Data Engineer I

 

Description:

This role is responsible for driving multiple complex tracks of work to deliver Big Data solutions enabling advanced data science and analytics. This includes working with the team on new Big Data systems for analyzing data; the coding & development of advanced analytics solutions to make/optimize business decisions and processes; integrating new tools to improve descriptive, predictive, and prescriptive analytics; and discovery of new technical challenges that can be solved with existing and emerging Big Data hardware and software solutions. This role contributes to the structured and unstructured Big Data / Data Science tools of Allstate from traditional to emerging analytics technologies and methods. The role is responsible for assisting in the selection and development of other team members.
 

  • *This is a Data Engineer role that will be responsible for data management, data acquisition, ETL, data pipelines, feature engineering, model deployment, report development, and process automation in support of Claims Operations. This role works closely with business stakeholders and staff data scientists to manage critical data sources, analytics workflows, and technology platforms as strategic corporate assets for the National General Insurance business.**JOB SUMMARY This role is responsible for driving multiple complex tracks of work to deliver Big Data solutions enabling advanced data science and analytics. This includes working with the team on new Big Data systems for analyzing data; the coding & development of advanced analytics solutions to make/optimize business decisions and processes; integrating new tools to improve descriptive, predictive, and prescriptive analytics; and discovery of new technical challenges that can be solved with existing and emerging Big Data hardware and software solutions. This role contributes to the structured and unstructured Big Data / Data Science tools of Allstate from traditional to emerging analytics technologies and methods. The role is responsible for assisting in the selection and development of other team members. KEY RESPONSIBILITIES Partners with Allstate Technology teams on Big Data efforts Partners closely with team members on Big Data solutions for our data science community and analytic users Leverages and uses Big Data best practices / lessons learned to develop technical solutions used for descriptive analytics, ETL, predictive modeling, and prescriptive real time decisions analytics Influence within the team on the effectiveness of Big Data systems to solve their business problems. Participates in the development of complex technical solutions using Big Data techniques in data & analytics processes Supports Innovation; regularly provides new ideas to help people, process, and technology that interact with analytic ecosystem Participates in the development of complex prototypes and department applications that integrate Big Data and advanced analytics to make business decisions Uses new areas of Big Data technologies, (ingestion, processing, distribution) and research delivery methods that can solve business problems SUPERVISORY RESPONSIBILITIES This job does not have supervisory duties. EDUCATION AND EXPERIENCE Masters Degree (Preferred) 3 or more years of experience (Preferred) In lieu of the above education requirements, an equivalent combination of education and experience may be considered. CERTIFICATIONS, LICENSES, REGISTRATIONS No Certification, License or Registration is required for the job. FUNCTIONAL SKILLS Experience in using software development to drive data science & analytic efforts Experience with database & ETL technologies Experience with various data types (e.g. Relational, Unstructured, Hierarchical, and Linked Graph Data) Experience in developing, managing, and manipulating large, complex datasets Experience in working with statistical software such as SAS, SPSS, MatLab, R, CART, etc. The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.

Organization National General
Industry IT / Telecom / Software Jobs
Occupational Category Data Engineer I
Job Location New York,USA
Shift Type Morning
Job Type Full Time
Gender No Preference
Career Level Experienced Professional
Experience 3 Years
Posted at 2024-06-26 11:48 am
Expires on 2024-12-27