SWE & App Arch Engineer

Overview

As a Data Platform Engineer, you will help build, maintain, and scale the infrastructure and pipelines that form the backbone of our data ecosystem. Working closely with senior engineers, you will gain hands-on experience with the modern data stack, cloud infrastructure, and data orchestration. This role is highly collaborative and ideal for someone with a strong foundation in computer science who is eager to learn, adapt, and write high-quality code.

Responsibilities

• Assist in the design, development, and maintenance of scalable data pipelines and cloud infrastructure.
• Collaborate with data engineers, data scientists, and analysts to understand data needs and ensure reliable data delivery.
• Monitor platform performance, troubleshoot data pipeline failures, and resolve foundational database issues.
• Embrace AI and modern developer tools to write clean, efficient, and well-documented code.
• Actively learn new technologies, frameworks, and best practices in the rapidly evolving data engineering space.

Compensation and Benefits

• The expected compensation range is $79,800 - $136,100.
• Actual starting salary will be based on location, confirmed job-related skills, experience, and education.
• A performance-based bonus is available; eligibility target payout is 5% of annual salary, paid out annually.
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
• Comprehensive benefits package subject to elections and eligibility, including: Medical, Dental, Vision, Disability, Health, Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Qualifications

Required Qualifications

• Bachelor’s degree in computer science, Software Engineering, or a related technical field (or equivalent practical/bootcamp experience).
• Strong grasp of core computer science principles, including object-oriented programming (e.g., Python).
• Solid understanding of data structures, algorithms, and how to optimize code for performance and scale.
• Deep understanding of database architecture and relational concepts, with strong proficiency in SQL.

Preferred Qualifications

• 1 to 2 years of experience (including internships, co-ops, or substantial academic/personal projects) in software engineering, data engineering, or DevOps.
• Familiarity with Apache Airflow for scheduling/orchestration and dbt for data transformation.
• Exposure to Terraform for managing cloud resources (Infrastructure as Code).
• Basic understanding or hands-on experience with modern data warehouses/lakehouses such as Snowflake or Databricks.
• Familiarity with Kubernetes and Docker for deploying and managing scalable, containerized applications.
• Experience working with PostgreSQL.
• Understanding of and experience using AI coding assistants (e.g., Claude, GitHub Copilot) to accelerate development and problem-solving.

EEO Statement

Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act and other applicable laws, including but not limited to the San Francisco Fair Chance Ordinance and the Fair Chance Initiative for Hiring Ordinance in Los Angeles.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age.

If you’d like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents.

Please view our Pay Transparency Statement.