Data Engineer - Hybrid

The Hartford

The Hartford, a forward-thinking insurance company, invites talented individuals to contribute to shaping the future by joining their team. As a Data Engineer, you will work within the Actuarial Strategic Modeling team to create sustainable data solutions for machine learning and statistical modeling. The role is designed to help the company exceed traditional insurance offerings, supporting strategic initiatives through modern data engineering.

In this role you can expect to have the responsibilities:

• Develop and maintain scalable data pipelines and ETL processes for actuarial analysis.
• Automate data pipelines using Airflow and MLflow to support advanced statistical models.
• Collaborate with cross-functional teams to deliver effective and maintainable solutions.
• Utilize Enterprise GitHub for version control and project management.
• Participate in ongoing professional development in MLOps, Cloud Engineering, and insurance.

This role requires you to have:

• Authorization to work in the US without sponsorship.
• Bachelor’s degree or 3+ years of relevant experience.
• Proficiency in Snowflake data warehousing and automation.
• Experience with Python and SQL.
• Familiarity with GitHub.
• Ability to handle various data structures and communicate across teams.

You would benefit from having:

• Experience in agile software development.
• Exposure to AWS services like S3, EMR, and Sagemaker.

The Hartford is committed to diversity, equity, and inclusion, ensuring equal opportunities for all individuals regardless of background. They offer a competitive compensation package including bonuses and long-term incentives.