, data classification, auditing, and compliance controls.
  • Experience supporting self-service analytics platforms and integrating Databricks with Power BI or other analytics tools.
  • Experience evaluating and adopting emerging cloud and data platform technologies.
  • Experience creating engineering standards, reference architectures, and operational best practices for enterprise data platforms.
  • Experience building and delivering internal training or enablement programs for technical platforms.

What's In It For You:

  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Employment-based visa sponsorship is not available for this role.

Concora Credit is an equal opportunity employer (EEO).

Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.

Employment Type: FULL_TIME

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