Data Engineer - Analytics - State Farm

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****

P&C Actuarial and Underwriting Modeling is at the forefront of developing cutting-edge predictive models by harnessing emerging technologies and capabilities. Our focus is on creating innovative solutions that leverage the power of data. We are actively building robust data capabilities to empower our machine learning teams in constructing high-quality and efficient datasets. This enables us to accelerate the delivery of predictive models to the market.

Your contributions to our team are invaluable as we strive to enable data-driven decision-making in the cloud. You will play a crucial role in exploring new and groundbreaking services, as well as devising creative solutions. Our aim is to establish a single, seamless data retrieval ML platform, providing a streamlined experience for our data scientists.

As a member of P&C Actuarial and Underwriting Modeling, you will find yourself continually challenged and empowered to grow professionally. We strongly believe in fostering the development of each engineer to their fullest potential. Our supportive environment and focus on personal growth will enable you to excel in your role and make a significant impact on our team's success.

Required Skills:

• Possess a strong engineering background with a keen interest in data.
• Hands-on experience with AWS, demonstrating proficiency in leveraging its services.
• Proficiency in object-oriented and/or functional programming languages such as Python, Java/Scala, and Terraform.
• Experience working with big data technologies such as Spark and Hadoop.
• Familiarity with various file formats, including csv, parquet, json, xml, and avro.
• Understanding of testing strategies and frameworks.
• Hands-on experience building CI/CD pipelines, preferably with GitLab.

Preferred Skills:

• Understanding of machine learning lifecycle, and including the role of data at each stage.
• Experience working with AWS SageMaker, Glue, EMR, Athena, RDS, Redshift, Lambdas, and IAM.
• Prior exposure to property & casualty insurance data, providing you with domain knowledge.

*****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****