Salesforce Developer

Metadata Management Time Off Management Software Development Programming Languages Business Requirements Cloud-Native Computing Architectural Patterns Distributed Data Store Artificial Intelligence C (Programming Language) C# (Programming Language) SQL (Programming Language) C++ (Programming Language) Product Family Engineering Java (Programming Language) Extract Transform Load (ETL) Python (Programming Language) Design Elements And Principles JavaScript (Programming Language) Application Programming Interface (API), The Staff Data Engineer, Data Products, plays a critical role in designing, building, and operating enterprise-grade data products that power analytics, reporting, and AI across Hershey’s business domains.

In this role, you will help advance Hershey’s enterprise data strategy by developing scalable, governed, and reusable data products that serve as trusted systems of record for analytics and future AI innovation. Working closely with Data Product Managers, Architects, Domain SMEs, and Platform Engineering teams, you will transform business requirements into modern cloud-native data solutions that drive efficiency, consistency, and enterprise-wide decision-making.

What will you do?

• Design, build, and maintain scalable data pipelines and transformations using Azure, Databricks, and modern data engineering frameworks.
• Partner with business stakeholders to translate requirements into technical designs, solutions, and acceptance criteria.
• Develop and optimize physical and semantic data models supporting analytics, reporting, and AI/ML use cases.
• Implement ingestion frameworks, reusable engineering patterns, and data workflows aligned with enterprise standards.
• Apply best practices for performance, scalability, cost optimization, security, and reliability.
• Support modern architectural patterns including Delta Lake, medallion architecture, orchestration frameworks, and cloud-native services.
• Embed governance-by-design principles, including data lineage, metadata management, documentation, certification, and monitoring.
• Implement automated data quality checks and controls to ensure trusted, accurate, and complete data products.
• Collaborate with business domain teams, platform engineering, and data operations partners to ensure successful delivery, adoption, and ongoing optimization of enterprise data products., MySQL MongoDB DataOps Automation Governance Databricks PostgreSQL Scalability Data Quality Data Science Data Lineage Communication Data Modeling Collaboration Mental Health Data Strategy AI Innovation Data Pipelines Version Control Microsoft Azure Data Governance Trusted Systems Computer Science Azure Databricks Machine Learning Data Engineering Value Propositions Rancher (Software) Workflow Management Amazon Web Services Information Systems Metadata Management Time Off Management Software Development Programming Languages Business Requirements Cloud-Native Computing Architectural Patterns Distributed Data Store Artificial Intelligence C (Programming Language) C# (Programming Language) SQL (Programming Language) C++ (Programming Language) Product Family Engineering Java (Programming Language) Extract Transform Load (ETL) Python (Programming Language) Design Elements And Principles JavaScript (Programming Language) Application Programming Interface (API) +0

Google Project Management

Salesforce Developer Staff Data Engineer Hershey Co.

Dallas, TX*On-Site

CI/CD DevOps Github MLflow Tooling Xgboost Grafana Auditing Templates Terraform Pipelines Scheduling Operations Management Automation Mentorship Governance Kubernetes Databricks Forecasting Testability Autoscaling Supply Chain Data Science Azure DevOps Communication Observability Azure Monitor Responsible AI Microsoft Azure Experimentation Computer Vision Computer Science Machine Learning Containerization Data Engineering Docker (Software) Azure Data Factory Demand Forecasting Technical Standard Consumer Analytics Workflow Management Production Planning Software Versioning Lifecycle Management Packaging And Labeling Software Documentation Azure Machine Learning Artificial Intelligence Concept Drift Detection Self Service Technologies SQL (Programming Language) Product Family Engineering Machine Learning Frameworks Infrastructure as Code (IaC) Python (Programming Language) Scikit-Learn (Python Package) PyTorch (Machine Learning Library) MLOps (Machine Learning Operations) Application Programming Interface (API) Machine Learning Model Monitoring And Evaluation +0

Salesforce Developer VP, Head of BOE Data Engineering CBRE

Richardson, TX*On-Site

Sales CI/CD Coaching Budgeting Operations Automation Governance Accounting Scalability Outsourcing Real Estate Communication Data Pipelines Solution Design Team Management Digital Systems Data Integration Safety Assurance Machine Learning Data Engineering Agile Methodology Data Intelligence Platform Agnostic Client Onboarding Product Management Financial Controls Product Engineering Property Management Software Engineering Request For Proposal Technical Management Performance Management Operational Excellence Artificial Intelligence Persuasive Communication Multi-Tenant Cloud Environments Key Performance Indicators (KPIs) Generative Artificial Intelligence +0

Google IT Automation with Python

MongoDB DataOps Automation Governance Databricks PostgreSQL Scalability Data Quality Data Science Data Lineage Communication Data Modeling Collaboration Mental Health Data Strategy AI Innovation Data Pipelines Version Control Microsoft Azure Data Governance Trusted Systems Computer Science Azure Databricks Machine Learning Data Engineering Value Propositions Rancher (Software) Workflow Management Amazon Web Services, * 5+ years of experience in data engineering, analytics, data platforms, or related technical roles.

• Hands-on experience with ETL/ELT development, distributed data processing, and enterprise-scale data pipelines.
• Experience with Databricks and cloud platforms such as Azure (preferred) or AWS.
• Strong proficiency in Python, SQL, APIs, source control, automation, and modern software development practices.
• Experience designing dimensional and semantic data models for analytics and reporting.
• Familiarity with data governance, metadata management, lineage, data quality, and cataloging frameworks.
• Strong collaboration and communication skills with the ability to translate complex business requirements into technical solutions., * Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Information Systems, or a related field.
• Experience with one or more programming languages such as Python, Java, C#, JavaScript, or C/C++.
• Working knowledge of SQL and NoSQL technologies such as PostgreSQL, MySQL, or MongoDB.

At Hershey, we offer competitive pay and a comprehensive total rewards package designed to support your wellbeing, financial security, and life outside of work.

• Health & Wellbeing: Medical, dental, and vision coverage, plus wellness programs that support your physical and mental health.
• Financial Security: Competitive pay, annual incentive opportunities, and a 401(k) with company match.
• Time Off & Flexibility: Paid time off, company holidays, and flexible ways of working where applicable.
• Growth & Development: Career development programs, learning opportunities, and internal mobility.

At The Hershey Company, our culture is rooted in purpose and inspired by Milton Hershey’s enduring vision that business should create opportunity for others. Through our commitment to corporate philanthropy, we create positive impact by supporting communities, helping children thrive, and operating as a business for good. This includes our deep and long standing partnership with Milton Hershey School, where we invest in education, workforce readiness, and hands on engagement to help students succeed beyond the classroom. Supported by strategic grantmaking, product donations, cross brand collaboration, and strong employee volunteerism, Hershey offers a place to work where making a difference-locally and globally-is part of how we do business every day. About The Hershey Company The Hershey Company is an industry-leading snacks company known for making more moments of goodness through its iconic brands. With a strong portfolio across chocolate, confectionery, and salty snacks, Hershey delights consumers every day. Our beloved brands include Hershey’s, Reese’s, KitKat®, Dots Pretzels, Lesser Evil, Jolly Rancher, Twizzlers, Ice Breakers, and more.

At Hershey, we are committed to making a meaningful difference in the communities where we live, work, and do business. This commitment originated with our founder, Milton Hershey, and continues to shape who we are today.

Guided by our employee value proposition, Lead Today. Create Tomorrow, we empower our people to drive impact now while shaping what comes next. Our One Hershey mindset brings teams together across functions, geographies, and businesses, enabling us to operate with speed, collaboration, and shared purpose.

The Hershey Company is proud to be recognized as a top employer in the United States, reflecting our commitment to our people, culture, and purpose.