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Data Engineer

Posted Date:  Sep 22, 2022
Requisition Number:  115261

Job Title:            Data Engineer  


Job Location:     Hershey, PA 




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, data architects, and project managers to ensure engineering standards adhere to company best practice and help to deliver rapid impactful benefits.


The Data Engineering will act as a trusted advisor for Hershey business partners by ensuring that data solutions meet expectations and requirements. You will work with a diverse team of business analysts, data scientists, technical engineers, data architects, and project managers to deliver outcomes aligned with our business partner’s strategy. In addition, you will work directly with the 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


Data 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, develop and maintains 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
  • Works within a modern data engineering model that follows Dev/Ops principles and standards for continuous integration/ continuous delivery (CI/CD) processes
  • Ensures reliability in data and data pipelines, enforcing governance, security, and performance
  • Develops and deploys best in class key performance indicators to measure the performance and quality of the data engineering teams and processes 


Minimum knowledge, skills and abilities required to successfully perform major duties/responsibilities: 


  • Experience designing, implementing large scale data pipelines for data curation, feature engineering and machine learning across multiple environments
  • Working knowledge of agile frameworks
  • Ability to manage multiple priorities, meet deadlines and produce quality results under pressure
  • 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: 




  • Bachelor’s in a STEM degree
  • Master’s degree and/or related equivalent experience preferred




  • 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
  • 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 SQL, Python, Scala and Spark languages to explore, interact and build solutions
  • 2+ years if experience Azure Data Factory, Azure DevOps, and pycharm
  • 2+ years of experience with public and private cloud solutions
  • Advanced working knowledge and experience with relational/non-relational databases e.g., Teradata, Snowflake, Databricks, Azure Data solutions or Hadoop
  • Experience working with machine learning and data science teams
  • Experience building data visualizations or analytics e.g., Power BI, Tableau, SSRS, SAP
  • 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
  • Experience with COBIT/SOX, as well as PII data in accordance with relevant laws



Nearest Major Market: Harrisburg

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