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The Hartford · 10 hours ago

Manager Data Engineering

Hartford, CT

Full-time

Hybrid

Mid, Senior Level

$127K/yr - $191K/yr

4+ years exp

The Hartford is an insurance company that strives to make a difference by going beyond traditional coverages and policies. They are seeking a Data Engineering Manager to lead a team of Data Engineers in designing and implementing data assets for machine learning and statistical modeling solutions. The role involves mentoring engineers, overseeing engineering projects, and collaborating with cross-functional teams to enhance data processes and solutions.

Auto InsuranceCommercial InsuranceEmployee BenefitsFinanceFinancial ServicesInsuranceLife InsuranceProperty Insurance

No H1B

Responsibilities

Lead and mentor Data Engineers to deliver and maintain reusable and sustainable analytical processes that assist Actuarial Modelers in meeting their strategic objectives

Learn and coach Machine Learning and MLOps, Engineering, and Insurance Business concepts & terminology, applying that knowledge for the best fit-to-purpose solution

Anticipate team and individual growth needs, identify relevant opportunities and coach direct reports and peers accordingly

Regularly engage in continuing education, including the development of project and people management skills

Consult with cross-functional stakeholders in the analysis of short and long-range business requirements and recommend modernization that anticipates future business needs

Own and lead engineering projects, leveraging agile software development practices to manage work and communicate status

Assess business needs and lead the development of reliable and effective solutions, that are catered to specific business needs and easily maintainable

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

Design and develop high quality, scalable software modules for next generation analytics solution suite that serves advanced statistical models and tracks key metrics

Enhance and maintain model and data monitoring solutions that deliver automated insights to technical and non-technical audiences

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

Proactively accesses technical issues and risks that could impact speed, functionality, flexibility, or clarity

Use Enterprise GitHub for version control, documentation, code collaboration, and technical project management

Qualification

Data EngineeringSQLPythonCloud Data SolutionsMachine LearningETLGitLinuxCuriosityCommunication

Required

4+ years of programming experience in a business setting

Experience in managing Data Engineers OR leading Engineering project teams within an Analytics context and in an agile environment

Interest in deeply learning & understanding the Insurance Business and Actuarial role

Proficiency in SQL and at least one additional functional or object-oriented programming language such as R or Python

Experience with data or process management solutions in the cloud, including data pipelines, automation, and containerized compute

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 with Git in a collaborative business setting

Proficiency in Linux-based file management

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

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

Curious and passionate for R&D and innovation