Oportun
Similar Companies Hiring
Jobs at Oportun
Search the 27 jobs at Oportun
Recently posted jobs
The Senior Staff Data Engineer will lead the development of a robust data infrastructure, focusing on ingestion, ETL/ELT processes, data quality checks, and ensuring compliance with regulatory standards. This role involves mentoring data engineers, collaborating with data scientists, and creating optimized data pipelines to enhance analytics and decision-making capabilities.
As a Senior Software Engineer, you will design, develop, and maintain software solutions, lead architectural decisions, mentor junior engineers, ensure high-quality standards, and collaborate with cross-functional teams to deliver scalable applications.
As a Senior Software Engineer at Oportun, you will design, develop, and maintain software solutions while contributing to architectural decisions and mentoring junior engineers. You will collaborate with cross-functional teams to deliver high-quality, scalable products that align with Oportun's mission to provide affordable credit.
As a Staff Software Engineer at Oportun, you will lead the delivery of complex software applications, ensuring high quality standards while collaborating across teams to resolve architectural challenges. Your role includes project leadership, mentoring, and driving technical decision-making, as well as creating frameworks that streamline engineering efforts.
As a Senior Machine Learning Engineer at Oportun, you will elevate ML capabilities by leading the development of advanced ML infrastructure and collaborating with data scientists and engineers. Your role includes mentoring junior engineers, managing critical projects, and ensuring high-quality ML solutions are produced from inception to deployment.
As a Senior Software Engineer, you will design, develop, and maintain software solutions, mentor junior engineers, and ensure high-quality deliveries while collaborating with cross-functional teams on large initiatives.
As a Senior Software Engineer, you will design, develop, and maintain software solutions, ensuring high-quality technical execution that aligns with business goals. You will manage system health, oversee technical architectures, and contribute to a roadmap for scalable product vision and growth.
The Senior Machine Learning Engineer at Oportun will lead the development of ML infrastructure from model training to deployment. Responsibilities include mentoring junior engineers, collaborating with data scientists, and overseeing critical projects to deliver impactful AI/ML solutions in the FinTech space.
As a Senior Data Engineer at Oportun, you will design, develop, and maintain software and data platforms while solving business problems with technical solutions. You will mentor junior engineers, make architectural decisions, and collaborate with cross-functional teams to deliver scalable software that enhances Oportun's market impact.
The Senior Software Engineer will architect, deploy, and manage CICD platforms and source control management systems. They will also implement software security best practices, build features in the codebase, and work within a team to deliver results. A strong understanding of cloud services and DevOps practices is required.
The Sr. Staff Software Engineer will design, build, and maintain cloud platforms focused on high availability and efficiency in a container-based environment. Responsibilities include standardizing software development approaches, mediating technical discussions, driving operational excellence, and enabling collaborations across teams.
As a Staff Software Engineer, you will create innovative solutions, manage engineering activities, provide technical leadership, and collaborate with Product, Design, and QA teams to deliver high-quality software solutions that meet performance and scalability requirements. You will also foster an inclusive engineering culture and manage departmental resources.
The Senior Engineering Manager will lead the development and implementation of innovative software solutions with a focus on cloud technologies. Responsibilities include managing engineering teams, ensuring performance and reliability of solutions, driving diversity and inclusion, and transforming technical requirements into execution plans.
Lead the design, development, and deployment of complex software applications, ensuring best coding practices and system architecture. Oversee platform development while providing technical leadership and mentorship to engineers. Collaborate with senior leaders on policies and cross-functional roadmaps.
As a Senior Data Scientist at Oportun, you will develop data products and machine learning models for Risk and Fraud. You'll create monitoring tools, lead model governance discussions, and optimize marketing efforts using alternative data. This role involves driving business value through project planning and stakeholder management.
The Senior Software Engineer at Oportun will design, develop, and maintain advanced software solutions, lead technology efforts, mentor junior engineers, and collaborate with cross-functional teams to deliver high-quality systems that enhance financial services for members.
The Staff Data Engineer role at Oportun involves providing technical leadership, mentoring the data engineering team, designing complex data architectures, developing data pipelines, optimizing databases, and ensuring scalability and performance to meet business objectives.
The Staff Data Engineer will design, develop, and maintain data platforms, solve complex business problems with technical solutions, contribute to architectural decisions, mentor junior engineers, and collaborate with cross-functional teams to create scalable software solutions.
As a Senior Software Engineer at Oportun, you will design, develop, and maintain sophisticated software solutions while mentoring junior engineers and collaborating with cross-functional teams. You will influence architectural decisions and lead technical efforts for large initiatives to advance the company's mission in the fintech sector.
Lead the development of ML infrastructure, providing technical leadership and mentoring to a team, ensuring high quality standards from model inception to deployment, and collaborating with data scientists for optimized data pipelines. Implement best practices for model versioning and evaluate model performance while maintaining industry standards.