Data Analytics Engineer

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs.
Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device.
This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.

Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems.
In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields.
In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The RoleWe are seeking a highly skilled Data Analytics Engineer with strong SQL expertise and experience in dashboard development using tools like Grafana.
This role is perfect for someone who enjoys working across data, engineering, and analytics to deliver high-quality solutions.
Skills and Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
3+ years of experience in data analytics/engineering or business intelligence.Ability to collaborate with cross-functional stakeholder.Strong background in SQL (writing complex queries and performance tuning).
Experience with creating data visualizations.Proficiency in Python for data manipulation and automation.
Strong problem-solving and analytical skills.Requirement Gathering:
Collaborate with stakeholders to understand business needs and translate them into actionable data solutions.

Dashboard Development:
Design, develop, and maintain interactive dashboards.SQL Expertise:
Write optimized and efficient SQL queries to extract, transform, and analyze large datasets.Performance Optimization:
Ensure dashboards and queries are optimized for scalability and speed.
Preferred Qualifications Experience with Postgres databases is a plus.
Experience with monitoring and alerting tools to ensure data pipeline health.
Full-Stack Development:
Implement small-scale web applications/APIs or UI components to support data analytics needs.
Working with Time Series Data:
Handle and analyze time series data efficiently.
Creating custom visualizations in web apps and/or python.
Experience working on hardware products.Why Join CerebrasPeople who are serious about software make their own hardware.
At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry.
With dozens of model releases and rapid growth, we've reached an inflection point in our business.
Members of our team tell us there are five main reasons they joined Cerebras:
Build a breakthrough AI platform beyond the constraints of the GPU.Publish and open source their cutting-edge AI research.Work on one of the fastest AI supercomputers in the world.Enjoy job stability with startup vitality.Our simple, non-corporate work culture that respects individual beliefs.