Data & AI Engineering (New Grad) – Cincinnati, OH
This entry-level role at Confidential Client is designed for 2027 graduates passionate about data and analytics, offering opportunities in Data Engineering, AI Engineering, and Data Asset Management. The position involves building and maintaining data platforms and pipelines, developing AI models, and leading data governance to drive data-driven business decisions. Candidates will apply innovative technologies and collaborate across teams to solve complex business problems and enhance data quality and accessibility.
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 (IT).
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is hiring entry-level candidates graduating in 2027 into Data, Analytics & AI Engineering roles. Depending on your placement, you may work as a Data Engineer, AI Engineer, or Data Asset Manager. In all roles you will apply data and analytics to solve real business problems and help the organization make data-driven decisions.
- Design, build, and maintain cloud-based data platforms and scalable data pipelines.
- Develop, cleanse, transform, and publish datasets that meet functional and non-functional requirements.
- Build and deploy proof-of-concept AI/ML solutions; evaluate emerging models and technologies.
- Develop feature engineering, ETL/ELT, and data quality assurance processes.
- Participate in and influence data governance, metadata management, and data security practices.
- Communicate technical findings clearly to both technical and non-technical partners.
- Contribute reusable code, libraries, and automation to shared repositories and adhere to coding standards and best practices.
Qualifications
You should be graduating in Spring or Summer 2027 with a Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Data Science, Applied Math, Statistics, Analytics, or a related field.
- Strong analytical and problem-solving skills.
- Experience or coursework with programming languages such as Python, SQL, or R (willingness to learn new languages).
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Understanding of core data management practices and ability to communicate technical concepts clearly.
- Eligible to work for the employer without immigration sponsorship (see Additional Details).
Preferred
- Experience with cloud platforms such as Microsoft Azure or Google Cloud Platform.
- Exposure to data governance, master/reference data, or metadata management.
- History of solving complex problems with practical, innovative solutions.
- Relevant internships, projects, or coursework in data analysis, data engineering, or AI.
Compensation & Location
- Job type: Full time, Entry Level
- Location: Cincinnati, OH (Cincinnati General Offices) — candidates should be open to relocation and mobility during their career development.
- Salary range (posted): $85,000 — $122,200 per year. Total rewards may include salary, bonus (if applicable), and benefits.
Additional Details & Employer Policies
- Immigration sponsorship is not available for this role. Qualified candidates must have authorization to work without sponsorship.
- Confidential Client participates in E-Verify.
- Confidential Client is committed to equal employment opportunity and does not discriminate on the basis of protected characteristics. Reasonable accommodations are available for applicants with disabilities who need assistance with the application process.
- Candidates who are-unemployed will not be disadvantaged in the hiring process.
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.
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