State Farm seeks a Lead Data Engineer in Bloomington, Illinois, to help migrate, build, and service Analytics environments with a focus on cloud-based environments and emerging technologies. Specific duties include applying skills, tools, security processes, applications, environments, and programming languages to complete complex assignments; applying advanced engineering practices to design data solutions using industry-adopted languages and frameworks; diagnosing and resolving complex problems; maintaining advanced understanding in software engineering topics including classes, functions, security, containers, version control, CI/CD, and unit tests; maintaining advanced understanding in programming and database and data storage functionality and applying that understanding to build reusable data solutions; maintaining advanced understanding in compute environments including Linux, public cloud, and containers; maintaining advanced understanding in data engineering topics including ETL, data integration, reusable data pipelines, data management, data analytics, data visualization, and data science; maintaining advanced business domain knowledge for data sources and applying that knowledge in recommendations, designs, and execution of data solutions; applying advanced understanding of data and technology trends and best practices to complete assignments and influence product solutions; applying advanced understanding of product design, data design and movement and testing to ensure quality outcomes; leveraging an understanding of State Farm's organizational structure to na
State Farm seeks a Lead Data Engineer in Bloomington, Illinois, to help migrate, build, and service Analytics environments with a focus on cloud-based environments and emerging technologies. Specific duties include applying skills, tools, security processes, applications, environments, and programming languages to complete complex assignments; applying advanced engineering practices to design data solutions using industry-adopted languages and frameworks; diagnosing and resolving complex problems; maintaining advanced understanding in software engineering topics including classes, functions, security, containers, version control, CI/CD, and unit tests; maintaining advanced understanding in programming and database and data storage functionality and applying that understanding to build reusable data solutions; maintaining advanced understanding in compute environments including Linux, public cloud, and containers; maintaining advanced understanding in data engineering topics including ETL, data integration, reusable data pipelines, data management, data analytics, data visualization, and data science; maintaining advanced business domain knowledge for data sources and applying that knowledge in recommendations, designs, and execution of data solutions; applying advanced understanding of data and technology trends and best practices to complete assignments and influence product solutions; applying advanced understanding of product design, data design and movement and testing to ensure quality outcomes; leveraging an understanding of State Farm's organizational structure to na
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