2026-7928 Data Engineer-Mid (Night Shift)

Job Description

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 Arch. This 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 organization to 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