Data Engineer (North America Fabric Care)

Location: Cincinnati, OH-based office with a hybrid schedule; candidates must be able to work in the office.

Salary: $92,000–$116,500 per year.

Company

Information technology supports business, innovation, and technology across a global portfolio of consumer brands.

What you will do

• Design, develop, and implement cloud-based data and analytics platforms and ETL/ELT pipelines.
• Ingest, cleanse, transform, and publish data from APIs, databases, files, and third-party services.
• Partner with business stakeholders, architects, and analytics teams to translate requirements into technical solutions.
• Own solutions end to end, including design, implementation, monitoring, support, reliability, and performance improvement.
• Contribute to engineering standards for code quality, testing, CI/CD, and reusable data solutions.
• Act as a technical point of contact, mentor less-experienced engineers, and use Generative AI and agentic tooling safely to accelerate development.

Requirements

• 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.
• Understanding of data modeling, ETL/ELT design, and distributed data processing.
• Good understanding of modern cloud platforms, including Azure and/or GCP.
• Experience ingesting from and delivering data to APIs, databases, and external services.
• Experience with IDEs such as VS Code, Git-based collaborative workflows, and CI/CD for data pipelines.
• Ability to own problems end to end, communicate effectively with business stakeholders, learn new technologies, and expand the technical stack.
• Practical experience with Generative AI tools, AI-assisted development, and agentic systems, with sound judgment for safe and effective use.

Nice to have

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

Culture & Benefits

• Purposeful work supporting widely used consumer brands.
• Creative workspaces focused on innovation and technical growth.
• Opportunities for learning, knowledge sharing, and career development through different assignments and locations.
• Total rewards include salary, possible bonus, and benefits.
• Equal employment opportunities and applicant accommodation support are provided.

Hiring process

• Specific total-rewards details and the relevant salary range may be discussed during the hiring process.
• Immigration sponsorship is not available for this role.