Associate Data & ML Operations Engineer

Concora Credit Inc. • Beaverton, OR

6d

About The Position

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. 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.

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.)
• 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.

Responsibilities

• 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.

Benefits

• Medical, Dental and Vision insurance for you and your family
• 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
• Tuition Reimbursement
• Flexible Spending Accounts
• Life and AD&D Insurance
• company-paid Long-Term Disability and voluntary Short-Term Disability

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level