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Job Details

The Hershey Company

Data Engineer



Full Time

On Site


Hershey, Pennsylvania, United States

Job Title: Data Engineer Job Location: Hershey, PA This position can be 100% remote. Summary: The Enterprise Data organization drives value for Hershey by providing high-quality, well governed data to the Enterprise for analytics and decision-making. The Data Engineer will be part of an agile execution team, working with Hershey business partners, data scientists, technical engineers, and project managers to deliver data engineering solutions that adhere to standards and company best practice to help to deliver rapid impactful benefits. You will work with a diverse team of business analysts and leaders within the Walmart data assets to ensure data solutions meet expectations and requirements. The Data Engineer will build an understanding of retail data and its value to the business. In addition, you will work directly with the Sr. Manager of Data Engineering to ensure consistency and compliance of deliverables to frameworks and governance processes. Major Duties/Responsibilities: Data Engineering Solution Delivery: Develop and deliver high-quality data pipelines adhering to best practice, privacy, and governance principles Engineering Maintenance/Optimization: Work existing data pipelines and solutions to enhance its performance, quality and/or functionality. Resolve incidents escalated by support teams or business users Data Engineering Domain: Collaborate with IT and business partners to define, manage and deliver innovative Data solutions to drive growth and adoption of capabilities at Hershey   Specific Job Responsibilities: Executes the strategy to deliver cloud-based intelligent systems to collect, distribute, model, and analyze disparate and diverse data assets to automate insights and drive business performance Using best practice frameworks and governance, evaluate, design, and analyze solution engineering for agile delivery Create and develop robust and secure ETL pipelines across a broad range of data-focused products, services, projects, and systems Using best practice guidance from Enterprise Data leadership, oversee the health and evolution of agile execution team engineering technologies Partner to deliver a modern data engineering model that follows Dev/Ops principles and standards for continuous integration/ continuous delivery (CI/CD) processes Ensure reliability in data and data pipelines, enforcing governance, security, and performance Collaborate in developing best in class key performance indicators to measure the performance and quality of the data engineering teams and processes Able to articulate the holistic benefits of data engineering from a business perspective, while maintaining the relationship with business analysts, data scientists, technical engineers, and project managers Minimum knowledge, skills and abilities required to successfully perform major duties/responsibilities: Experience designing, implementing data pipelines for data curation and feature engineering across multiple environments Working knowledge of agile frameworks Ability to manage multiple priorities, meet deadlines and produce quality with other team members Strong problem solving and analytical skills Strong team player, change agent, and advocate Excellent customer service skills High energy self-starter Excellent verbal and written communication skills Minimum Education and Experience Requirements: Education: Bachelor’s in a STEM degree Experience: 1-3+ years of progressive experience working with data, much of which has been focused on working with cross-functional teams and enterprise-wide data management programs 3+ years of experience with SQL or Python languages 2+ years of experience in building data solutions within an enterprise environment using industry standard guiding principles and practices 2+ years of leveraging data integration tools to build data pipelines e.g., Informatica, Talend, Matillion 2+ years of experience with public and private cloud solutions 2+ years of working knowledge with relational/non-relational databases e.g., Teradata, Snowflake, Databricks, Azure Data solutions or Hadoop Familiar with data visualizations or analytics e.g., Power BI, Tableau Experience working in a high performing agile delivery model, aligning with Scrum Masters, Product Owners, and other execution team members to deliver rapid and impactful solutions that align to business partner strategy Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners #LI-CW1