Senior Data Engineer

San Francisco, California, United StatesRemoteFull TimeSeniorPosted 2 months ago

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Role summary

YC Bench is seeking a Senior Data Engineer for a full-time, remote position. The role involves designing, developing, and maintaining scalable data systems, including data pipelines, warehouses, and analytical infrastructures. Key responsibilities include ensuring efficient ETL processes and enabling actionable analytics for forecasting and business insights. The engineer will collaborate with cross-functional teams to meet business and technical requirements. Qualifications include proficiency in data engineering, data modeling, ETL, data analytics, Python, SQL, big data technologies (Spark/Hadoop), and cloud platforms (AWS, GCP, Azure). A Bachelor's or Master's degree in a related field and strong problem-solving skills are required.

Company Description
YC Bench is a live benchmarking platform that evaluates forecasting models to predict which Y Combinator startups will outperform their batch peers. The platform provides real-time insights that help assess emerging trends and identify high-performing companies. Focused on innovation and data-driven solutions, YC Bench delivers a valuable resource to investors, entrepreneurs, and industry leaders looking to make informed decisions about startups.
Role Description
This is a full-time, remote position for a Senior Data Engineer. The Senior Data Engineer will design, develop, and maintain scalable data systems, including data pipelines, warehouses, and analytical infrastructures. They will ensure the efficient extraction, transformation, and loading (ETL) of data while enabling actionable analytics for forecasting and business insights. The role involves close collaboration with cross-functional teams to ensure data solutions meet business and technical requirements.
Qualifications

Proficiency in Data Engineering processes, including building and optimizing data pipelines
In-depth knowledge of Data Modeling and Data Warehousing concepts
Experience with Extract, Transform, Load (ETL) processes and tools
Strong skills in Data Analytics and interpreting data for actionable insights
Proficiency with programming languages such as Python, SQL, and familiarity with big data technologies like Spark or Hadoop
Experience with cloud platforms like AWS, Google Cloud, or Azure
Bachelor's or Master’s degree in Computer Science, Data Science, or a related field
Strong problem-solving skills and the ability to work collaboratively in a remote setting

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