Data Engineer

ABOUT OPORTUN

Oportun (Nasdaq: OPRT) is an A.I.-powered digital banking platform that seeks to make financial health effortless for anyone. Driven by a mission to provide inclusive and affordable financial services, Oportun helps its nearly 1.5 million hardworking members meet their daily borrowing, savings, banking, and investing needs. Since inception, Oportun has provided more than $12 billion in responsible and affordable credit, saved its members more than $2 billion in interest and fees, and automatically helped members set aside more than $7.2 billion for rainy days and other needs. In recognition of its responsibly designed products, Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009.

With headquarters in California and a remote-first corporate culture, our 3,000+ team members work in Oportun locations and remotely throughout the United States, Mexico, and India.  Our global operations include our Mexico contact centers and administrative offices, our India technology development center, and our US corporate, technology, and retail operations.

We are proud to have been named a “Top Workplace” by the Bay Area News Group for three consecutive years, one of Fast Company’s Most Innovative Companies in the World for 2020 and recognized as one of TIME Magazine’s 2018 Genius Companies Reinventing the Future.

WORKING AT OPORTUN

Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups and our Diversity, Equity, Inclusion and Belonging Council.

Responsibility:

• Work with our different teams to design and build data solutions for analytics and business data users.
• Build, test and maintain complex data pipelines. Maintain the data domain metadata and data catalog.
• Develop a strong contextual knowledge of the data in use to provide accuracy and effective data solutions.
• Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, user guides, etc.)
• Design and execute strategies for real-time data analysis and decision-making.
• Actively promote and enhance best practices, standards, and audits to certify and preserve high-quality data that is fit for purpose.
• Become a subject matter expert on new Data Warehouse technologies, as well as provide recommendations on making improvements.
• Own, troubleshoot and resolve incidents, including escalating and managing problems with vendors.
• Engage with cross-functional teams to deeply understand requirements, insights, and needs.
• Be open and willing to learn new skills!

• Bachelor’s degree in computer science/data processing or equivalent.
• 4to 8 years of experience in data development and data warehousing.
• Experience with data analytics and preparing data for analytics data users
• Experience with cloud data warehouse platforms (Databricks and Redshift preferred)
• Experience with data transformation tools (Talend and dbt preferred)
• Expert in SQL and highly capable in Python and experience with data pipeline tools and Spark
• Experience with orchestration and building automation tools (Jenkins, Harness, and Airflow preferred)
• Ability to work independently and deliver high-quality results
• Ability to work in an Agile environment (Scrum, Lean, Kanban, etc)
• Outstanding communication and problem-solving skills
• Knowledge of finance, accounting, capital markets, and lending preferred
• Knowledge of customer data integration and customer data platforms preferred.

We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate.