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Procter & Gamble

Makes household and personal care products

Data Engineer - North America Fabric Care

Data EngineeringConfirmed live in the last 24 hours
Full-timeCincinnati, OH, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science or a related field.
  • Experience in data engineering or a closely related field.
  • Strong proficiency in Python and SQL for data processing, transformation, and analysis.
  • A solid understanding of data modeling, ETL/ELT design, and distributed data processing.
  • A good understanding of modern cloud platforms, specifically Azure and/or Google Cloud Platform.
  • Experience connecting data solutions with other systems, including ingesting from and delivering data to APIs, databases, and external services.
  • Comfort with modern development tools, including integrated development environments such as Visual Studio Code, Git-based collaborative workflows, and CI/CD for data pipelines.
  • Ability to take a problem end-to-end, from understanding the business need through delivering and supporting a reliable solution.
  • Excellent communication skills and ability to work closely with business stakeholders.
  • Practical experience with generative AI tools, focused on AI-assisted development and agentic systems, and sound judgment about using them effectively and safely.
  • Curiosity and willingness to learn new technologies and expand the technical stack.
  • Ability to work in the Cincinnati, Ohio office on a hybrid schedule.

Responsibilities

  • Partner with business stakeholders to understand their needs and translate them into robust, well-designed data solutions.
  • Design, build, and maintain ETL/ELT pipelines on a modern cloud data platform.
  • Integrate the data platform with other systems and services by ingesting data from APIs, databases, files, and third-party services, and make curated data available to downstream applications and consumers.
  • Own work end-to-end, from understanding requirements through design and implementation to monitoring, supporting, and improving shipped solutions.
  • Act as a technical point of contact for stakeholders and guide and mentor less-experienced engineers through knowledge sharing and code review.
  • Help define and evolve data engineering standards and best practices for code quality, testing, CI/CD, and reusability.
  • Ensure data quality, reliability, and performance across owned solutions.
  • Use modern development tools, including Visual Studio Code and Git-based workflows, to build, test, and ship data solutions.
  • Use generative AI and agentic tooling to accelerate development, applying judgment about how to use it safely.
  • Continuously learn and adopt new technologies and share learning with the team.

Desired Qualifications

  • Hands-on experience with Azure Databricks.
  • Proficiency with PySpark or Apache Spark for large-scale data processing.
  • Experience with Power BI.
  • A background in software development or software engineering, including application development, APIs, testing, and design patterns, beyond pure data pipelines.
  • Relevant certifications, such as Databricks Certified Data Engineer Associate or Professional, or Microsoft Azure or Google Cloud Data Engineer certification.

About the Company

Procter & Gamble

Makes household and personal care products

Procter & Gamble makes household and personal care products that consumers use for cleaning, grooming, hygiene, and everyday health. Its portfolio includes Tide laundry detergent, Pampers diapers, Gillette razors, and Crest toothpaste, with brands tailored to different needs and markets. The company develops and manufactures these branded goods, then earns revenue by selling them through retailers, distributors, online stores, and direct consumer channels. Its businesses span beauty and hair care, shaving, oral and personal health, fabric and home care, and baby and family care. Founded in 1837, Procter & Gamble is headquartered in Cincinnati, Ohio.

Company size
10,001+
Company stage
IPO
Headquarters
Cincinnati, OH
Founded
1837

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