Data Engineer - North America Fabric Care

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

Job Location CINCINNATI GENERAL OFFICES

Job Description Information Technology at Procter & Gamble is where business, innovation and technology integrate to build a competitive advantage for P&G. Our mission is clear -- we deliver IT to help P&G win with the over 5 billion consumers we serve worldwide.

Our IT professionals are diverse business leaders who apply IT expertise to deliver innovative, tech-focused business models and capabilities for our 65 iconic, trusted brands. From Day 1, you'll be trusted to dive right in, take the lead, use your initiative, and build billion-dollar brands that help make everyday activities easier and make the world a better place!

Our company offers purposeful work that will take your career places you never envisioned, in creative workspaces where innovation thrives and where your technical expertise is recognized and rewarded.

The Opportunity As a Data Engineer, you'll design, develop, and implement cloud-based data and analytics platforms (DAP) and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources. Beyond building robust data solutions, you'll partner closely with business stakeholders, architects, and analytics teams to translate business needs into technical solutions, influence how data is structured and consumed, and help shape engineering standards across the team. Our stack keeps evolving, so we care less about which exact tools you know today and more about your curiosity and drive to keep learning and expanding your skill set.

Key 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.

Job 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 - 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.
• 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 (application development, APIs, testing, design patterns) beyond pure data pipelines.
• Relevant certifications, e.g. Databricks Certified Data Engineer (Associate/Professional) or Microsoft Azure / Google Cloud Data Engineer.

Job Segmentation Entry Level Starting Pay / Salary Range $85,000.00 - $122,200.00 / year

Job Schedule Full time

Job Number R000157463

P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world's largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of talented teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Immigration Sponsorship is not available for this role.

For more information regarding who is eligible for hire at P&G along with other work authorization FAQ's, please click HERE.

Procter & Gamble participates in E-Verify.

Qualified individuals will not be disadvantaged based on being unemployed.

P&G is dedicated to meeting the needs of applicants requesting an accommodation/adjustment due to a disability in order to complete the online application process.

If you have a disability that affects your ability to complete our online application process, please visit our Disability Accommodation Page.

Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.