Lead Data Engineer - Life

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 , and of joining the State Farm team!

Locations: Bloomington, IL | Richardson, TX | Tempe, AZ | Dunwoody, GA

Work Arrangement: Hybrid - 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.

The Life/Health Data team is developing innovative data products using emerging AWS technologies and capabilities. Working in the Life/Health business department on the data team, you'll play an integral role working directly with business and technical partners to make decisions and drive pace. Your work is essential for transitioning data to Cloud-based technology, investigating new and innovative services, and building creative data solutions.

As a member of the Life/Health Data Engineering team you will be challenged and empowered to grow professionally. We are dedicated to helping each of our associates develop to their full potential as we are considering various levels of work experience. We appreciate your interest in this role.

As a Data Engineer you will:

• Work closely with predictive modeling team, life actuaries and business experts to develop data products to support business line stakeholders
• Develop, test, implement, execute, validate, and monitor logic to build and maintain data products
• Prepares and manipulates data for use in development of data analytics solutions
• Provides data pipeline solutions for the development, implementation, containerization, execution, validation, monitoring, and improvement of data analytics solutions
• Demonstrate advanced understanding in data engineering practices, including ETL (Extract, Transform, Load), data integration, reusable data pipelines, data management, data analytics, data visualization, and data science
• Conformance with State Farm data management and governance policies
• Establish business domain knowledge for State Farm 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 data solutions

We are looking for Candidates who have:

Required Skills:

• Experience with developing solutions on AWS Cloud technologies and concepts (Glue, Lambda, Redshift, Athena, S3, EC2, Pyspark)
• Design, deploy and maintain AWS cloud infrastructure using Terraform
• Experience with version control (e.g., GitHub, GitLab)
• Hands on GitOps experience
• Experience in programming languages such as Python and SAS
• Experience with any opensource database such as PostgreSql, MySQL. Etc.
• Experience with gathering and creating analytic business requirements, researching potential data sources (both internal and external sources), designing, developing, and maintaining data assets
• Ability to learn and adopt new technologies and languages
• Bachelor's degree in Computer Science or a related field

Preferred Skills:

• Experience working with Life/Health Insurance data
• Experience with the Model Building Lifecycle
• Experience using deployment automation technologies, preferably Terraform

****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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