Cloud Data Engineer — ETL Pipelines & AI-Driven Data

Procter & Gamble; Cincinnati (OH); Hybrid; USD 85,000 - 122,000; Full time

Job summary

Procter & Gamble in Cincinnati, OH seeks a Data Engineer to design, build, and operate cloud-based data and analytics platforms and pipelines. You will partner with stakeholders to translate business needs into robust data solutions and influence data architecture across the team.

You'll work on ETL/ELT design, ensure data quality and performance, and mentor others while embracing Generative AI and modern tooling. This is a hybrid, full-time opportunity in the Cincinnati area.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Experience in data engineering or a closely related field.
• Strong proficiency in Python and SQL for data processing, transformation, and analysis.
• Solid understanding of data engineering concepts - data modeling, ETL/ELT design, and distributed data processing.
• Good understanding of modern cloud platforms (Azure and/or GCP).
• Experience connecting data solutions with other systems - ingesting from and delivering data to APIs, databases, and external services.
• Comfortable working with modern development tools - IDEs (e.g. VS Code), Git-based collaborative workflows, and CI/CD for data pipelines.
• Ownership mindset - ability to take a problem end-to-end, from understanding the business need to delivering and supporting a reliable solution.
• Excellent communication skills, with the ability to work closely with business stakeholders.
• Practical experience working with Generative AI tools, with a focus on AI-assisted development and agentic systems - and the judgment to use them effectively and safely.
• A genuine curiosity and willingness to learn - eager to pick up new technologies and continuously expand your technical stack.
• Ability to work in Cincinnati, OH based 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 - ingesting from a range of sources (APIs, databases, files, third-party services) and making curated data available to downstream applications and consumers.
• Take end-to-end ownership of your work - from understanding the requirement, through design and implementation, to monitoring, supporting, and improving what you ship.
• Act as a technical point of contact for stakeholders, and help guide and mentor less-experienced engineers through knowledge sharing and code review.
• Help define and evolve our engineering standards and best practices for data - code quality, testing, CI/CD, and reusability.
• Ensure data quality, reliability, and performance across the solutions you own.
• Use modern development tools - IDEs (VS Code) and Git-based workflows - to build, test, and ship data solutions efficiently.
• Leverage Generative AI and agentic tooling to accelerate development, while applying good judgment on where and how to use it safely.
• Continuously learn and adopt new technologies, and share what you learn to help the whole team grow.

Skills

Python

SQL

Data engineering

ETL/ELT

Azure

GCP

APIs

CI/CD

Generative AI

Communication

Ownership

Education

Bachelor's degree in Computer Science

Tools

Azure Databricks

PySpark

Power BI

Job description

Procter & Gamble in Cincinnati, OH seeks a Data Engineer to design, build, and operate cloud-based data and analytics platforms and pipelines. You will partner with stakeholders to translate business needs into robust data solutions and influence data architecture across the team.

You'll work on ETL/ELT design, ensure data quality and performance, and mentor others while embracing Generative AI and modern tooling. This is a hybrid, full-time opportunity in the Cincinnati area.