- Work closely with the product owner/Product Architect and functional teams to understand data requirements
- Design and develop data pipelines to extract, transform, and load data from varied sources and formats into the Enterprise Data Lake
- Collaborate with lead Architects, Business SMEs, and Data Scientists on end-to-end data pipelines and supporting infrastructure
- Build infrastructure and analytics tools using Python, SQL, and AWS
- Identify and implement opportunities to automate tasks
- Develop reusable frameworks
- Design, build, and develop rapid proof-of-concept solutions and services
- Acquire hands-on skills and foundational professional experience during the internship
Requirements
- Must be available to work a full-time schedule
- Expected continued enrollment in an accredited college or university following the internship program / co-op
- Student must be located in the United States for the duration of the internship program
- Must be available to accept and commit to future full-time employment by July 2028, if offered
- 18 years or older
- Graduated with a bachelor's degree from an accredited college or university
- Currently enrolled in an MBA, Master's, PharmD, or Ph.D. program from an accredited college or university and completed the first year before the internship starts
- Preferred: completing the first year of a Master's program in Information Technology, Computer Science, Engineering, Business, or related field
- Preferred: 1 or more years relevant work experience
- Preferred: biotechnology, pharmaceutical, or health care industry experience
- Intermediate knowledge of Microsoft Word, Excel, and PowerPoint
- Strong project management, analytical, and quantitative skills
- Proficient in one coding language: Python, Java, Scala, or SQL
- Coursework preferred in business systems analysis, Lean, Agile (SCRUM), SDLC processes, software development, database modeling, web design and development, IT management, cloud-based application management, B2B collaboration, or enterprise systems such as ERP and CRM
- Candidates must be authorized to work in the U.S. for the duration of the program
Core Competencies
Demonstrates expertise in designing and developing data pipelines using Python and SQL, with a focus on building infrastructure and analytics tools in AWS. Strong analytical and project management skills are essential for collaborating with cross-functional teams and automating tasks.
Highest-signal resume keywords
- Data Pipeline Development
- Python Programming
- SQL Proficiency
- AWS Infrastructure
- Project Management
ATS Optimization Keywords
Hard Skills
- Data Extraction
- Data Transformation
- Data Loading
- Framework Development
- Proof-of-Concept Solutions
- Database Modeling
- Cloud-Based Application Management
- Lean Methodology
- Agile (SCRUM)
- Software Development Life Cycle (SDLC)
Soft Skills
- Analytical Skills
- Quantitative Skills
- Collaboration
- Communication
- Problem-Solving
Industry Keywords
- Biotechnology
- Pharmaceutical
- Health Care
- Business Systems Analysis
- Enterprise Resource Planning (ERP)
- Customer Relationship Management (CRM)
Tools & Technologies
- Microsoft Word
- Microsoft Excel
- Microsoft PowerPoint
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Grad Intern – Data Engineer Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
