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Databricks Developer Jobs in Oregon (NOW HIRING)

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 ...

OR · On-site

Overview As a Staff Software Engineer, you will play a key role in shaping and advancing a robust ... Familiarity with Snowflake, Databricks, DBT, Airflow, Python, Terraform, and Go.

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 ...

... Databricks, Snowflake, Synapse, AWS, or similar technologies. The right candidate is both technical and practical: someone who can set architecture patterns, guide engineers, improve legacy data ...

OR · On-site

You will collaborate closely with clients, data scientists, data engineers, platform/DevOps teams ... Hands-on experience with ecosystem technologies and cloud platforms such as Spark, Databricks ...

... programming (OOP) and machine learning fundamentals, with a deep understanding of the full ML lifecycle (monitoring, versioning, and deployment). * Strategic Databricks & ML flow Mastery: Deep ...

New

... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks - Improving Cloud resources for cost, performance, and scalability - Proficiency in SQL and ...

Our work in advanced packaging and silicon enablement supports engineering teams in staying at the ... Databricks, or Kafka. * Familiarity with databases, version control, testing, CI/CD, and cloud ...

Staff Software Engineer, Data Infrastructure

OR · Remote

$114K - $137K/yr

We're looking for a Staff Software Engineer to join our Data Governance and Foundations Team. In ... Databricks, Confluent, Airflow, dbt, Delta Lake, Scala, Python, Postgres, and AWS. You'll join a ...

... DevOps * Documentation: SharePoint, OneDrive, Notion, Google Drive * Data Lake/Data Warehouse: Snowflake, BigQuery, Databricks

OR

$130K - $145K/yr

Working closely with Product, Engineering, Data, and Customer teams, this group leads complex ... Databricks, SFTP/FTPS, and CRM platforms - Coordinate enterprise data delivery workflows ...

While this is an engineering-first role, you will also work with the Data Science team to assist in ... Databricks to support enterprise analytics. * Architect and optimize robust data models and ...

$130K/yr

While this is an engineering-first role, you will also work with the Data Science team to assist in ... Databricks to support enterprise analytics. * Architect and optimize robust data models and ...

Senior Data Architect

Beaverton, OR

$70 - $93.75/hr

... Databricks, Snowflake and Hive bigdata implementations to support data, BI Analytics and AI/ML ... Work with engineering squads to create physical data designs and business rule implementation

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Databricks Developer information

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$65

$84

How much do databricks developer jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for databricks developer in Oregon is $65.01, according to ZipRecruiter salary data. Most workers in this role earn between $58.46 and $71.92 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.
What are the most commonly searched types of Databricks Developer jobs in Oregon? The most popular types of Databricks Developer jobs in Oregon are:
What are popular job titles related to Databricks Developer jobs in Oregon? For Databricks Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Databricks Developer jobs in Oregon look for? The top searched job categories for Databricks Developer jobs in Oregon are:
What cities in Oregon are hiring for Databricks Developer jobs? Cities in Oregon with the most Databricks Developer job openings:
Associate Data & ML Operations Engineer

Associate Data & ML Operations Engineer

Concora Credit Inc.

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Job description

Overview

As our Associate Data & ML Operations 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:

As an Associate Data & ML Operations Engineer, you ensure the reliability, stability and operational excellence of Enterprise Data and ML/AI platforms. You will be responsible for supporting end to end Data Operations including ETL/ELT pipelines, reporting and dashboarding workloads, advanced analytics and machine learning workflows, ensuring they run consistently and efficiently across Azure services such as Databricks, Data Factory, Data Lake, SQL Server and Power BI. This role requires close coordination with business stakeholders, data engineers, ML engineers and BI engineers to deliver accurate, timely datasets and reports that align with business needs.

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 Associate Data & ML Operations Engineer, you will:

  • Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services, ensuring SLA compliance and the timely resolution of Incidents, failures and performance bottlenecks
  • Perform root cause analysis and implement long term fixes that prevent recurring issues and improve overall operational reliability
  • Contribute to platform automation, CI/CD for data/ML pipelines, infrastructure as code, and disaster recovery planning
  • Collaborate with Data engineers, ML engineers, and BI engineers to troubleshoot issues, implement improvements, automate operations, and drive continuous enhancement of data/ML platform reliability.
  • Develop and maintain code enhancements, automation scripts that support both data engineering and operational needs.
  • Provide after-hours support for critical systems and applications.
  • Develop and maintain documentation, runbooks, and operational standards.

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:

  • Degree in Computer Science, Data Science, Engineering or related field
  • Basic understanding of data engineering, with focus on Azure cloud technologies
  • Basic understanding of Azure Databricks, including PySpark, SQL, and Delta Lake
  • General understanding of data warehousing, ETL/ELT
  • Understanding of Azure monitoring tools
  • Experience with programming languages such as Python, PowerShell, Java
  • Understanding of version control and CI/CD pipelines (Azure DevOps, GitHub etc.)

Soft Skills:

  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration abilities across technical and non-technical teams.
  • Ability to work independently in a fast-paced, agile environment.
  • Passion for delivering clean, high-quality, and maintainable code.

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