Data Quality Engineer

Jupiter Intelligence

All - San Mateo, CA | Boulder, CO | New York, NY

Posted on: 2026-09-11

Category: climate

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Employment type:

Full time

Remote?

Yes

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Jupiter Intelligence is a climate analytics company that provides data-driven risk assessment solutions focused on the physical impacts of climate change. The company specializes in quantifying and forecasting climate-related risks—such as flooding, extreme heat, wind, and wildfire—for businesses, financial institutions, governments, and infrastructure operators. Their platform enables clients to understand and manage long-term climate exposure across assets and portfolios.

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 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.

When we say Jupiter Intelligence is an Equal Opportunity Employer, we are not just adding a legal addendum. Of course, we do not discriminate:

Jupiter Intelligence is an equal opportunity employer to all, regardless of age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), and sexual orientation.

In fact, we celebrate our differences as our strength and actively work to build an inclusive environment for all. If we can do anything to improve your application and interview process, please let us know!

Please also note: Successful candidates must be authorized to work in the US

What You Will Do

Design and execute frameworks for data quality assurance and validation
Collaborate across the organization to implement new features, support internal stakeholders, and investigate and improve data infrastructure.
Partner with the Sr. Engineer, Quantitative Modeler, and Solutions Architect to ensure data feeding the product and financial models is validated and launch-ready
Participate in stand-ups and other milestone meetings to maintain momentum and alignment across the team.
Serve as the data quality checkpoint between vendor data ingestion and product delivery, catching issues before they surface downstream
Establish data quality monitoring and documentation to support the pipeline post-launch
Surface data quality risks and vendor issues to the Director of Engineering in time to inform launch decisions
Manage external data vendor relationships and ensure ongoing data quality and validation

What You Will Need

Python coding for production systems (modular code, not jupyter notebooks)
Git workflow and collaborative code review
Docker images and container build tooling
Data validation and verification pipeline design, including automated testing
Data quality assessment and solution feasibility analysis
Data exploration and engineering tools: pandas, SQL, and similar
DAG-based ETL orchestration (Prefect or similar)
AWS, especially S3

Jupiter’s Tech Stack

Prefect workflow jobs and ETL
Python (with heavy use of Pydantic and pytest)
Snowflake and Postgresql SQL
Temporal durable execution engine

What Sets You Apart

3+ years of experience in data engineering, data quality, or analytics engineering roles
Bachelor’s degree in computer science, statistics, or a related field. Equivalent practical experience also considered.
Experience managing or coordinating with external data vendors, including data quality troubleshooting
Experience working in a fast-paced, cross-functional environment, ideally supporting a product launch or similar high-stakes delivery
Experience partnering with quantitative or financial roles (e.g., financial modeling, data science) or experience in climate tech strongly considered.