Associate Data Engineer

• Develop and maintain data pipelines, data integrations, and analytical datasets supporting actuarial, underwriting, claims, and business analytics.
• Partner with actuaries, analysts, and business stakeholders to understand data requirements and deliver reliable data solutions.
• Support Tableau, Power BI, and other reporting and analytics platforms by preparing and validating data assets and creating dashboards for management.
• Assist with data quality monitoring, validation, reconciliation, and documentation.
• Participate in developing data products that enable self-service analytics and reporting.
• Work with technology teams to support cloud-based data platforms and integration processes.
• Contribute to automation and process improvement initiatives that increase efficiency and data reliability.
• Follow data engineering standards, development practices, and governance requirements.
• Continuously learn and apply new data engineering and analytics technologies, tools, and techniques.

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, Statistics, Actuarial Science, or a related field
• 0 to 3 years of professional experience in data engineering, analytics, software development, data integration, or a related technical field
• Foundational knowledge of SQL and relational database concepts
• Exposure to Python or another programming language through coursework, internships, personal projects, or professional experience
• Strong analytical, critical thinking, and problem-solving skills
• Excellent written and verbal communication skills
• Demonstrated ability to learn new technologies and work collaboratively in a team environment
• Internship, co-op, research, or project experience involving data engineering, data analytics, reporting, or software development preferred
• Familiarity with Tableau, Power BI, or similar reporting and visualization tools preferred
• Exposure to cloud technologies such as Snowflake, Databricks, Microsoft Fabric, Azure, AWS, or similar platforms preferred
• Experience working with large datasets and data transformation processes preferred
• Interest in insurance, actuarial analytics, business intelligence, or advanced analytics preferred
• Exposure to AI-assisted development tools, automation technologies, or machine learning concepts preferred

Proficient in developing and maintaining data pipelines and integrations, with a strong foundation in SQL and data analytics tools such as Tableau and Power BI. Capable of collaborating with cross-functional teams to deliver reliable data solutions and support cloud-based data platforms.

• Data Pipeline Development
• SQL Proficiency
• Tableau Reporting
• Cloud Technologies Exposure
• Data Quality Monitoring

• SQL
• Python
• Data Integration
• Data Analytics
• Data Transformation
• Data Engineering
• Analytical Datasets
• Automation Technologies
• Machine Learning Concepts
• Statistical Analysis

• Analytical Skills
• Critical Thinking
• Problem-Solving
• Communication Skills
• Team Collaboration

• Actuarial Analytics
• Business Intelligence
• Insurance
• Data Governance
• Self-Service Analytics

• Tableau
• Power BI
• Snowflake
• Databricks
• Microsoft Fabric
• Azure
• AWS
• Data Visualization Tools
• AI-Assisted Development Tools
• Reporting Platforms