数据质量工程师 - 承包商
Data Quality Engineer - Contractor
关于公司
Jupiter 是全球在韧性规划和企业气候风险管理分析领域的市场领导者。我们的团队由数据、气候、地球和海洋科学，以及技术、风险管理、公司创建和公共政策领域的先驱者领导。我们的气候风险建模解决方案拯救生命，并减轻飓风、洪水、热浪、野火、干旱和其他极端天气事件对房屋、企业、基础设施、食物和水供应以及整个经济可能造成的灾难性影响。
Jupiter 也致力于全球社区。通过我们的 Jupiter Promise 计划，我们为资源匮乏的国家和社区提供服务，以促进合理的决策并考虑气候变化的潜在影响。员工被鼓励将专业知识贡献给 Jupiter Promise 计划下的各种项目。
Jupiter 正在推动多样性，以应对气候变化带来的多样星球。Jupiter 的创立原则是，通过正确的策略和正确的团队，我们可以让地球的经济做好应对气候变化相关挑战的准备。世界是多元的；一个多元化且包容的工作环境对于实现我们的目标至关重要。我们携手前进。
该承包商职位是跨职能团队的一部分，团队成员包括工程、产品和解决方案部门的人员，以完成产品发布和迭代。数据质量工程师将负责支持产品的数据管道的完整性、验证和可靠性，直接与外部数据供应商合作，确保提供给产品的数据准确、及时且符合用途。
你将负责
- 设计并执行数据质量保证和验证框架
- 在组织内协作以实现新功能，支持内部利益相关者，并调查和改进数据基础设施
- 与高级工程师、量化建模师和解决方案架构师合作，确保提供给产品和财务模型的数据经过验证并具备发布条件
- 参与站会和其他里程碑会议，以保持团队的进展和一致性
- 在供应商数据摄入和产品交付之间担任数据质量检查点，及时发现并阻止问题在下游出现
- 建立数据质量监控和文档，以支持上线后的流程
- 显示数据质量风险和供应商
查看英文原文
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.
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 codingfor production systems (modular code, notjupyter 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.
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
Originally posted on Himalayas