Cloud Data Engineer - AI-Powered Data Pipelines (Hybrid)

Procter & Gamble; United States; Hybrid; USD 85,000 - 122,000; Full time

Job summary

Procter & Gamble in Cincinnati, OH is seeking a Data Engineer to design, build, and operate cloud-based data and analytics platforms that acquire, cleanse, transform, and publish data from various sources. You will partner with stakeholders to translate requirements into scalable data solutions and influence engineering standards across the team.

Our stack prioritizes curiosity and learning as you own end-to-end data pipelines, implement ETL/ELT, and ensure data quality and performance.

Qualifications

• 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.
• 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 - both 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.
• 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.
• Preferred: Hands-on experience with Azure Databricks.
• Proficiency with PySpark / Spark for large-scale data processing.
• Experience with Power BI.
• Background in software development / software engineering beyond pure data pipelines.
• Relevant certifications, e.g. Databricks Certified Data Engineer or Microsoft Azure / Google Cloud Data Engineer.

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 and making curated data available downstream.
• Take end-to-end ownership of your work - from understanding requirements to monitoring and improving what you ship.
• Act as a technical point of contact for stakeholders and mentor less-experienced engineers.
• Help define and evolve 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 to build, test, and ship data solutions efficiently.
• Leverage Generative AI and agentic tooling to accelerate development with safe judgment.

Skills

Python

SQL

PySpark

Spark

Power BI

Databricks

Azure

GCP

ETL/ELT

Data Modeling

CI/CD

VS Code

Git

Education

Bachelor's degree in Computer Science or related field

Tools

VS Code

Databricks

PySpark

Spark

Job description

Procter & Gamble in Cincinnati, OH is seeking a Data Engineer to design, build, and operate cloud-based data and analytics platforms that acquire, cleanse, transform, and publish data from various sources. You will partner with stakeholders to translate requirements into scalable data solutions and influence engineering standards across the team.

Our stack prioritizes curiosity and learning as you own end-to-end data pipelines, implement ETL/ELT, and ensure data quality and performance.