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See allAbout the Role:
- This role is part of a cross-functional team including Engineering, Product, and Solutions.
- The Data Quality Engineer will own the integrity and reliability of data pipelines.
What You Will Do:
- Design and execute frameworks for data quality assurance and validation.
- Collaborate across the organization to implement new features and improve data infrastructure.
- Partner with senior engineers and modelers to validate data for product and financial models.
What You Will Need:
- Python coding for production systems (modular code).
- Git workflow, Docker, and DAG-based ETL orchestration.
- Data validation pipeline design and automated testing.
What Sets You Apart:
- 3+ years in data engineering or quality roles.
- Experience managing external data vendors.
- Experience in fast-paced cross-functional environments.
Jupiter Intelligence
Jupiter is the global market leader in analytics for resilience planning and enterprise climate risk management. Led by pioneers in data, climate, and technology, the company fosters an inclusive, mission-driven culture and is committed to preparing economies for climate change.