Data Engineer

Company Description

InsOps specializes in providing pre-built data pipelines designed exclusively for insurance applications. By curating and unifying data sources, InsOps enables actionable insights in significantly reduced timeframes. The company empowers clients with customized enterprise-grade insurance data lakes delivered within six weeks. With its innovative solutions, including conversational AI capabilities, InsOps ensures a substantial impact, delivering up to 100x increased business value for its clients.

Role Description

This is a full-time hybrid role for a Data Engineer based in Chicago, IL, with some flexibility for remote work. The Data Engineer will design, develop, and optimize data pipelines and ETL processes to manage large-scale datasets. The role will involve building and maintaining data models, developing data warehousing solutions, and supporting analytics initiatives to enable data-driven decisions. Collaboration with teams to ensure efficient data architecture and resolving technical challenges will also be a key aspect of day-to-day responsibilities.

Qualifications

• Proficiency in Data Engineering, Data Modeling, and Extract Transform Load (ETL) processes
• Experience in building and managing Data Warehousing and Data Analytics solutions
• Strong problem-solving skills and ability to manage complex data sets
• Hands-on experience with SQL, Python, or relevant programming languages
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud is a plus
• Bachelor's degree in Computer Science, Data Science, or a related field is preferred
• Strong communication skills and ability to work collaboratively in a hybrid environment