Data Engineer

Farmers Insurance is a company dedicated to making a real difference in people's lives. They are seeking a Data Engineer responsible for acquiring, curating, and publishing data for analytical or operational uses, ensuring data is ready-to-use for various consumers while collaborating with teams to translate business requirements into technical solutions.

Responsibilities:

• Consults on data projects of intermediate complexity, with limited coaching and guidance, to understand design requirement and existing business processes to lead in the design, development, and implementation of data products
• Practices code management and integration with current architectural and data governance guidelines with reduced oversight required of leadership
• Produces data building blocks, data models, and data flows for varying client requests such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research and exploration with limited assistance and coaching
• Creates business user access methods to structured and unstructured data
• Utilizes techniques such as mapping data to a common data model, natural language processing, transforming data as necessary to satisfy business rules, AI, statistical computations, and validation of data content
• Translates business data stories into a technical story breakdown structure and work estimates for a schedule or planned agile sprint
• Projects are of increasing complexity but require less coaching and assistance from leadership
• Develops and maintains moderately complex scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support increased demands of data volume and complexity
• Preps/cleanses data to optimize for downstream reporting via Farmers standard visualization or AI/ML tools with coaching and feedback
• Applies sound knowledge of data governance concepts with limited experience in application
• Executes on mid size projects and large tasks within timelines
• Develops data project plans and executes with some supervision
• Performs other duties as assigned

Requirements:

• 3-5 years of related experience required
• High School Diploma or equivalent required
• Possesses strong technical aptitude
• Advanced experience in SQL, and SQL Server Integration Services (SSIS)
• Advanced experience in Dimensional modeling
• Advanced Experience building data pipelines to transform data as per business logic
• Advanced knowledge and understanding with pipeline orchestration
• Advanced understanding of cloud computing environments
• Strong verbal communication and listening skills
• Understanding of basic AI/ML concepts
• Proficiency in Python or R, and knowledge of popular AI/ML libraries
• Knowledge of MLOps tools and practices
• Understanding of responsible AI principles and data privacy requirements
• Demonstrated experience interacting with executive and senior leadership stakeholders around the topics of data access, quality, appropriate use, metric definitions and standardization
• Bachelor's degree preferred