Sr. Data Engineer (Hartford, CT)

Hartford, CT, United States

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 Senior Data Engineer to join the Actuarial Technology and Innovation team to design, develop, and implement modern and sustainable data assets to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.

The Actuarial Technology and Innovation team is a dynamic mix of Actuarial and Data Science professionals utilizing statistical modeling, machine learning, and advanced data engineering techniques to enhance core Actuarial processes. As a member of the LOB Engineering pillar, you will work directly with our Actuarial partners in building & designing tailor-fit data pipelines & processes. We are a forward-focused organization that fosters collaboration, encourages creative design, and offers abundant opportunities for visibility, allowing candidates to shape innovative solutions and showcase their talents to a wide audience.

As a Senior Data Engineer, you will be at the forefront of driving impactful solutions throughout the entire software development lifecycle, ensuring reliable data delivery. Our team's culture is deeply rooted in embracing emerging technologies and empowering you to select the optimal tools for each unique project, so curiosity and adaptability are highly valued. Strong candidates will also demonstrate a solid foundation in data management, software engineering, and process automation along with an enthusiasm for delivering efficient solutions to partners.

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

Must be eligible to work in the US without company sponsorship

Responsibilities:

Design and develop high quality, scalable software modules for next generation analytics solution suite

Prototype high impact innovations, catering to changing business needs, by leveraging new technologies

Consult with cross-functional stakeholders in the analysis of short and long-range business requirements and recommend innovations which anticipate the future impact of changing business needs

Formulate logical statements of business problems and devises, tests and implements efficient, cost-effective application program solutions

Identify and validate internal and external data sources for availability and quality. Work with SMEs to describe and understand data lineage and suitability for a use case

Create data assets and build data pipelines that align to modern software development principles for further analytical consumption. Perform data analysis to ensure quality of data assets.

Develop code that enables real-time modeling solutions to be ingested into front-end systems

Produce code artifacts and documentation using GitHub for reproducible results and hand-off to other data science teams

Minimum Qualifications: 3+ years of relevant experience recommended

Proficiency in SQL and R or Python

Proficiency in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON

Proficiency in ETL concerning metadata management and data validation

Proficiency in Unix and Git

Interest & willingness to deeply understand Insurance & Actuarial business

Able to communicate effectively with both technical and non-technical teams

Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution

Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques

Preferred Skills and Experience: Experience with Machine Learning, Statistical Modeling, or Actuarial Science

Experience with agile software development

AWS Certification or experience with AWS Services (S3, EMR, etc.)

Proficiency in Automation tools (Airflow, Cron, Autosys, etc.)

Experience with Cloud data warehouses, automation, and data pipelines

Experience with containerized computing (Docker, Kubernetes, etc.)

Experience building CICD pipelines or IAC (Infrastructure as Code)

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:

$110,560 - $165,840

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

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