Data Engineer - North America Fabric Care
The Data Engineer at Confidential Client is responsible for designing, developing, and maintaining cloud-based data and analytics platforms and pipelines that support business needs. This role involves close collaboration with stakeholders to translate requirements into robust data solutions, ensuring data quality and performance, and mentoring junior engineers. The position emphasizes continuous learning, use of modern development tools, and leveraging generative AI to accelerate development within a hybrid work environment based in Cincinnati, OH.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Information Technology.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
You will join Confidential Client as a Data Engineer focused on cloud-based data & analytics platform (DAP) work for North America Fabric Care. You’ll design, build, and maintain data pipelines and platforms that enable reliable, curated data for analytics and applications.
- Partner with business stakeholders, architects, and analytics teams to translate business needs into well-designed data solutions.
- Design, build, and maintain ETL/ELT pipelines on a modern cloud data platform.
- Ingest data from APIs, databases, files, and third‑party services; transform and publish curated datasets for downstream consumers.
- Own your work end-to-end — requirements, design, implementation, monitoring, support, and continuous improvement.
- Serve as a technical point of contact; perform code reviews, mentor junior engineers, and share knowledge.
- Help define and enforce engineering standards for code quality, testing, CI/CD, and reusable patterns.
- Ensure data quality, reliability, and performance for the solutions you own.
- Use modern development tools (e.g., VS Code, Git workflows) to build, test, and ship solutions.
- Leverage Generative AI and agentic tooling to accelerate development where appropriate, with sound safety and judgment.
- Continuously learn new technologies and share learnings across the team.
Qualifications
Required
- Bachelor’s degree in Computer Science or a related field.
- Experience in data engineering or a closely related role.
- Strong proficiency in Python and SQL for data processing and transformation.
- Solid understanding of data engineering fundamentals: data modeling, ETL/ELT patterns, and distributed data processing.
- Practical experience with modern cloud platforms (Azure and/or GCP).
- Experience integrating data solutions with APIs, databases, and external services.
- Comfortable with Git-based collaboration and CI/CD for data pipelines.
- Ownership mindset: able to take problems from requirement through production support.
- Strong written and verbal communication; able to work with business stakeholders.
- Practical experience using Generative AI tools for assisted development, with judgement about safe use.
- Ability to work in the Saint Bernard, OH area 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 or similar BI tools.
- Background in software development (APIs, testing, design patterns) beyond ETL pipelines.
- Relevant certifications (e.g., Databricks Data Engineer, Microsoft/Google cloud certifications).
Compensation & Logistics
- Employment type: FULL_TIME
- Salary range (posted): $85,000 — $122,200 per year
- Location: Saint Bernard, OH (hybrid schedule; ability to work in-office required)
- Immigration sponsorship: not available for this role
- Confidential Client participates in e-verify as required by law
- Reasonable accommodations will be provided for applicants with disabilities; contact the recruiter for details
Why You’ll Like Working Here
Confidential Client offers purposeful IT work where your technical contributions directly impact product and business outcomes. You’ll join a team that values continuous learning, modern engineering practices, and practical use of AI to accelerate delivery. This role is a good fit if you enjoy building robust data platforms, mentoring teammates, and working closely with business stakeholders to deliver measurable value.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
Negotiate a higher salary! Check the salary ranges for this job type in your area.
View My Salary Range