Data Engineer - Hybrid
The Hartford
- Hartford, CT
- Permanent
- Full-time
- Develop high quality, scalable software modules for next generation analytics solution suite that serves advanced statistical models and track key metrics
- Create data assets and build data pipelines that align to modern software development principles for further analytical consumption.
- Perform preliminary exploratory analysis to evaluate nulls, duplicates and other issues with data sources.
- Build automated data pipelines with Airflow and MLflow that serve advanced statistical models and track key metrics.
- Enhance and maintain model and data monitoring solutions that deliver automated insights to technical and non-technical audiences
- Consult with cross-functional team partners to understand business needs and develop reliable and effective solutions, that are easily maintainable
- Engage in activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.)
- Contribute to engineering projects, leveraging agile software development practices to manage work and communicate status
- Prototype high impact innovations that advance the Data Engineering capabilities of the Actuarial department, by leveraging new technologies (AWS, MLOps and Big Data).
- Proactively accesses technical issues and risks that could impact speed, functionality, flexibility, or clarity.
- Use Enterprise GitHub for version control, documentation, code collaboration, and technical project management
- Manage data and project work in a Linux-based filesystem.
- Support Actuarial community enablement efforts, including solution implementation and best practices adoption, through documentation, hands on instruction and formal training.
- Regularly engage in continuing education, including the development of MLOps and Cloud Engineering skills as well as Insurance Business proficiency
- 2+ years programming experience in a business setting.
- Proficiency in SQL and at least one additional functional or object-oriented programming language such as R or Python
- Demonstrated history of manipulating and extracting value from various data structures and databases.
- Ability to communicate effectively with both technical and non-technical teams
- Interest in deeply learning & understanding the Insurance Business and Actuarial role
- Curious and passionate for R&D and innovation
- Experience using GitHub for version control strongly preferred
- Exposure to Machine Learning, Statistical Modeling, or MLOps in a business context is preferred
- Experience with AWS or similar cloud computing platform is preferred
- Experience with Insurance data, especially with Pricing data processes, is a strong plus
- Exposure to Automation tools (Airflow, Cron, Autosys, etc.) is a plus
- Experience with agile software development is a plus
- Exposure to containerized computing (Docker, Kubernetes, etc.) is a plus
- Any AWS Cloud certification is a plus
- Experience with Linux-based file management desired