Data Engineer

Overview We are looking for a Data Engineer who can help us understand, clean, manage, and share the data that guides our trading. At Jane Street, having a thorough and accurate understanding of data is at the core of the work we do. Using our mix of in-house and open-source software, you will analyze datasets gathered from a variety of sources, checking for anomalies, matching formats and symbologies, automating ETL processes, and generally making it easier for our traders to generate valuable insights. You should be excited about digging deep into datasets and explaining your findings to different types of colleagues, working collaboratively with traders and software engineers. While prior experience with financial data would be nice, we don’t expect you to have a finance background. We’re happy to hire talented engineers and teach them what they need to know. Responsibilities Analyze datasets gathered from a variety of sources, checking for anomalies, matching formats and symbologies, automating ETL processes, and generally making it easier for our traders to generate valuable insights. Collaborate with traders and software engineers; explain findings to colleagues with different backgrounds. Qualifications Top-notch programming skills in any language (Python a plus). Experience with using SQL and relational databases. Experience with generating data visualizations. Meticulous approach to data quality and validation. Clear and concise communication skills; able to efficiently analyze and deconstruct technical problems. No finance background required; we’re happy to hire talented engineers and teach them what they need to know. #J-18808-Ljbffr