Engineer, Data Analytics Engineering

Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Job Description

We are looking for a curious and motivated Junior Data Analytics Engineer with foundational experience in machine learning to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making.

Key Responsibilities:

• Design, build, and maintain data pipelines to support analytics and machine learning models.
• Prepare and preprocess data for ML training and evaluation.
• Assist in implementing basic machine learning models (e.g., regression, classification) under guidance.
• Monitor data quality and support model performance tracking in production.
• Contribute to feature engineering and exploratory data analysis (EDA) tasks.
• Build dashboards and reports to visualize ML outputs and business KPIs.
• Document data flows, ML pipelines, and model metadata for transparency and reproducibility.

Qualifications

REQUIRED:

• Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
• 0–2 years of experience in data analytics, data engineering, or machine learning.
• Proficiency in SQL for data querying and manipulation.
• Basic Python programming skills, particularly for data analysis (e.g., pandas, NumPy).
• Understanding of machine learning fundamentals (e.g., supervised learning, model evaluation, overfitting).

PREFERRED:

• Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow.
• Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau).
• Familiarity with version control tools such as Git.
• Experience working in cloud environments (e.g., AWS, GCP, Azure), especially with ML tools like SageMaker or Vertex AI.
• Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.

SKILLS:

• Data preprocessing and feature engineering techniques.
• Basic data pipeline development and ETL/ELT workflows.
• Ability to interpret and visualize data insights.
• Strong analytical and problem-solving mindset.
• Attention to detail and a commitment to data accuracy and integrity.
• Effective written and verbal communication.
• Team collaboration and a proactive learning attitude.

Additional Information

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 jobs.accommodations@sandisk.com 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 compliance@sandisk.com.