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Senior Databricks Data Engineer Jobs in Oregon (NOW HIRING)

Financial Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

With the support of subject matter experts and other senior engineers, this role will combine the ... Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source ...

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

With the support of subject matter experts and other senior engineers, this role will combine the ... Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source ...

Financial Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

With the support of subject matter experts and other senior engineers, this role will combine the ... Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source ...

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

With the support of subject matter experts and other senior engineers, this role will combine the ... Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source ...

Senior Data Engineer AI

$140K - $165K/yr

Any Databricks / AWS certifications is a big plus. * Strong SQL and data modeling skills ... senior Employment Type: OTHER

$122K - $180K/yr

... senior military leadership. Qualifications * Active Secret clearance required with the ability to ... Experience with Microsoft Fabric, Databricks, or equivalent lakehouse platforms * Experience ...

Data Engineer

OR ยท On-site +1

$114K - $137K/yr

Data Engineer (Microsoft Stack) Join our collaborative Data and AI team, where every member ... Databricks and Python * Excellent problem-solving skills, attention to detail, and strong ...

Lead Data Engineer

Concord, NC ยท Remote

$138K - $231K/yr

Strong experience with modern data platforms including Databricks, Snowflake, and Azure Data Factory * Proficiency in SQL, Python, and/or R for data analysis and engineering * Experience with ...

OR ยท On-site

$113K - $188K/yr

Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines ... Experience working with Databricks and large-scale data processing environments. * Familiarity with ...

OR ยท On-site

$102K - $170K/yr

Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines ... Experience working with Databricks and large-scale data processing environments. * Familiarity with ...

Lead Data Engineer

OR ยท Remote

$138K - $231K/yr

Strong experience with modern data platforms including Databricks, Snowflake, and Azure Data Factory * Proficiency in SQL, Python, and/or R for data analysis and engineering * Experience with ...

Senior Data Engineer

$105K - $150K/yr

Job Summary As a Senior Data Engineer at WellBe you will play a pivotal role in collecting, processing, and analyzing large datasets to derive meaningful business insights. You will collaborate with ...

OR ยท On-site

$105K - $143K/yr

As a Senior Data Engineer on this team, you will play a critical role in the design, implementation, and maintenance of our data infrastructure and pipelines that supports the business needs. You'll ...

Senior Data Modeler

OR ยท On-site +1

Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and ... Hands-on Databricks experience including Unity Catalog, Delta Lake, and lakehouse architecture ...

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 ...

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Showing results 1-20

Senior Databricks Data Engineer information

How does a Senior Databricks Data Engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data Engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

What are Senior Databricks Data Engineers?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.
What are the most commonly searched types of Databricks Data Engineer jobs in Oregon? The most popular types of Databricks Data Engineer jobs in Oregon are:
What are popular job titles related to Senior Databricks Data Engineer jobs in Oregon? For Senior Databricks Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Senior Databricks Data Engineer jobs in Oregon look for? The top searched job categories for Senior Databricks Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Senior Databricks Data Engineer jobs? Cities in Oregon with the most Senior Databricks Data Engineer job openings:

Financial Data Engineer

Concora Credit Inc.

Beaverton, OR โ€ข On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Overview
As a Financial 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:
As a Financial Data Engineer, your primary role will be to build and optimize foundational data marts and reporting packages, become an expert on how Finance utilizes data, and find areas to improve business processes that support reporting and analysis across the Finance Department. You will also partner with non-data users to deliver solutions by understanding the underlying data and its usage.
With the support of subject matter experts and other senior engineers, this role will combine the technical skills of data engineering with internal business knowledge to build end-to-end data pipeline architecture, data flows, data transformations, and clear documentation.
This position offers growth opportunities with a heightened level of independence for someone passionate about understanding how data is used, creating optimized processes, and testing and improving data pipelines.
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 Financial Data Engineer, you will:
  • Create and manage large, complex data sets that meet business requirements and serve as the foundation behind analytics and management reporting, informing critical decision-making across the Finance Department.
  • Partner with non-data users to deliver solutions by becoming an expert on our financial data.
  • Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source tools as required, with support of Engineers and Sr. Engineers.
  • Maintain high-quality documentation about data structures in the shared data governance tool for the business to access.
  • Become an expert on the complete data cycle for finance from ingestion to reporting.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, etc.
  • Assist in the creation and development of reports or dashboards by building scalable, high-quality data sets.

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:
  • Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent professional experience.
  • Experience with the following tools: SQL or relational databases, Python, data pipeline management such as SSIS, Azure Data Factory, or Apache Spark for batch and streaming.
  • Experience building and optimizing data pipelines, architectures, and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Quick learner with intellectual curiosity to understand a dynamic and complex business.
  • Strong attention to detail and ability to self-review work products are critical.
  • Excellent written and verbal communication skills, including the ability to communicate with senior executives.
  • Able to handle and prioritize multiple tasks simultaneously and deliver results in a timely manner.

Preferred Qualifications:
  • Experience with Financial Services companies is preferred but not required.
  • 2+ years of experience in a Data Engineer role.

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.