Senior Data Engineer - Remote

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.

The Hartford's Actuarial Information Services (AIS) team is seeking a Senior Data Engineer to support the data needs of the actuarial function. As a member of AIS this individual will provide data, consultation, and technical support to assist in developing and deploying various types of data solutions including creating analytical assets, performing data analysis, automating/streamlining existing data processes and reporting.

This position combines business and technical skills involving interaction with business customers, Actuarial, Data Science, Enterprise IT as well as internal team members.

• Support the build and maintenance of our new Actuarial Data Mart the enables advanced analytics and rate making activities
• Work closely with our Actuarial customers to understand their needs and recommend and execute on optimal solutions
• Identifying, developing and delivering the data preparation to utilize internal and external data
• Analyzing data sources for availability and quality
• Identifying areas of opportunity to improve or enhance existing data processes
• Put in practice well developed data analysis techniques with the ability to apply these practically and appropriately to help solve complex issues.
• Work closely with internal customers and peers throughout The Hartford in analyzing data sources, being a subject matter data expert, defining business requirements, providing data, and assisting in high level data analysis.
• Relate the data to the business processes that generates it and the communication skills to disseminate information regarding the availability, quality, and other characteristics of the data to a diverse audience.
• Perform data asset adoption activities, with internal and external customers, including presentations to all levels of management, training, use case development, and consulting activities.
• Translation of model output to production ready tables, factors, or objects.
• Act as a liaison and SME between business and IT resources.
• Perform cost benefit analyses of concepts and solutions to drive prioritization
• Effectively communicate project status to internal leadership as well as customers of all levels, across a variety of cross functional areas.
• Interact with other business intelligence/data management teams across the enterprise to share knowledge, driving continual improvement to our data structures, tools, process, and team.
• Coordinate with others across the Enterprise to identify alternate data sources and tools that may help bring valuable information to customers.

Qualifications

• 7 or more years of experience with as a Data Engineer with a Bachelor's Degree in one of the following: Computer Science, MIS, Economics, Statistics, Finance, or related field or comparable work experience.
• Knowledge of insurance actuarial lifecycle data sources and business processes
• Proficient in developing scalable applications in Oracle 12c/11g/10g using PL/SQL Stored Procedures, Functions, Packages, Triggers, Views, Materialized Views, and Indexes;
• Oracle Forms 10g/9i and Reports 10g/9i;
• Experience with AWS platform, Snowflake database, R, and Python
• Candidates must have the technical skills to transform, manipulate and store data, the analytical skills to relate the data to the business processes that generates it and the communication skills to disseminate information regarding the availability, quality, and other characteristics of the data to a diverse audience.
• Strong knowledge of data modeling, dimensional database structure and database design for operational as well as analytical systems.
• Experience accessing and retrieving structured and unstructured data from large data sources
• Ability to analyze source systems and provide business solutions
• Knowledge of version and revision control practices and procedures such as Github
• Self-starter with a willingness to become a data expert and to learn new skills
• Results oriented with the ability to multi-task and adjust priorities when necessary
• Ability to work independently or in a team environment with internal /external customers
• Ability to articulate and train technical concepts to a non-technical audience
• Insurance or Financial Services background a must
• Knowledge of Actuarial Lifecycle 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:

$108,480 - $162,720

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

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Sr Data Engineer - GE07BE

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