Sr Data Engineer - Hybrid

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford Reinsurance value stream is seeking a Sr Data Engineer with strong knowledge of data engineering with On-Prem to cloud migration experience. This position gives opportunity to lead a multi-year Ceded Reinsurance Integration Initiative. This candidate will technically lead the program initiatives specific to Ceded Reinsurance and should be proficient in using techniques that enable a highly iterative delivery approach of continuous requirement identification and will focus on delivering effective business value as quickly as possible using application of agile practices, principles and lean thinking. 

This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).

Responsibilities:

• Develop and maintain scalable data pipelines and ETL processes to support reinsurance processing, actuarial analysis, and reporting.
• Build automated data pipelines with tools like Airflow and MLflow that serve advanced statistical models and track key metrics.
• Assess new data sources and techniques.
• Mentor junior engineers and collaborate with various teams.
• Consult with cross-functional team partners to understand business needs and develop reliable and effective solutions that are easily maintainable.
• Use Enterprise GitHub for version control, documentation, code collaboration, and technical project management.
• Regularly engage in continuing education, including the development of MLOps and Cloud Engineering skills as well as Insurance Business proficiency.
• Present developments in data and analytics forums.

Qualifications:

• Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
• Bachelors degree and 5+ years of experience with Informatica data pipelines and automation.
• Knowledge of Ceded Reinsurance business is a must.
• Experience in on-premises to cloud migration of data pipelines, modernizing them to leverage full cloud potential.
• Proficient with Glue Job on AWS.
• Experience using Gen AI solutions to automate data engineering pipelines preferred.
• Proficient in at least one programming language, such as Java or Python.
• Strong expertise in Systems Architecture.
• 5+ years of deep practical experience in the role, with repeated experience performing business analysis in a variety of complex situations.
• Working knowledge of the ProCede application suite or similar Ceded Reinsurance system is a big plus.
• Experience in the conversion/migration of Policy/Claim Admin into ProCede or similar Ceded Reinsurance system.
• Ability to effectively interact with all levels of the organization (from entry-level end-users to senior management) and demonstrate strong leadership skills.
• Experience working in multi-source offshore delivery centers and shared services environments is a plus.
• Experience in Agile development, including prioritizing, creating/updating features and stories, and Test-Driven Development.
• Able to communicate effectively with both technical and non-technical teams.
• Strong experience with AWS Services (e.g., S3, EMR, AWS Batch, etc.).

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits