2026-7928 Data Engineer-Mid (Night Shift)

Have you ever wondered how insurance companies calculate the price of insurance policies 

The Corporate Actuarial Data & Technology Team is a dynamic growing team at team implements innovative insurance pricing models and analytical tools to improve profitability and growth across a wide range of Property & Casualty insurance products. 

The Data Engineer will implement complex databases and data pipelines that put analytics at the heart of real-time decision-making. They will work closely with leaders across the company on high-profile analytics projects that drive business strategies. They provide technical guidance and ensure the use of sound engineering practices and effective use of resources. As a key member of the Corporate Actuarial Data & Technology data engineering team they will advance our implementation capabilities and help our team deliver solutions faster. 

Responsibilities:

• Work with strategic partners to solve business problems by developing best-in-class data solutions 
• Perform data manipulation using SQL and Python to develop data assets 
• Leverage technology to automate data ingestion transformation and integration 
• Provide the appropriate level of documentation of sources and technical solutions 
• Evaluate data quality and completeness 
• Build strong partnerships with peers across the organizationto support data-related goals 
• Explore new technologies and data sources with curiosity and creativity 
• Identify design and implement internal process improvements: automating manual processes and optimizing data pipelines 
• Discover and explore new sources of data with curiosity and creativity 
• Create and maintain optimal data pipeline architecture 

Qualifications :

• The ideal candidate has 1-2 years of experience to 3-4 years of experience of data/software engineering experience working with SQL Python and relational databases. 
• Understanding and experience with dimensional data modeling (star schema) 
• Familiarity with the MLOps framework 
• Strong data manipulation skills for analytics 
• Excellent critical thinking skills to tackle complex data challenges 
• Strong organizational skills and very detail oriented 
• Exceptional collaboration and relationship building skills 
• Comfortable working in a fast paced highly collaborative environment 
• Ability to effectively communicate to different target audiences 
• Resilient problem solving and critical thinking skills 
• Flexibility - able to meet changing requirements and priorities

Additional Information :

• BS in Computer Science Information Technology degree Data Analytics Management Information Systems or equivalent 

Remote Work :

Yes

Employment Type :

Full-time