2024-7149Data Engineer

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 realtime decisionmaking. They will work closely with leaders across the company on highprofile 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. 

Job Responsibilities

• Work with strategic partners to solve business problems by developing bestinclass 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 datarelated 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 :

Required Skills/Experience

• The ideal candidate has 12 years 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

Technical Skills                           Proficiency Level                   Required (R) /Optional (O) 

SQL                                                             3                                                     R

Python                                                         3                                                     R

Git                                                                2                                                     R

Microsoft Excel                                          2                                                     R

Data Modeling  
(Dimensional modeling)                               2                                                    O

Cloud Experience  
(Azure preferred AWS/GCP acceptable)     2                                                    O

Snowflake                                                     2                                                    O

Databricks                                                     2                                                    O

Data warehouse architecture                        2                                                    O

Microsoft Office Products 
(MS Teams Outlook Word

PowerPoint etc.                                           2                                                    O

Additional Information :

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

Remote Work :

Yes

Employment Type :

Fulltime