Data Engineer

As our Data 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:

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.

Youll 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.

Were grounded in innovation and entrepreneurship and were 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. 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 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 were looking for consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.

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.

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 .