Job Description
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.
This role will be part of the Actuarial Technology and Innovation Team, a dedicated hybrid actuarial/data science team utilizing statistical modeling, machine learning, and advanced data engineering techniques to enhance or overhaul core Actuarial processes. Our team is a cross-functional team of data scientists, data engineers, and actuaries working in a highly collaborative development environment which involves heavy interaction with and training of partner-customers in Actuarial. We are seeking candidates with a strong foundation in data management, software engineering and process automation who have a drive for finding efficient solutions to maximize business value.
As a Data Engineer, you will be a key contributor to our team by working with our data scientists and actuaries to design, develop, and implement enhancements to our Commercial Lines pricing model monitoring platform. Our monitoring platform is due for a full rebuild and this role will be critical in the success of this high impact, high visibility effort. Our team culture prioritizes flexibility and tailored solutions, so an aptitude and desire to research state-of-the-industry solutions is a must, along with an aptitude to learn new tools and languages as necessary. You will need to use creative, outside-the-box thinking to solve problems in a complex business environment while still executing your solutions with logical and structured code that meets our production standards.
Responsibilities:
Minimum Requirements:
Nice to Have:
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:
$68,160 - $135,480
Benefits
Our company's success is due to our employees' dedication and passion for their work. They are our greatest asset. That's why we are committed to offering employees and their families a comprehensive benefits package and award-winning well-being programs. By helping our employees achieve their full potential, we unlock our own. Visit https://www.thehartford.com/careers/benefits for details.
Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
Data Engineer - GE08AE
Skills:
This role will be part of the Actuarial Technology and Innovation Team, a dedicated hybrid actuarial/data science team utilizing statistical modeling, machine learning, and advanced data engineering techniques to enhance or overhaul core Actuarial processes. Our team is a cross-functional team of data scientists, data engineers, and actuaries working in a highly collaborative development environment which involves heavy interaction with and training of partner-customers in Actuarial. We are seeking candidates with a strong foundation in data management, software engineering and process automation who have a drive for finding efficient solutions to maximize business value.
As a Data Engineer, you will be a key contributor to our team by working with our data scientists and actuaries to design, develop, and implement enhancements to our Commercial Lines pricing model monitoring platform. Our monitoring platform is due for a full rebuild and this role will be critical in the success of this high impact, high visibility effort. Our team culture prioritizes flexibility and tailored solutions, so an aptitude and desire to research state-of-the-industry solutions is a must, along with an aptitude to learn new tools and languages as necessary. You will need to use creative, outside-the-box thinking to solve problems in a complex business environment while still executing your solutions with logical and structured code that meets our production standards.
Responsibilities:
- Coordinate with development team and Pricing team partners to deliver just-in-time enhancements to a suite of production-grade analytical applications and data processes.
- Build automated data pipelines with MLflow that serve advanced statistical models and track key metrics.
- Prototype high impact innovations that advance the Data Engineering capabilities of the Actuarial department, by leveraging new technologies (AWS, Containers and Big Data).
- Leverage a full Posit (Rstudio) Enterprise stack to build and deploy R/Python applications and APIs.
- Develop novel solutions to replace or optimize legacy (SQL/Autosys) data processes.
- Guide less experienced developers on solution implementation and best practices through documentation and hands on instruction.
- Use Enterprise GitHub for version control, documentation, code collaboration, and technical project management.
- Support Actuarial Technology Training and Data Engineering community enhancements as needed / desired.
- Proactively accesses technical issues and risks that could impact speed, functionality, flexibility, or clarity.
- Manage data and project work in a Linux-based filesystem.
Minimum Requirements:
- Must be authorized to work in the US, now and in the future.
- 2+ years programming experience with R or Python in a business setting. R very strongly preferred.
- Demonstrated history of manipulating and extracting value from various data structures and databases.
- 2+ years using SQL in a business environment.
- Ability to articulate and train technical concepts regarding data management to analytical and non-technical partners.
Nice to Have:
- Experience using GitHub for version control strongly preferred.
- Experience with the Hadoop ecosystem (HDFS, Spark, and/or HIVE) preferred, especially with Amazon EMR.
- Experience with Insurance data, especially with Pricing data processes, is a strong plus.
- Experience building orchestration pipelines, especially in Airflow, is a strong plus.
- Experience with containers (Docker or Kubernetes) is a plus.
- Any AWS Cloud certification is a plus.
- Experience with Linux-based file management desired.
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:
$68,160 - $135,480
Benefits
Our company's success is due to our employees' dedication and passion for their work. They are our greatest asset. That's why we are committed to offering employees and their families a comprehensive benefits package and award-winning well-being programs. By helping our employees achieve their full potential, we unlock our own. Visit https://www.thehartford.com/careers/benefits for details.
Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
Data Engineer - GE08AE
Skills:
Date Posted
08/14/2022
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