At Possible Financial Inc., the business problem is to help communities unlock economic mobility through affordable credit products crafted to improve financial health for generations, by building a new type of consumer finance company that helps customers stay out of debt rather than profit from their staying in it.
Requirements
- Knowledge of SQL, Python, and Spark
- Strong understanding of data modeling and architecture principles
- Proficiency in cloud platforms like AWS, GCP, or Azure and IaC tools such as Terraform
- Experience with modern data warehousing solutions
- Knowledge of at least one orchestration tool (e.g., Airflow, Dagster, Prefect, AWS Step Functions)
- Experience with dbt or similar transformation tools
- Background in implementing data governance and security practices
Responsibilities
- Design and implement scalable data pipelines and ETL processes
- Build and optimize data models for analytics and machine learning applications
- Collaborate with finance, marketing, and other teams to support their data needs
- Develop and maintain cloud-based data infrastructure (AWS + Databricks)
- Implement data quality measures and monitoring systems
- Evaluate and implement new data technologies and tools
Other
- 3+ years of experience in data engineering or a similar role
- Hybrid position, working in the office three days a week
- Dedicated following of hundreds of thousands of customers
- Public Benefit Corporation with a dual dedication to building a profitable and socially impactful company
- Comprehensive benefits, bonus plan, commuter benefits, and excellent office space with complimentary drinks and food options
