Sr Data Engineer - Hybrid

Sr Data Engineer - GE07BE

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 is seeking a Sr Data Engineer within the Actuarial Strategic Modeling team to design, develop, and implement modern and sustainable data assets to fuel machine learning and statistical modeling solutions across a wide range of strategic initiatives.

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

Core Values:

• Build high quality and reusable data products
• Trusted and transparent collaboration.
• Deliver safe, monitored products.
• Earn influence through humble confidence.
• Deliver viable products and evolve based on feedback.

Responsibilities:

• Develop and maintain scalable data pipelines and ETL processes to support actuarial analysis and reporting.
• Build automated data pipelines with 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

Minimum Requirements:

• Candidate 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.
• Bachelor’s degree or 5+ years of experience.
• 2+ years of Snowflake data warehousing, data pipelines and automation
• 3+ years of Python experience
• Proficient with SQL
• Experience working with Github
• Demonstrated history of manipulating and extracting value from various data structures and databases
• Able to communicate effectively with both technical and non-technical teams

Preferred Skills:

• Experience with agile software development is strongly preferred
• Exposure to AWS Services (i.e. 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:

$117,200 - $175,800

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

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