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Data Analytics Engineer

State Farm
Richardson, TX Full Time
POSTED ON 8/17/2024 CLOSED ON 9/16/2024

What are the responsibilities and job description for the Data Analytics Engineer position at State Farm?

Overview

We are not just offering a job but a meaningful career! Come join our passionate team!

As a Fortune 50 company, we hire the best employees to serve our customers, making us a leader in the insurance and financial services industry. State Farm embraces diversity and inclusion to ensure a workforce that is engaged, builds on the strengths and talents of all associates, and creates a Good Neighbor culture.

We offer competitive benefits and pay with the potential for an annual financial award based on both individual and enterprise performance. Our employees have an opportunity to participate in volunteer events within the community and engage in a learning culture. We offer programs to assist with tuition reimbursement, professional designations, employee development, wellness initiatives, and more!

Visit our Careers page for more information on our benefits, locations and the process of joining the State Farm team!

This is a "Hybrid" position, which means selected candidates will be assigned to a facility and will spend some time working both in office and from their home.

Office Locations:

  • Bloomington, Illinois; Dunwoody, Georgia; Richardson, Texas; Tempe Arizona
  • Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity****

Responsibilities

As a member of the P&C Actuarial and Underwriting Modeling Department you will be challenged and empowered to grow professionally. We are dedicated to helping each of our associates develop to their full potential. We appreciate your interest in this role.

Currently hiring for multiple openings. Team placement will be aligned based on candidate’s individual expertise.

As a Data Engineer you will:

  • Work closely with data scientists and business experts to develop modeling solutions for actuarial and underwriting business problems
  • Building and maintaining data pipelines for the development, implementation, execution, validation, monitoring, and improvement of data science solutions
  • Establish business domain knowledge for State Farm data sources
  • Investigate, recommend, and initiate acquisition of new data resources from internal and external data sources
  • Identify critical and emerging technologies, techniques, tools, data sources, and platforms in the data engineering field, including cloud-based solutions, that support and extend quantitative analytic deployment solutions

Qualifications

Success in this job requires:

  • Up-to-date expertise in data engineering practices. Ability to provide solutions for the identification, acquisition, cleansing, profiling, and ETL (extracting, transformation, and loading) of data used in data science discovery and deployment solutions
  • Conformance with State Farm data management and governance policies
  • An understanding of the basics of predictive analytics/statistical models/machine learning models
  • Developing and maintaining an effective network of both scientific and business contacts/knowledge
  • Strong business acumen and the technical ability to acquire, transform and interpret complex data
  • Excellent communication skills and the ability to work with multiple, diverse stakeholders across business areas and leadership levels
  • Willingness to learn and adapt in agile development environment
  • Ability to learn and share new technical concepts quickly

Preferred Skills And Work Experiences

  • A minimum of 3 years’ relevant work experience
  • Bachelor’s Degree in Computer Science or a related field
  • AWS Certification(s)
  • Experience working with P&C data
  • Experience with version control (e.g., GitHub, GitLab)
  • Hands on GitOps experience
  • Familiarity with the Python programming language and Object Oriented Design
  • Experience working in AWS/Cloud Concepts, Hadoop, or LINUX
  • Experience with gathering and creating analytic business requirements, researching potential data sources (both internal and external sources), designing, developing and maintaining data assets
  • Familiarity with building SQL and No-SQL queries
  • Knowledge of version control and DevOps tools such as GitLab

Competencies:

  • Technical/Functional Expertise
  • Critical Thinking
  • Teamwork
  • Adaptability
  • Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity****
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