AI& Data Engineer

San Francisco, California, United StatesRemoteFull TimePosted 2 months ago

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Role summary

YC Bench is seeking an AI & Data Engineer for a full-time remote position. The role involves designing, developing, and maintaining data engineering pipelines, performing ETL operations, and building data models and warehouses. The engineer will collaborate with cross-functional teams to analyze and optimize data infrastructure, ensuring data accessibility and reliability for business insights and forecasting models. Key qualifications include proficiency in data engineering, data modeling, ETL, data warehousing, data analytics, and programming languages like Python and SQL. Experience with cloud platforms is a plus.

Company Description
YC Bench is a live benchmarking platform focused on evaluating forecasting models to predict the performance of Y Combinator startups relative to their batch peers. By providing reliable insights into startup potential, YC Bench empowers data-driven decision-making within the startup ecosystem. The platform is dedicated to fostering innovation by leveraging data analytics and performance insights to track and predict success effectively. YC Bench is at the forefront of bridging data science and venture evaluation.
Role Description
This is a full-time remote role for an AI & Data Engineer. The individual in this role will design, develop, and maintain data engineering pipelines, perform Extract, Transform, Load (ETL) operations, and build data models and warehouses to support efficient analytics. They will work collaboratively with cross-functional teams to analyze and optimize data infrastructure and ensure data accessibility and reliability for business insights and forecasting models.
Qualifications

Proficiency in Data Engineering, including developing and maintaining robust data pipelines
Experience with Data Modeling and designing scalable data architecture
Expertise in Extract, Transform, Load (ETL) processes and tools
Skills in Data Warehousing to store and manage structured and unstructured data effectively
Competence in Data Analytics for insights generation and problem-solving
Strong programming skills in languages such as Python, SQL, or similar
Knowledge of cloud platforms (e.g., AWS, Azure, or GCP) is a plus
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Ability to work independently and collaborate with distributed teams

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