This role has closed. Jupiterintel has taken the posting down.
hirly last saw it live on 22 September 2026. See similar open roles below, or browse all jobs in New York.
Jupiterintel
Data Quality Engineer - Contractor
All - San Mateo, CA | Boulder, CO | New York, NY
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hirly's read of this role
- Seniority
- Mid level
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 21 Sept 2026
Derived automatically from the posting.
the posting
About Us
Jupiter is the global market leader in analytics for resilience planning and enterprise climate risk management. We are led by pioneers in data, climate, and earth and ocean sciences, as well as technology, risk management, company building, and public policy. Our climate risk modeling solutions save lives and mitigate potentially catastrophic impacts inflicted by hurricanes, floods, heat waves, wildfires, drought, and other extreme weather events on homes, businesses, infrastructure, food and water supplies, and entire economies.
Jupiter is also committed to the world community. Through our Jupiter Promise initiative we provide services to under-resourced countries and communities to promote sound decision making while including the potential impacts of climate change. Employees are encouraged to provide their expertise to various programs under the Jupiter Promise initiative.
Jupiter is bringing diversity to prepare a diverse planet for our changing climate. Jupiter was founded on the principle that with the right approaches and the right team, we can prepare Earth’s economies to meet the challenges associated with climate change. The world is a diverse place; a diverse workforce in an inclusive environment is essential to meet our goals. We go forward together.
This contractor role is part of a cross-functional team that includes team members from Engineering, Product, and Solutions to deliver on product launches and iterations. The Data Quality Engineer will own the integrity, validation, and reliability of the data pipelines that power the product, working directly with external data vendors to ensure the data feeding the product is accurate, timely, and fit for purpose.