Remote Senior Staff Data Engineer

Summary

Join Oportun's dynamic team as a Senior Staff Data Engineer and lead the development of our data infrastructure. As a pivotal role in elevating our data engineering capabilities, you will conceive and implement a state-of-the-art data infrastructure, collaborating with diverse teams to craft revolutionary solutions that redefine the norms of FinTech.

Requirements

• Requires 12+ years of related experience in data engineering, with a Bachelor's degree in Computer Science; or a Master's degree with an equivalent combination of education and experience
• Extensive experience orchestrating the development of end-to-end data engineering infrastructure for intricate and large-scale applications
• Proven record of transformative leadership, guiding technical teams to achieve remarkable outcomes and innovation
• Profound mastery of data engineering architecture and frameworks across batch and stream processing of data, such as Hadoop ecosystem, Medallion architecture, Databricks or equivalent data warehouse / data lake platforms, coupled with Python / PySpark programming
• Thorough comprehension of software engineering principles, version control (Git), and collaborative development workflows
• Adeptness with cloud platforms (AWS / Azure / GCP) and utilization of cloud-native services for crafting robust data engineering infrastructure
• Track record of successfully integrating DevOps practices, continuous integration, and continuous deployment (CI/CD) pipelines
• Superior problem-solving acumen and ability to navigate intricate technical challenges with dexterity
• Exceptional communication aptitude, capable of fostering effective collaboration across diverse teams and stakeholders

Responsibilities

• Set the strategic vision and lead the implementation of a cutting-edge data infrastructure roadmap
• Provide exceptional technical leadership, mentoring, and guidance to a team of data engineers
• Collaborate closely with data scientists to translate intricate model requirements into optimized data pipelines
• Spearhead the establishment of best practices for model versioning, experiment tracking, and model evaluation
• Engineer automated CI/CD pipelines that facilitate seamless deployment, monitoring, and continuous optimization
• Define and refine performance benchmarks, and optimize data infrastructure to achieve peak correctness, availability, cost efficiency, scalability, and robustness
• Work with multiple teams of data engineers to design, develop, and test major software and data systems components using an agile, scrum methodology
• Drive strong data engineering practices around product development execution, operational excellence in observability, quality, reliability, and developer efficiency
• Remain at the forefront of industry trends and emerging technologies, expertly integrating the latest advancements into our data ecosystem

Preferred Qualifications

• Experience or Knowledge in financial services domain
• Experience or Knowledge of one or more data processing frameworks using AWS will be a strong plus
• Ability to handle multiple competing priorities in a fast-paced environment