Data Engineer

3 days ago


Oakland, California, United States Elicit Full time
About Elicit

Elicit is an innovative AI research assistant that leverages language models to empower researchers in making informed decisions. Our mission is to increase the amount of good reasoning in the world by providing a scalable and reliable platform for literature review and research tasks.

Our Vision

We envision a future where Elicit is the go-to platform for researchers, offering a comprehensive and up-to-date database of scholarly sources. Our goal is to make Elicit the most complete and accurate database of academic literature, enabling researchers to make better decisions and drive progress in their fields.

Job Description

We are seeking an experienced Data Engineer to join our team and help us achieve our mission. As a Data Engineer at Elicit, you will be responsible for designing and implementing robust, scalable solutions to handle our growing data needs while maintaining high performance and data quality.

Key Responsibilities:

  • Design and implement efficient data pipelines to process, deduplicate, and index hundreds of millions of research papers
  • Optimize Spark jobs and data pipelines to handle large amounts of data efficiently
  • Develop processes to handle regular updates from multiple academic paper sources, ensuring efficient deduplication
  • Maintain and improve data quality by implementing robust data quality management processes

Requirements:

  • 5+ years of experience as a data engineer building core datasets and supporting business verticals with high data volumes
  • Strong proficiency in Python (5+ years experience)
  • Experience with architecting and optimizing large data pipelines with Spark
  • Strong SQL skills, including understanding of aggregation functions, window functions, UDFs, self-joins, partitioning, and clustering approaches
  • Experience with Parquet file formats and other columnar data storage formats
  • Strong data quality management skills
  • Ability to balance technical expertise with creative problem-solving

What We Offer:

  • Competitive salary and equity package
  • Flexible work environment with remote work options
  • Opportunity to work on a cutting-edge AI research assistant platform
  • Collaborative and dynamic team environment

How to Apply:

If you are a motivated and experienced data engineer looking to join a dynamic team, please submit your application, including your resume and a cover letter, to [insert contact information].


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