Data Engineer - North America Fabric Care
Procter & Gamble
Data Engineer - North America Fabric Care
Job Description
Job LocationCINCINNATI GENERAL OFFICESJob DescriptionInformation 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 OpportunityAs 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 ResponsibilitiesPartner 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 QualificationsRequired: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.Compensation for roles at P&G varies depending on a wide array of equal opportunity factors including but not limited to the specific office location, role, degree/credentials, relevant skills, and level of experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits. 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.At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise. Our company is 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.P&G participates in e-verify as required by law.Qualified individuals will not be disadvantaged based on being unemployed.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.Job ScheduleFull timeJob NumberR000157463Job SegmentationEntry LevelStarting Pay / Salary Range$85,000.00 - $122,200.00 / year
Locations
- CINCINNATI GENERAL OFFICES
Skills Required
- data engineeringintermediate
- Pythonintermediate
- Azure Databricksintermediate
- PySpark / Spark for large-scale data processingintermediate
- Power BIintermediate
- software development / software engineeringintermediate
Required Qualifications
- Bachelor's degree in Computer Science or a related field. (degree in computer science or a related field)
- Experience in data engineering or a closely related field. (experience)
- Strong proficiency in Python and SQL for data processing, transformation, and analysis. (experience)
- Solid understanding of data engineering concepts - data modeling, ETL/ELT design, and distributed data processing. (experience)
- Good understanding of modern cloud platforms (Azure and/or GCP). (experience)
- Experience connecting data solutions with other systems - both ingesting from and delivering data to APIs, databases, and external services. (experience)
- Comfortable working with modern development tools - IDEs (e.g. VS Code), Git-based collaborative workflows, and CI/CD for data pipelines. (experience)
- Ownership mindset - ability to take a problem end-to-end, from understanding the business need to delivering and supporting a reliable solution. (experience)
- Excellent communication skills, with the ability to work closely with business stakeholders. (experience)
- 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. (experience)
- A genuine curiosity and willingness to learn - eager to pick up new technologies and continuously expand your technical stack. (experience)
- Ability to work in Cincinnati, OH based office on a hybrid schedule. (experience)
- Bachelor's degree in Computer Science or a related field. (degree in computer science or a related field)
- Experience in data engineering or a closely related field. (experience)
- Strong proficiency in Python and SQL for data processing, transformation, and analysis. (experience)
- Solid understanding of data engineering concepts - data modeling, ETL/ELT design, and distributed data processing. (experience)
- Good understanding of modern cloud platforms (Azure and/or GCP). (experience)
- Experience connecting data solutions with other systems - both ingesting from and delivering data to APIs, databases, and external services. (experience)
- Comfortable working with modern development tools - IDEs (e.g. VS Code), Git-based collaborative workflows, and CI/CD for data pipelines. (experience)
- Ownership mindset - ability to take a problem end-to-end, from understanding the business need to delivering and supporting a reliable solution. (experience)
- Excellent communication skills, with the ability to work closely with business stakeholders. (experience)
- 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. (experience)
- A genuine curiosity and willingness to learn - eager to pick up new technologies and continuously expand your technical stack. (experience)
- Ability to work in Cincinnati, OH based office on a hybrid schedule. (experience)
- Qualified individuals will not be disadvantaged based on being unemployed. (experience)
Preferred Qualifications
- Hands-on experience with Azure Databricks. (experience)
- Proficiency with PySpark / Spark for large-scale data processing. (experience)
- Experience with Power BI. (experience)
- Background in software development / software engineering (application development, APIs, testing, design patterns) beyond pure data pipelines. (experience)
- Relevant certifications, e.g. Databricks Certified Data Engineer (Associate/Professional) or Microsoft Azure / Google Cloud Data Engineer. (certification)
- Hands-on experience with Azure Databricks. (experience)
- Proficiency with PySpark / Spark for large-scale data processing. (experience)
- Experience with Power BI. (experience)
- Background in software development / software engineering (application development, APIs, testing, design patterns) beyond pure data pipelines. (experience)
- Relevant certifications, e.g. Databricks Certified Data Engineer (Associate/Professional) or Microsoft Azure / Google Cloud Data Engineer. (certification)
- At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise. (experience)
- 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. (experience)
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.
- 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.
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer - North America Fabric Care @ Procter & Gamble.
10 Questions
~2 Minutes
Instant Score