Data Engineer

Socket.dev; Leawood (KS); On-site; USD 100,000 - 150,000; Full time

Job summary

SCOR is seeking a Data Engineer to design, build, and operate reliable data pipelines and analytics-ready datasets powering reporting and decision-making. You will develop ETL/ELT processes using Python, Azure Databricks, and SQL, integrating data across 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 with strong testing, monitoring, performance, and data

Qualifications

• Experience designing, building, and operating reliable data pipelines and analytics-ready datasets.
• Proficient in Python, Azure Databricks, and SQL for ETL/ELT processes.
• Ability to integrate data across MS SQL Server and PostgreSQL with governance.

Responsibilities

• Design, build, and operate data pipelines and analytics-ready datasets.
• Optimize ETL/ELT processes and ensure data quality and governance.
• Collaborate with analysts, data consumers, and engineering teams to deliver scalable data products.
• Apply testing, monitoring, and performance enhancements to data workflows.
• Explore AI-assisted tools to enhance productivity and solution quality and ensure responsible AI principles.

Skills

Python

ETL/ELT design

SQL

Data pipelines

Data governance

Testing & monitoring

Data quality

AI integration

Tools

Azure Databricks

Microsoft SQL Server

PostgreSQL

Job description

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.