Data Analytics Engineer

Being good neighbors - helping people, investing in our communities, and making the world a better place - is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

Office Location(s): Bloomington, IL; Dunwoody, GA; Richardson, TX; Tempe, AZ

Hybrid Work Arrangement: In this position, you should plan to spend time working in the office a minimum of 1 day per week. Associates are expected to be able to travel to and from your assigned office location as part of a hybrid work arrangement. Work arrangements could change over time based on business need.

*****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*****

The position would serve in a leadership capacity as a partial Product Owner and partial Data Analytics Engineer. 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:

• Serve in leadership capacity on, leading team agile ceremonies.
• Possess a strong engineering background with a keen interest in data.
• Organize and prioritize backlog.
• Hands-on experience with AWS, demonstrating proficiency in leveraging its services.
• Coach team to perform at higher level.
• 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:

• Familiarity with agile methodologies.
• 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*****

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