Data Engineer

Job Summary State Farm is a Fortune 50 company known for its commitment to helping people and investing in communities. The Data Engineer will work closely with predictive modeling teams, life actuaries, and business experts to develop data products that support stakeholders while ensuring compliance with data management policies. Responsibilities Work closely with predictive modeling teams, 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. Prepare and manipulate data for use in development of data analytics solutions. Provide 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. Conform 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. Qualifications Required: Minimum of 2+ years of work experience as a data engineer in a business environment. 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 open‑source database such as PostgreSQL or MySQL. Experience with gathering and creating analytic business requirements, researching potential data sources (both internal and external), 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: Experience working with Life/Health Insurance data. Experience with the Model Building Lifecycle. Experience using deployment automation technologies, preferably Terraform. AWS certification, a plus. Applicants must be eligible to lawfully work in the U.S. immediately; the employer will not sponsor applicants for U.S. work authorization (e.g., H‑1B visa) for this opportunity. #J-18808-Ljbffr