About the role

  • 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.

Benefits

  • Flexible time off
  • Comprehensive health coverage
  • Competitive salary
  • Paid parental leave
  • Other wellness benefits
  • Udemy access
  • Childcare assistance
  • Pet insurance discounts
  • Legal assistance
  • Additional discounts through Perkspot

Job title

Staff Data Engineer

Job type

Experience level

Lead

Salary

$203,000 - $228,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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