Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.

What We Offer

Salary:

Location:

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. 

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. 

TEAM OVERVIEW:

The Logistics Data Management (LDM) organization enables data-driven logistics operations across the global supply chain through Supplier Connectivity, Freight Audit & Payment, Transportation Management System (TMS) Optimization, and Data & Analytics platforms.

This position will be part of the Logistics Data Repository (LDR) team, which serves as the central data and analytics platform for logistics operations. LDR integrates data from transportation, ERP, and other enterprise systems, transforming it into a unified data foundation that supports reporting, analytics, operational visibility, AI-driven initiatives, and business decision-making.

KEY RESPONSIBILITIES:

• Develop and support ETL/ELT pipelines using Python, SQL, PySpark, and modern data engineering frameworks.
• Build, test, and optimize data pipelines and analytics-ready datasets on cloud data platforms.
• Perform data analysis and exploratory data investigations to identify trends, anomalies, and business insights.
• Support analytics, reporting, and machine learning initiatives by preparing and validating high-quality data.
• Collaborate with Data Engineers, Data Scientists, and business stakeholders to solve complex business problems through data-driven solutions.
• Support AI-driven and intelligent automation initiatives and contribute to identifying opportunities where AI can improve business processes and engineering productivity.
• Assist with data quality, monitoring, troubleshooting, and operational support activities.
• Participate in design discussions, code reviews, and continuous improvement initiatives.

TECHNICAL SKILLS:

• Strong foundation in Python and SQL
• Understanding of Data Structures and Algorithms
• Exposure to PySpark, Apache Spark, or distributed data processing frameworks
• Knowledge of Data Engineering, ETL/ELT, and Data Warehousing concepts
• Familiarity with cloud platforms such as Azure, AWS, or GCP
• Exposure to Databricks, Airflow, or similar data engineering tools is preferred
• Understanding of data analysis, statistics, and machine learning fundamentals
• Experience with Pandas, NumPy, or similar data-processing libraries
• Familiarity with data visualization tools such as Power BI or Tableau is a plus
• Exposure to Generative AI, LLMs, or AI-assisted development tools is desirable

REQUIREMENTS/EDUCATION:

• Bachelors or Masters degree in Computer Science, Data Science, Information Systems, Software Engineering, Computer Engineering, Artificial Intelligence, Machine Learning, or related field
• GPA of 3.0 or above preferred
• Strong analytical, problem-solving, communication, and teamwork skills with a demonstrated passion for working with data and technology.

Applications will be reviewed on a rolling basis. Please apply by November 30, 2026. Note: This position may close early based on application volume or candidate selection. 

Additional Information

Time Type:

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Travel:

Relocation Eligible:

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at [email protected], or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.