Capgemini is seeking a highly motivated and detail-oriented Data Engineer for Insurance Carrier.
As a Data Engineer, you will work closely with the Chief Analytics Office to gather requirements, create and iterate on data products and develop pipelines that can be utilized to provide this data on an on-going basis. In addition, this role may take on other data projects that assist in enhancing data delivery across PL and Distribution. For example, this role may assist with pivoting from antiquated technologies to enterprise standards.
Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premium well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.
Requirements
Total Work Experience: Minimum Required: 1-3 / Preferred: 1-3
Work Experience in This Field: Minimum Required: 1-3 / Preferred: 1-3
Insurance Background - preferred
English Proficiency: Fluent
Required Education: Bachelor
Required Branch(es) of study: Data Science, Advanced Analytics, Data Engineering, ML Ops
Data Governance and Management
Data Mining and Engineering
Machine Learning Models and Operations
Other Critical Skills
Data Engineering - Intermediate
ML Ops & Model Deployment - Intermediate
Cloud Practices - Intermediate
Software / Tool Skills
Python - Entry Level (1-3 Years)
Power BI - Entry Level (1-3 Years)
SQL - Intermediate (4-6 Years)
Excel - Intermediate (4-6 Years)
Benefits
Benefits:
This position comes with competitive compensation and benefits package:
About Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.
Get the future you want At Capgemini, we are driven by a shared purpose: Unleashing human energy through technology for an inclusive and sustainable future.Technology shapes the way we live our lives. How we work, learn, move and communicate. That means our technology expertise, combined with our business knowledge, does more than help you transform and manage your business. It can help you realize a better future and create a more sustainable, inclusive world.It’s a responsibility we don’t take lightly. That’s why, since our inception more than 50 years ago, we have always acted as a partner to our clients, not a service provider. A diverse collective of nearly 350,000 strategic and technological experts across more than 50 countries, we are all driven by one shared passion: to unleash human energy through technology.As we leverage cloud, data, AI, connectivity, software, digital engineering, and platforms to address the entire breadth of business needs, this passion drives a powerful commitment. To unlock the true value of technology for your business, our planet, and society at large. From advancing the digital consumer experience, to accelerating intelligent industry and transforming enterprise efficiency, we help you look beyond ‘can it be done?’ to define the right path forward to a better future.
Be the first to apply. Receive an email whenever similar jobs are posted.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Engineer Q&A's