The Hershey Company

Senior Data Engineer, Data Products

The Hershey Company

full-time

Posted on:

Location Type: Hybrid

Location: Dallas • Texas • United States

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Job Level

Senior

Tech Stack

AzureJavaJavaScriptMongoDBMySQLNoSQLPostgresPythonSQL

About the role

  • Partner with business stakeholders to translate business requirements into technical designs and acceptance criteria.
  • Design, build, and maintain scalable and reusable data pipelines and transformations using Azure and Databricks.
  • Implement robust ingestion frameworks, standardized patterns, and repeatable workflows aligned to enterprise engineering practices.
  • Build and optimize physical and semantic data models supporting analytics, reporting, and AI/ML use cases.
  • Apply best practices related to performance tuning, cost optimization, security, and reliability.
  • Ensure alignment with enterprise architecture, including shared infrastructure, canonical models, and platform standards.
  • Implement efficient data processing patterns (e.g., Delta Lake, medallion architecture, orchestration frameworks).
  • Embed governance-by-design principles including lineage, metadata, documentation, and certification standards.
  • Implement data quality rules, monitoring, and automated checks to ensure accuracy, completeness, and trust.
  • Work closely with business domain teams to validate that data products meet end-user needs and match business definitions.
  • Partner with Platform Engineering on pipeline frameworks, infrastructure patterns, and optimization.
  • Collaborate with Data Operations & Enablement to ensure strong documentation, certification, and governance coverage.

Requirements

  • Bachelor's/Master's in Data Science, Engineering, or related field
  • 5 – 7 years of experience in data, analytics, or engineering roles
  • Proficiency in one or more general-purpose programming languages (e.g., Java, C/C++, C#, Python, JavaScript)
  • Working knowledge of SQL-based and NoSQL technologies (e.g., PostgreSQL, MySQL, MongoDB)
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data pipelinesdata transformationsAzureDatabricksdata modelsAI/MLperformance tuningcost optimizationSQLNoSQL
Soft Skills
collaborationcommunicationstakeholder engagementproblem-solvingdocumentation
Certifications
Bachelor's in Data ScienceMaster's in Data ScienceBachelor's in EngineeringMaster's in Engineering