location_0_addressRegionName

location_0_addressCountryName

ONSITE

PERMANENT

FULL_TIME

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ADAPTED_NOW

UNKNOWN

YEAR

Data Engineer

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. Coordinate between different internal teams (Data Science, Data Engineering, Data Research, Data Sourcing, Product) to plan and execute different steps of product development.

Salary

KBSkills

ACTIVE

Data Engineer II, MI Data with Point72, L.P. (New York, N.Y.)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: svcRecruiting@Point72.com  Must reference job ID #63. #LI-DNI

Point72, L.P.

Data Engineer II, MI Data

salaryMin

salaryMax

payPeriod

currency

Amazon Web Services (AWS)

Application Programming Interface (API)

Best Practices

Big Data

Career Development

Computer Engineering

Computer Programming

Computer Science

Cross-Functional

Data Management

Data Processing

Data Science

Data Sets

Graph Theory

Industrial Development

Information Retrieval

Intellectual Property (IP)

Mentoring

Modeling Languages

Natural Language Processing (NLP)

Neo4j

Product Development

Python Programming/Scripting Language

SPARQL

SQL (Structured Query Language)

Scala Programming Language

Scientific Research

Secure/SSH File Transfer Protocol (SFTP)

Statistical Modeling

Structured Data

Unstructured Data

User Interface/Experience (UI/UX)

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