Data Engineer

Global beverage and food company operating in data-driven digital transformation across eCommerce, mobile experiences, and IoT.
$100,000 - $167,500
Data
Mid-Level Software Engineer
Hybrid
4+ years of experience
Enterprise SaaS

Description For Data Engineer

PepsiCo is seeking a Data Engineer to join their Enterprise Data Operations (EDO) team, playing a crucial role in the company's digital transformation journey. This position offers an opportunity to work with big-data and digital technologies, enabling business innovations in eCommerce, mobile experiences, and IoT. As a key technical expert, you'll develop and oversee data product build & operations, creating data pipelines that impact revenue management, supply chain, manufacturing, and logistics.

The role involves working in a hybrid environment with both on-premise and cloud systems, where you'll be responsible for developing complex data applications in public cloud environments. You'll collaborate closely with process owners, product owners, and business users to ensure data quality and accessibility across the organization. The position requires expertise in data engineering, cloud technologies (particularly Azure), and strong programming skills in Python and SQL.

This is an excellent opportunity for a mid-level engineer looking to make an impact at a global scale. You'll be part of a team that maintains PepsiCo's corporate data assets, working to centralize and standardize data for use by business and data science stakeholders. The role offers competitive compensation ($100,000 - $167,500), comprehensive benefits, and the chance to work on cutting-edge data solutions that drive business transformation.

The ideal candidate will bring 4+ years of technology experience, strong cloud platform knowledge, and excellent communication skills. You'll be working in a collaborative environment that values innovation, agile methodologies, and continuous learning. This position offers growth opportunities while working with globally distributed teams and implementing best practices in data engineering and analytics.

Last updated 13 days 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
  • Develop and optimize procedures to productionalize data science models
  • Define and manage SLAs for data products
  • Support large-scale experimentation done by data scientists
  • Create documentation and reusable libraries

Requirements For Data Engineer

Python
Kubernetes
  • 4+ years of overall technology experience with 3+ years hands-on software development
  • 3+ years experience with Data Lake Infrastructure and Data Warehousing
  • 3+ years experience in SQL optimization and Python/PySpark development
  • 2+ years in Azure cloud data engineering
  • Experience with Azure Data Factory, Databricks, and Machine Learning tools
  • Experience with data modeling and building ETL/ELT pipelines
  • 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)
  • Defined Contribution Retirement Plan

Interested in this job?

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