[Sept 2026 intake - Fresh Grad Only] Engineer, Automation Development Engineering

We are seeking a highly motivated New College Graduate to join our Data Solutions team as a Software Data Platform Engineer. In this role, you will work on the design, development, and optimization of data systems that support advanced analytics, automation, and decision-making in our manufacturing environment. You will gain hands-on experience in building data pipelines, managing large datasets, and enabling digital transformation across our operations.

This position is ideal for fresh graduates who are passionate about data engineering, analytics platforms, and scalable software systems, and who want to grow their careers in a high-impact, technology-driven environment.

ESSENTIAL DUTIES AND RESPONSIBLITIES:

• Assist in the design, development, and deployment of data pipelines for structured and unstructured data.
• Collaborate with cross-functional teams (engineering, automation, IT, and operations) to integrate data solutions into business processes.
• Contribute to the implementation and optimization of data processing frameworks and tools for large-scale manufacturing datasets.
• Ensure data quality, consistency, and security through validation, monitoring, and documentation.
• Participate in data modeling, storage, and retrieval strategies to support analytics and reporting use cases.
• Develop and maintain technical documentation for data systems, APIs, and workflows.
• Stay up-to-date with emerging technologies in cloud, data engineering, and automation to support continuous improvement.

REQUIRED:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.
• Strong programming foundation (Python, C#, or JavaScript preferred).
• Familiarity with relational databases (SQL) and data modeling concepts.
• Exposure to data pipelines or ETL processes through coursework, projects, or internships.
• Strong analytical, problem-solving, and communication skills.
• Eagerness to learn and adapt quickly in a fast-paced, technical environment.

PREFERRED:

• Familiarity with big data technologies (e.g., Spark, Hadoop, Kafka).
• Experience with cloud platforms (AWS, Azure, or Google Cloud).
• Exposure to containerization or orchestration tools (Docker, Kubernetes).
• Knowledge of manufacturing, automation, or IoT data integration.
• Experience with version control systems (Git) and collaborative development practices.

SKILLS:

• Curious and motivated to learn new technologies and approaches.
• Strong attention to detail and commitment to data accuracy.
• Good interpersonal and teamwork skills to collaborate with cross-functional stakeholders.
• Ability to translate technical findings into business insights.
• Adaptability to evolving project requirements and industry trends.

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

NOTICE TO CANDIDATES: Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email [email protected].