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!
Responsibilities
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
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
Qualifications
We are looking for Candidates who have:
A minimum of 3 years' relevant work experience
Bachelor's Degree in Computer Science or a related field
AWS Certification(s)
Hands on experience working in AWS/Cloud Concepts
Experience working with P&C data
Experience with version control (e.g., GitHub, GitLab)
Hands on GitOps experience
Familiarity with one of the following programming languages: SAS, Python, R
Experience working in 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
Linux Based Containers/Dockers experience and knowledge
Knowledge of version control and DevOps tools such as GitLab
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
Office Location: Corporate office located in Bloomington, IL, OR State Farm Hubs: Richardson, TX; Dunwoody, GA; Phoenix AZ.