Staff Data Engineer
About The Position
Your role in our mission We’re hiring a Staff Data Engineer with a solid software engineering background. You’re strong in Python and comfortable with SQL in a DevOps environment. You’ll 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. You’ll partner with product, analytics, and business teams to understand their needs and make data easier to find, use, and share. 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. How you’ll make an impact 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. Evaluate new tools and approaches; bring forward practical ideas that improve speed, quality, or cost. Bring curiosity, ownership, and clear thinking to tough engineering problems.
Requirements
- Degree in Computer Science or related field, or equivalent experience.
- 8+ years of object-oriented programming in an enterprise setting.
- 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.
- Strong communication and collaboration skills across technical and non-technical teams.
- 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.
- Commitment to an inclusive, learning-focused culture and continuous improvement.
Responsibilities
- 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.
- Evaluate new tools and approaches; bring forward practical ideas that improve speed, quality, or cost.
- Bring curiosity, ownership, and clear thinking to tough engineering problems.
Benefits
- Flexible time off, comprehensive health coverage, competitive salary, paid parental leave, and other wellness benefits.
- A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts through Perkspot.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
251-500 employees
