Prosper needs to design, build, and improve automated ETL/ELT pipelines that are reliable, scalable, and easy to maintain to move data safely and efficiently across internal and external systems so teams at Prosper can use trusted data when they need it.
Requirements
- Strong in Python
- Comfortable with SQL in a DevOps environment.
- Deep experience in Python; experience with Java, C, or Go is a plus.
- Proficiency in a SQL (e.g. BigQuery, T-SQL, Redshift, PostgreSQL), with an interest in dimensional modeling and data warehouses.
- Solid Git/GitHub skills and familiarity with Agile and the SDLC.
- DevOps experience with CI/CD, containers (Docker, Kubernetes), and infrastructure as code (Terraform or similar).
- Proficient with LLM-assisted development in IDEs such as Cursor.
Responsibilities
- Design, build, and improve automated ETL/ELT pipelines that are reliable, scalable, and easy to maintain.
- Your work will move data safely and efficiently across internal and external systems so teams at Prosper can use trusted data when they need it.
- Partner with product, analytics, and business teams to understand their needs and make data easier to find, use, and share.
- Work with engineers, DBAs, infrastructure, product, data engineers, and analysts to learn Prosper’s data ecosystem and keep it running fast and secure.
- Forge strong relationships with business stakeholders, analysts, and data scientists to grasp their needs and craft data solutions to meet them.
- Design and run self-checking ETL/ELT pipelines with logging, alerting, and automated tests.
- Develop pipelines on Google Cloud Platform (GCP) using Python, dbt, and Airflow (Composer), and additional tools as needed.
Other
- We value engineers who solve problems, sweat details, and simplify complex systems.
- If you like improving tools and processes and want to help shape Prosper’s culture of innovation and collaboration, we’d love to talk.
- Degree in Computer Science or related field, or equivalent experience.
- 8+ years of object-oriented programming in an enterprise setting.
- Strong communication and collaboration skills across technical and non-technical teams.
