Sr Data Engineer – Small Business Actuarial

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.   

Our Small Business Actuarial department is creating a new engineering team that will play a crucial role in shaping the future of our actuarial capabilities. This position is a key role within the actuarial team aligned to our $5 Billion Small Business organization with a focus on supporting profitable growth across product lines. You will work closely with Line of Business (LOB) actuarial, Actuarial Strategic Modeling (ASM), and Actuarial Information Services (AIS) teams to recommend and implement data pipelines, tools, and process to enhance and automate our analytical capabilities. At our company, we believe in fostering a culture of collaboration, innovation, and continuous improvement. Join us and be part of a forward-thinking team that is driving innovation in the actuarial field.

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL processes to support actuarial analysis and reporting.
• Develop and implement new tools and processes to enhance and automate our data capabilities.
• Analyze complex data sets to identify trends and insights that inform pricing strategies.
• Ensure data quality and integrity across various data sources and platforms.
• Continuously monitor and improve existing data processes to ensure efficiency and accuracy.
• Collaborate with Line of Business (LOB) teams to understand their data needs and provide tailored solutions.

Minimum 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.
• 3+ years of programming experience in a business setting
• Experience in Python and SQL 
• Experience in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON
• Experience in Unix and Git 
• Experience in Automation tools (AWS Step Function, Airflow, etc.) 
• Able to communicate effectively with both technical and non-technical teams 
• Able to translate complex technical topics into business solutions and strategies

Preferred Skills and Experience:

• Bachelor’s or Master's degree in related discipline or 5+ years of equivalent experience in relevant engineering roles
• Experience in the insurance industry
• Experience with agile software development is strongly preferred
• Exposure to AWS Services (i.e. S3, EMR, Sagemaker, AWS batch etc)
• Exposure to Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift)
• GenAI Experience (Prompt engineering, RAG, LLM)

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/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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