Sr. Data & ML Operations Engineer

As a Sr. Data & ML Operations Engineer youll help drive Concora Credits Mission to enable customers to Do More with Credit every single day.

The impact youll have at Concora Credit:

As a Sr. Data & ML Operations Engineer you ensure the reliability stability and operational excellence of Enterprise Data and ML/AI platforms. Youll 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. Youll also provide operational support for Fivetran MOVEit Automation GoAnywhere and enterprise file movement processes.

We hire people not positions. Thats 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 were looking to expand our team and are looking for people who foster innovation strive to make an impact and want to Do More! Were an established company with over 20 years of experience but now were taking things to the next level. Were seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.

As our Sr. 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.
• Proactively monitor platform health performance and SLAs using Databricks monitoring logging and alerting to minimize downtime and data issues.
• 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.
• Partner with data engineers ML engineers and BI engineers to troubleshoot issues implement improvements automate operations and drive continuous enhancement of data/ML platform reliability.
• Provide operational support for MOVEit Automation GoAnywhere and secure file transfer processes.
• Operate and support Fivetran for data ingestion ensuring connector health sync reliability.
• Manage Tokenization processes to ensure secure handling of sensitive data including tokenization detokenization and compliance with PCI.
• Audit PCI controls regularly to maintain compliance.
• 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 were looking for consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.

Requirements:

• 5-7 years of experience in Data Operations ML Operations or Data Engineering roles.
• Extensive hands-on experience with Azure Databricks with Unity Catalog ADF ADLS
• Strong experience in SQL Python and PySpark
• Experience working in regulated environments (Finance etc.)
• Familiarity with secure file transfer tools.
• Experience with monitoring tools (Azure Monitor Log Analytics etc.)
• Solid understanding of data warehousing ETL/ELT and data modeling best practices.
• Experience with version control and CI/CD pipelines (Azure DevOps GitHub etc.)
• Knowledge of RBAC data security and governance in cloud environments.
• Knowledge of Spark performance tuning partitioning and job orchestration.
• Bachelors or Masters degree (or equivalent) in Computer Science or related field.

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.

Whats 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 .