Data Engineer II, MI Data - Point72, L.P. : Job Details

Data Engineer II, MI Data with Point72, L.P. (New York, N.Y.)Do you have the following skills, experience and drive to succeed in this role Find out below.Design and build solutions that enable investment professionals to effortlessly, extract insights from large, complex compliance approved structured and unstructured data sets. Work on Named Entity Recognition and Theme Extraction methods. Work with internal stakeholders and internal UI/UX team to add the results to research analysts day to day workflow using technologies such as FastAPI, embedding models, etc. Work on Retrieval Augmented Generation applications to allow retrieval and content generation on proprietary data using technologies such as vendor database and streamlit. Work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of data assets in the Energy and Industrials sectors. Develop and support big data processing pipelines including but not limited to ingestion, transformation, load, and end-customer delivery. Mentor new joiners and interns to pick up best practices and ways of supporting infrastructure and sector work. Serve as person on support, keeping all of our data pipelines running smoothly and answering any platform related questions. Coordinate between different internal teams (Data Science, Data Engineering, Data Research, Data Sourcing, Product) to plan and execute different steps of product development. This job is fully in person and cannot be done remotely.Requires a Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field. Position requires experience (3 years with a Bachelor's or 1 year with a Master's). Must have some experience in each of the following skills: Python development. Pandas, NumPy, Matplotlib. Writing advanced SQL queries. Design and implementation of end-to-end data pipelines. Transferring large unstructured datasets into valuable investment research inputs. Big data technologies –Spark, Databricks, Delta, and Polars. Spark or Scala. Graph databases –neo4j, cypher, graph theory, GQL and SPARQL is a plus. Understanding of statistics and advanced modeling techniques. Understanding of Natural Language Processing models. AWS services. Write code that pulls data from APIs, SFTP, s3. Track record of delivering novel and innovative solutions to challenges. Ability to work cross-functionally and communicate problems and solutions effectively. Salary range is $190,000.00 to $280,000.00.Email Resumes to: [email protected] Must reference job ID #63.#LI-DNI