Oportun. Inc

Data Engineer, DMBI

Req No.
Data & Analytics
Regular Full-Time
Remote / WFH
Job Locations

Company Overview


Oportun (Nasdaq: OPRT) is a financial services company and digital platform that provides responsible consumer credit to hardworking people. Using A.I.-driven models that are built on years of proprietary customer insights and billions of unique data points, we have extended millions of loans and billions in affordable credit, providing our customers with alternatives to payday and auto title loans. In recognition of our responsibly designed products which help consumers build their credit history, we have been certified as a Community Development Financial Institution (CDFI) since 2009.



Since extending our first loan in 2006, Oportun has made over 4 million loans, totaling over $10 billion to hardworking low- and moderate-income individuals. In turn, Oportun has helped more than 905,000 people begin establishing the credit history required to enter the financial mainstream. At the same time, Oportun’s customers have saved an estimated $1.9 billion in interest and fees compared to the alternatives typically available to them.


Department Overview


We are growing our world-class team of mission-driven risk managers who are passionate about broadening financial inclusion by untapping insights from alternative data. Be part of the team responsible for developing and running Oportun’s marketing optimization platform that leverage Oportun’s core intellectual property for scoring risk for underserved consumers that often lack a traditional credit score or are mis-scored by traditional credit bureaus. In this role you will be working with large and diverse alternative data sets and machine learning to execute multi-product and multi-channel marketing programs.  You will also drive growth and optimize marketing spend across multiple products and channels by leveraging alternative data to help predict which consumers would likely be interested in one of Oportun’s affordable, credit building lending products.


Do you love to pioneer things in technology?


Do you love solving complex problems & designing solutions that are critical to the business?


Do you enjoy a fast-paced, collaborative, and iterative delivery environment where you get to utilize emerging technologies? If this excites you, then join us and be part of a Big Data transformation journey!


We're seeking a hands-on Analytics Data Engineer that can design, code and provide architecture solutions for the team. The right candidate for this role is passionate about technology, can interact with technical & non-technical stakeholders, thrives under pressure, and is hyper-focused on delivering exceptional results. The person will have the opportunity to influence and interact with fellow technologists, collaborating cross-functionally across the enterprise, and making significant impact.



  • Work with a diverse set of business data domains to design and build data solutions for analytics and business data users
  • Build and maintain complex data integrations for internal and external data
  • Maintain the data domain metadata and data catalog
  • Develop a strong contextual knowledge of the data in use to provide accurate 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 decisioning
  • 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
  • 2+ years of experience with data development and data warehousing
  • Experience with data analytics and preparing data for analytics data users
  • Experience with cloud data warehouse platforms (Databricks, Redshift, and Big Query preferred)
  • Experience with data visualization/BI platforms (Birst preferred)
  • Experience with data transformation tools (Talend and dbt preferred)
  • Expert in SQL and highly capable in Python
  • Experience with data pipeline tools
  • Experience with orchestration and build 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 and lending preferred
  • Knowledge of customer data integration and customer data platforms preferred





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