Manager Data Engineering

The Hartford is seeking a Data Engineering Manager to lead a team of Data Engineers 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.  
** Responsibilities:
** Learn and coach Machine Learning and MLOps, Engineering, and Insurance Business concepts & terminology, applying that knowledge for the best fit-to-purpose solution. 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 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

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
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* Minimum Qualifications:

*** 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
** Preferred

Skills and Experience:

*** Bachelor’s or Master's degree in related discipline or 5+ years of equivalent experience in relevant engineering roles

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

Experience with Insurance data, especially with Actuarial data processes, is preferred  

Experience with R AND Python is preferred Proficiency in Automation tools (Airflow, Cron, Autosys, etc.) is a plus

Experience with Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift) is a plus Experience building CICD pipelines or IAC (Infrastructure as Code) desired
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