Associate Data Engineer
About The Position
We are seeking a motivated and curious Associate Data Engineer to join our Analytics Hub and help transform data into a strategic business asset. This role is designed for early-career professionals who want to build a strong foundation in data engineering, analytics, and cloud-based technologies while supporting critical business functions across the organization. The Associate Data Engineer will work closely with actuaries, analysts, underwriting, claims, and technology teams to develop and support data pipelines, analytical datasets, and reporting solutions that enable informed business decisions. The ideal candidate is a problem solver who enjoys working with data, learning new technologies, and collaborating with business partners to improve data accessibility and quality.
Requirements
- 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.
Nice To Haves
- Internship, co-op, research, or project experience involving data engineering, data analytics, reporting, or software development.
- Familiarity with Tableau, Power BI, or similar reporting and visualization tools.
- Exposure to cloud technologies such as Snowflake, Databricks, Microsoft Fabric, Azure, AWS, or similar platforms.
- Experience working with large datasets and data transformation processes.
- Interest in insurance, actuarial analytics, business intelligence, or advanced analytics.
- Exposure to AI-assisted development tools, automation technologies, or machine learning concepts.
Responsibilities
- Develop and maintain data pipelines, data integrations, and analytical datasets that support actuarial, underwriting, claims, and business analytics.
- Partner with actuaries, analysts, and business stakeholders to understand data requirements and assist in delivering 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 activities.
- Participate in the development of 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 established data engineering standards, development practices, and governance requirements.
- Continuously learn and apply new technologies, tools, and techniques related to data engineering and analytics.
Benefits
- Competitive base salary plus incentive plans for eligible team members
- 401(K) retirement plan that includes a company match of up to 6% of your eligible salary
- Free basic life and AD&D, long-term disability and short-term disability insurance
- Medical, dental and vision plans to meet your unique healthcare needs
- Wellness incentives
- Generous time off program that includes personal, holiday and volunteer paid time off
- Flexible work schedules and hybrid/remote options for eligible positions
- Educational assistance
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
