Lead Data Engineer

3 days ago


Bloomington Illinois, United States State Farm Full time
About the Role

We are seeking a highly skilled Lead Data Engineer to join our Life/Health Data team at State Farm. As a key member of our team, you will play a critical role in developing innovative data products using emerging AWS technologies and capabilities.

Key Responsibilities
  • Work closely with predictive modeling teams, life actuaries, and business experts to develop data products that support business line stakeholders.
  • Design, 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, data integration, reusable data pipelines, data management, data analytics, data visualization, and data science.
  • Conform to 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.
Requirements
  • Experience with developing solutions on AWS Cloud technologies and concepts (Glue, Lambda, Redshift, Postgres, 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, MySQL.
  • 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.

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