• This role is for one of the Weekday's clients • We are seeking an experienced and visionary Director – Data Engineering to lead and scale our data engineering function. • You will play a critical role in building robust, scalable, and efficient data platforms that power analytics, machine learning, and business intelligence across the organization.

Job Location: Remote This position can be Remote based in US, Dallas,TX in our Frisco office or at 19E in Hershey, PA Summary: The Data Engineer, Data Products supports the design, build, and operation of data pipelines and models that power Hershey’s enterprise data products. Working within established architectures and with guidance from Senior Data Engineers and Architects, this role develops reliable, scalable data transformations that enable analytics, reporting, and AI across Hershey’s business domains. Data Engineers collaborate closely with Senior Data Engineers, Architects, Platform Engineering, and domain teams to translate defined business requirements into high quality technical solutions using modern cloud-native tools such as Azure and Databricks. They contribute to key stages of the data product lifecycle, including ingestion, transformation, modeling, documentation, and operational support. By helping build reusable and well engineered data assets, the Data Engineer strengthens Hershey’s broader data strategy—improving data quality, consistency, and accessibility while supporting the development of trusted, long-term data products. What We Are Building for Hershey This role contributes to Hershey’s enterprise data strategy by engineering reusable, governed data assets that scale across domains and reduce duplication. By applying engineering discipline and governance-by-design, Data Engineers help evolve one-off solutions into durable, production-grade data products that improve trust and speed of decision-making. Major Duties & Responsibilities Data Product Engineering & Delivery: • Build and maintain scalable data ingestion and transformation pipelines on Azure and Databricks; develop curated/semantic models for analytics and AI. • Translate requirements into technical designs and acceptance criteria with Product Managers. Technical & Architectural Implementation • Apply best practices for performance, cost, security, and reliability; follow enterprise standards and shared infrastructure. • Implement efficient patterns such as Delta Lake, medallion architecture, and orchestration frameworks. Governance, Quality & Operations • Embed governance-by-design including metadata, lineage, documentation, certification, and automated data quality checks. • Operate and troubleshoot production pipelines; contribute improvements to standards and automation. Collaboration Across Domains • Partner with domain teams to validate definitions and ensure products meet business needs. • Work with Platform Engineering on pipeline frameworks and optimization; coordinate with Data Ops & Enablement on documentation and certification. Minimum Knowledge, Skills, and Abilities • Data Engineering & Pipelines: ETL/ELT development, distributed processing, and workflow optimization. • Cloud & Platforms: Hands-on with Databricks and Azure (preferred) or AWS data platforms. • Programming & Development: Proficient in Python and SQL; experience with modular coding, APIs, automation, and source control. • Data Modeling & Quality: Dimensional/semantic modeling; familiarity with data quality, metadata, lineage, and catalog tools. • Collaboration & Communication: Ability to translate business needs into technical solutions and communicate effectively across teams. Experience & Education • Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related field • 2–5 years in data engineering or analytics engineering roles. • Experience building pipelines and models in Azure/Databricks or equivalent AWS tooling. • Working knowledge of SQL and NoSQL data stores (PostgreSQL, MySQL, MongoDB). #LI-AM1 #LI-Remote The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws. The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans. You may request a reasonable accommodation if you are unable or limited in your ability to use or access our online application process as a result of a disability. You can request an accommodation via phone or email. To request an accommodation via phone, please call +1 877-804-1794 and leave a voicemail with your contact information. You may also email a request for accommodation to ApplicationHelp@hersheys.com. Please be sure to include “Accommodation Needed” in the subject line. This will ensure that your email is routed to the appropriate contact who will handle your request.

• Define and drive the technical vision, architecture, and best practices for new and existing products. • Lead design discussions, code reviews, and ensure high standards for code quality, performance, and security. • Collaborate with product managers, designers, and stakeholders to translate requirements into scalable technical solutions. • Plan, prioritize, and delegate tasks to ensure timely and high-quality project delivery. • Mentor and support engineers, fostering a culture of knowledge sharing, growth, and continuous improvement. • Ensure solutions are robust, scalable, and compliant with healthcare industry standards (e.g., HIPAA). • Identify and address technical risks, bottlenecks, and opportunities for process improvement. • Stay current on emerging technologies and advocate for their adoption where appropriate. • Communicate complex technical concepts clearly to both technical and non-technical audiences. • Foster a collaborative, innovative, and inclusive team environment.

• Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources. • Leading the way in data transformation by setting up best practices in areas like Data modelling, performance optimisation, Data Governance etc, ensuring that the data used within Prima is consistent, available and reliable. • Build reusable technology that enables teams to ingest, store, transform, and serve their own data products. • Engaging with data scientists and machine learning engineers to explore the product landscape and refine data requirements for enhanced data infrastructure. • Embrace continuous learning and experimentation to stay updated on emerging technologies, from testing open source tools to engaging in community-building activities like Meetups. Your passion for staying at the forefront of the field will drive your journey.