Data Engineer - Hybrid

Data Engineer - GE08AE

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 Small Commercial Analytics Office is seeking an enthusiastic Data Engineer to deliver data and analytical capabilities for the Small Commercial business area.

The ideal candidate will have a strategic perspective, an aptitude for collaborating with others and a robust technical skillset.

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

This candidate will partner closely with business intelligence resources to design end-to-end analytical solutions. The engineer will play a critical role in the enablement of the segment’s data strategy, including the migration of data pipelines to the cloud.

Other responsibilities may include collaborating with business partners to enable data-driven insights as well as driving innovation within the organization.

Key Responsibilities :

• Design, develop, and maintain data pipelines for extraction, transformation and loading processes using ETL tools, R / Python in Cloud and Oracle environments to support data analytics and reporting efforts
• Integrate and aggregate complex data from multiple data sources and platforms to enhance customer access to information and promote a data-driven culture
• Collaborate with Business Intelligence team and Data Engineering lead to establish a strategic end-to-end solution and to ensure data assets meet reporting and analytics requirements.
• Develop & deploy analytical solutions leveraging machine learning technologies.
• Develop and Support the migration activities of the reporting assets in Oracle assets to Snowflake.
• Dedicated and Reliable resource for our Enablement Team where we actively work on critical data enhancements, immediate reporting needs and attain quick resolution on data / dashboard issues.
• Develop and maintain data analytics tools and frameworks
• Demonstrate a strong willingness to explore and leverage new tools and technologies as per project needs

Qualifications :

• Bachelor’s degree in computer science, Data Engineering, or a related field
• Minimum 2 years of experience as a Data Engineer, with a strong track record in quantitative, analytical and data manipulation skills
• Confident, self-starter capable of independently driving multiple concurrent projects to completion
• Strong technical experience in Oracle PL / SQL, Snowflake, Python, and R
• Experience with ETL tools (Informatica, Talend)
• Familiarity with data warehousing solutions (e.g., Oracle, Snowflake).
• Ability to build effective relationships with business partners
• Knowledge of data integration tools and technologies.
• Strong problem-solving skills and attention to detail
• Excellent communication and teamwork skills
• Experience in Commercial Lines is a plus
• Experience working in an Agile framework is a plus

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 :

$97,600 - $146,400

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

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