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Principal Data Engineer

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Pepsico

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Location:
United States , Plano

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

89000.00 - 149000.00 USD / Year
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Job Description:

As a member of the data engineering team, you will be the key technical expert developing and overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You'll be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products

Job Responsibility:

  • Active contributor to code development in projects and services
  • Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products
  • Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance
  • Responsible for implementing best practices around systems integration, security, performance and data management
  • Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape
  • Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions

Requirements:

  • 6+ years of overall technology experience
  • 4+ years of hands-on software development, data engineering, and systems architecture
  • 4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools
  • 4+ years of experience in SQL optimization and performance tuning
  • development experience in programming languages like Python, PySpark, Scala
  • 2+ years in cloud data engineering experience in Azure (Azure Data Factory(ADF), ADLS-2, Databricks)
  • Fluent with Azure cloud services
  • Experience with integration of multi cloud services with on-premises technologies
  • Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines
  • Experience with data profiling and data quality tools
  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
  • Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake
  • Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes
  • Experience with version control systems like Github and deployment & CI tools
  • Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools
  • Working knowledge of agile development, including DevOps and DataOps concepts
  • Familiarity with business intelligence tools (such as PowerBI)

Nice to have:

  • Azure or Databricks Certification
  • Experience with Statistical/ML techniques
  • Experience with building solutions in the Supply chain space (Digital Procurement, Manufacturing, Cost, Warehouse, Network Design)
  • Understanding of metadata management, data lineage, and data glossaries
What we offer:
  • Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually
  • Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement
  • Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts
  • Employee Assistance Program (EAP)
  • Insurance (Accident, Group Legal, Life)
  • Defined Contribution Retirement Plan

Additional Information:

Job Posted:
January 15, 2026

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