Data & AI Engineering (2027 Grads)
This entry-level role at Confidential Client offers 2027 graduates opportunities in Data Engineering, AI Engineering, and Data Asset Management to leverage data and analytics for business impact. Responsibilities include designing data pipelines, developing AI models, managing data governance, and collaborating across teams to ensure high-quality, scalable data solutions aligned with enterprise standards. The position emphasizes innovation, technical skill development, and effective communication to support data-driven decision-making within a large enterprise environment.
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, Consumer Packaged Goods (CPG).
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 for roles across Data Engineering, AI Engineering, and Data Asset Management. You will work on data-driven projects that influence business decisions and enable scale across product, operations, and analytics teams.
- Support the design, build, and maintenance of cloud-based data platforms and scalable data pipelines that ingest, cleanse, transform, and publish data.
- Contribute to proof-of-concept and experimental ML/AI work — develop, deploy, monitor, and improve models and their data workflows.
- Help manage data assets: support data governance, metadata practices, and data quality to ensure data is reliable and discoverable.
- Collaborate with engineers, data asset managers, architects, and business partners to deliver fit-for-purpose solutions that align with enterprise standards.
- Write reusable, well-tested code and document solutions so teams can operate and extend them efficiently.
- Identify process and platform improvements to increase operational efficiency, reliability, and data quality.
Role Examples (typical responsibilities)
Data Engineer
- Build and optimize ETL/ELT pipelines and data processing flows.
- Implement data ingestion, transformation, and storage solutions on cloud platforms.
- Apply coding standards and engineering best practices to produce scalable services.
AI Engineer
- Prototype and productionize model-driven solutions and ML pipelines.
- Implement feature engineering, model monitoring, and model lifecycle practices.
- Leverage cloud-native services for scalable model deployment.
Data Asset Manager
- Lead data governance activities for assigned domains.
- Own data quality, metadata, reference and master data, and data access patterns.
- Advise business partners on data strategy and data stewardship practices.
Qualifications
- 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 similar.
- Strong analytical and problem-solving skills.
- Experience with programming or coursework in Python, SQL, R, or similar languages (ability to learn new languages quickly).
- Familiarity with data visualization tools (e.g., Tableau, Power BI) and basic data management concepts.
- Clear written and verbal communication skills; ability to explain technical topics to both technical and non-technical stakeholders.
Preferred
- Experience or coursework building data pipelines, ETL/ELT, or distributed data processing.
- Familiarity with cloud platforms such as Microsoft Azure or Google Cloud Platform.
- Understanding of data governance, metadata, and data quality best practices.
- Demonstrated history of solving complex problems with innovative approaches.
Compensation & Logistics
- Employment type: Full time (Entry Level).
- Posted salary range (from source): $85,000.00 - $122,200.00 per year.
- Immigration sponsorship is not available for this role.
- Our client participates in E-Verify.
- Applicants who are unemployed will not be disadvantaged.
Additional Information
- This opportunity is best suited to students completing a bachelor’s degree in 2027 who want hands-on experience building data platforms, analytics solutions, and ML prototypes within a Consumer Packaged Goods environment.
- The role requires collaboration across cross-functional teams and adherence to enterprise data standards and security practices.
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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