Data Engineer

SCOR • Leawood, KS

1d

About The Position

We are seeking an experienced and highly motivated Data Engineer to design, build, and operate reliable data pipelines and analytics-ready datasets that power reporting and business decision-making. In this role, you will develop and optimize ETL/ELT processes using Python, Azure Databricks, and SQL, integrating data across platforms including Microsoft SQL Server and PostgreSQL. You will partner with analysts, data consumers, and engineering teams to translate business requirements into scalable, well-governed data products, applying strong engineering practices around testing, monitoring, performance, and data quality, while using AI-assisted development tools and generative AI to enhance productivity and solution quality. We are looking for someone with hands-on experience integrating AI capabilities into enterprise data workflows and a strong understanding of responsible AI principles, including data privacy, fairness, and explainability.

As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.

Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies.

As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.

SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.

Requirements

• Experience designing, building, and operating reliable data pipelines and analytics-ready datasets.
• Experience developing and optimizing ETL/ELT processes using Python, Azure Databricks, and SQL.
• Experience integrating data across platforms including Microsoft SQL Server and PostgreSQL.
• Experience partnering with analysts, data consumers, and engineering teams to translate business requirements into scalable, well-governed data products.
• Experience applying strong engineering practices around testing, monitoring, performance, and data quality.
• Experience using AI-assisted development tools and generative AI to enhance productivity and solution quality.
• Hands-on experience integrating AI capabilities into enterprise data workflows.
• Strong understanding of responsible AI principles, including data privacy, fairness, and explainability.

Responsibilities

• Design, build, and operate reliable data pipelines and analytics-ready datasets.
• Develop and optimize ETL/ELT processes using Python, Azure Databricks, and SQL.
• Integrate data across platforms including Microsoft SQL Server and PostgreSQL.
• Partner with analysts, data consumers, and engineering teams to translate business requirements into scalable, well-governed data products.
• Apply strong engineering practices around testing, monitoring, performance, and data quality.
• Utilize AI-assisted development tools and generative AI to enhance productivity and solution quality.
• Integrate AI capabilities into enterprise data workflows.
• Understand and apply responsible AI principles, including data privacy, fairness, and explainability.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed