Senior Data Engineer - Capital Markets (R13923)

Headquarters: Remote - MX Who We Are Oportun (Nasdaq: OPRT) is a mission-driven financial services company that puts its members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $22.7 billion in responsible and affordable credit, saved its members more than $2.5 billion in interest and fees, and helped its members set aside an average of more than $1,800 annually. The Opportunity As a Sr. Data Engineer at Oportun, you will be a key member of our team, responsible for designing, developing, and maintaining sophisticated software / data platforms in achieving the charter of the engineering group. Your mastery of a technical domain enables you to take up business problems and solve them with a technical solution. With your depth of expertise and leadership abilities, you will actively contribute to architectural decisions, mentor junior engineers, and collaborate closely with cross-functional teams to deliver high-quality, scalable software solutions that advance our impact in the market. This is a role where you will have the opportunity to take up responsibility in leading the technology effort – from technical requirements gathering to final successful delivery of the product - for large initiatives (cross-functional and multi-month-long projects). At Oportun, we move fast and we hold each other to a high bar. If you care about doing your best work while actually moving the needle for real people, you'll fit right in. What You'll Do Your day-to-day • You’ll design and implement scalable, efficient, and reliable data architectures that support business and analytical needs. • You’ll build and maintain data pipelines, ETL processes, and integration solutions for large volumes of structured and unstructured data. • You’ll optimize data pipelines, databases, data warehouses, and data lakes for performance, reliability, scalability, and security. • You’ll partner with stakeholders to understand data requirements, develop domain expertise, and translate business needs into effective data models and solutions. • You’ll establish and improve data quality standards, validation rules, documentation, and governance practices. • You’ll implement monitoring and observability practices to identify bottlenecks, improve performance, and strengthen platform reliability. • You’ll provide technical leadership on architecture, scalability, reliability, monitoring, integration, and extensibility. • You’ll lead and contribute to code reviews, helping maintain high standards for code quality, performance, and maintainability. • You’ll mentor junior engineers and support a culture of continuous learning and technical excellence. • You’ll take ownership of production issues, including troubleshooting, root-cause analysis, escalation, and long-term resolution. • You’ll independently lead multiple features and projects, coordinate work across engineers, and keep stakeholders informed of progress, risks, and dependencies. • You’ll help evolve engineering tools, platforms, and practices and encourage adoption of better ways of working. • You’ll look for practical ways to use AI tools to improve engineering productivity, analysis, documentation, and problem-solving. Who You Are The right fit looks like this You’re a hands-on data engineer who enjoys solving complex technical problems and building systems that others depend on. You combine strong technical depth with a practical understanding of business needs and know how to turn ambiguous requirements into scalable solutions. You take ownership, communicate clearly, and are comfortable leading technical work with