Data Engineer

Global food and beverage company operating in retail, supply chain and manufacturing sectors.
Plano, TX, USAChicago, IL, USAHarrison, NY, USA
$100,000 - $167,500
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
4+ years of experience
Enterprise SaaS · Consumer

Description For Data Engineer

PepsiCo is seeking a Data Engineer to join their Enterprise Data Operations (EDO) team, focusing on developing and maintaining critical data infrastructure that powers business insights and innovation. The role involves building data pipelines, managing cloud infrastructure, and enabling data access across the organization. You'll work with cutting-edge technologies in Azure cloud environment, handling large-scale data operations for revenue management, supply chain, manufacturing, and logistics.

As a key technical expert, you'll be responsible for developing data products and operations while collaborating with process owners, product owners, and business users. The position offers exposure to both on-premise and cloud systems, requiring expertise in data engineering, cloud technologies, and modern data architecture practices.

The ideal candidate will have strong experience in data pipeline development, cloud platforms (especially Azure), and data warehousing technologies. You'll work in a dynamic environment that values innovation, collaboration, and technical excellence. This role offers the opportunity to impact PepsiCo's global data strategy while working with a diverse team of professionals.

The position comes with comprehensive benefits including competitive salary, annual bonus opportunity, healthcare benefits, retirement plans, and various insurance options. PepsiCo offers a collaborative work environment with opportunities for professional growth and development in a leading global consumer goods company.

Last updated 12 hours ago

Responsibilities For Data Engineer

  • Manage and scale data pipelines from internal and external data sources
  • Build automation and monitoring frameworks for data pipeline quality
  • Implement best practices for systems integration and data management
  • Collaborate with data science and product teams
  • Develop and optimize procedures to productionalize data science models
  • Define and manage SLAs for data products
  • Support large-scale experimentation
  • Create documentation and reusable libraries

Requirements For Data Engineer

Python
Kubernetes
  • 4+ years of technology experience with 3+ years in software development and data engineering
  • 3+ years experience with Data Lake Infrastructure and Data Warehousing
  • 3+ years experience in SQL optimization and Python/PySpark programming
  • 2+ years cloud data engineering experience in Azure
  • Experience with Azure Data Factory, Databricks and Machine learning tools
  • Experience with data modeling and building ETL/ELT pipelines
  • Experience with MPP databases like Redshift, Synapse or SnowFlake
  • BA/BS in Computer Science, Math, Physics, or other technical fields

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Annual bonus target of 8% of salary
  • Paid time off including parental leave, vacation, sick, and bereavement
  • Medical, Dental, Vision insurance
  • Health and Dependent Care Reimbursement Accounts
  • Employee Assistance Program (EAP)
  • Life and Accident Insurance
  • Defined Contribution Retirement Plan

Interested in this job?

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