Success Starts Here

As a leading global supplier of wafer fabrication equipment and services to the semiconductor industry, Lam Research develops innovative solutions that help our customers build smaller, faster, and more power-efficient devices.

We are a company comprised of people who work hard, deliver outstanding results and maintain a sense of humor during even the most challenging times. Our success results from our employees' diverse technical and business expertise, which fuels close collaboration and ongoing innovation. We know that our dynamic, global team of exceptional employees is essential to our continued growth.

Join the Lam Research team, where you can play a vital role in the future of electronics and write your own success story.

Data Engineer

Date:  Nov 25, 2021

Fremont, CA, US, 94538

Req ID:  165074

Job Responsibilities


• Build data pipelines and infrastructure components

• Clean and process datasets for data science modeling.

• Build tools to optimize data engineering workflow.

• Aggregate disparate datasets for data science use cases.

• Work closely with product lead and technical lead to capture software requirements and scope.



• Excellent knowledge in Object-Oriented software design and implementation.


- 7+ years of related experience with a Bachelor degree in Computer Science or Computer Engineering; or 5+ years' 

experience with a Master degree in Computer Science or Computer Engineering; or 3+ years' experience with a PhD in Computer Science.

• Experience building an optimizing 'big data' data pipelines, architecture, and datasets.

• Working knowledge of message queuing, stream processing, and highly scalable data store.

• Experience in enterprise analytics software development in cloud computing infrastructure.

• Strong analytical, problem solving and troubleshooting skills.

• Experience with relational SQL and NoSQL database.

• Experience with big data tools: Spark, Kafka, etc.


Preferred Qualifications

• Experience in Java, Python and SQL.

• Excellent verbal and written communication skills.

• Ability to work and thrive in a fast-paced environment, learn rapidly and master diverse technologies and techniques.

• Experience with software development tools, such as Confluence, Git, Bitbucket, Jira, Maven, Jenkins, etc.

• Experience with ML/DL software infrastructure and applications: Torch, TensorFlow.

• Experience with Azure Cloud services.

• Experience with server-side web application frameworks: Spring Boot.

• Knowledge in computer system architecture, including process, memory, storage and networking management.

• Knowledge in semiconductor equipment manufacturing industry is a plus.

• Knowledge in Docker and Kubernetes is a plus.

Nearest Major Market: San Francisco
Nearest Secondary Market: Oakland

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