Data Engineer, Experienced

Role Overview

• Responsible for acquiring, curating, and publishing data both on prem and in the cloud for analytical or operational uses for basic to moderate scenarios.
• Ensures the data is in a ready-to-use form that creates a single version of the truth across all data consumers, including business/technology users, reporting and visualization specialists and data scientists with coaching and support.
• Utilizes skills to translate business analytic requests/requirements into design, development, testing, deployment, and production maintenance tasks.
• 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.
• 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.

Requirements

• 3-5 years of related experience required.
• Possesses strong technical aptitude.
• Intermediate experience in SQL, Spark (Scala or Python), Spark SQ or equivalent.
• Solid experience in dimensional modeling.
• Sound knowledge and experience building data pipelines to transform data as per business logic.
• Sound knowledge and understanding with pipeline orchestration.
• Intermediate to advanced experience with BI visualizations such as Power BI, Tableau etc.
• Strong verbal communication and listening skills.
• Proven experience interacting with executive and senior leadership stakeholders around the topics of data access, quality, appropriate use, metric definitions and standardization.

Tech Stack

• Cloud
• Python
• Scala
• Spark
• SQL
• Tableau

Benefits

• Bonus Opportunity (based on Company and Individual Performance)
• 401(k)
• Medical
• Dental
• Vision
• Health Savings and Flexible Spending Accounts
• Life Insurance
• Paid Time Off
• Paid Parental Leave
• Tuition Assistance