Data Engineer - Meteorology

Miami, FL - 1111 Brickell

Millennium

Millennium is a global, diversified alternative investment firm with the mission to deliver high-quality returns for our investors.

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Data Engineer - Meteorology

We are looking for an experienced Data Engineer with expertise in Meteorology to enhance our next-generation commodity technology platform. This role offers excellent growth opportunities and the chance to work with cutting-edge technologies in a dynamic environment.

Responsibilities:

  • Develop research and trading applications using Python and AWS technologies.
  • Create and maintain data pipeline architecture.
  • Extract, transform, and load data from various sources using Python and SQL.
  • Provide users access to datasets using REST and Python APIs.
  • Analyze and manage large datasets from market and alternative data vendors.
  • Develop high-resolution NWP models for short-term power desks.
  • Communicate data insights to investment teams and develop visualization dashboards.
  • Back test datasets to assess their correlation to company KPIs.

Mandatory Requirements:

  • 3+ years’ experience with a Masters or 5+ years with a Bachelors degree in Computer Science, Statistics, Informatics, Information Systems, Meteorology, or related field.
  • 2+ years of professional experience with Python application development or data analysis libraries such as Pandas, NumPy, SciPy, etc.
  • Knowledge of meteorological variables, concepts, and industry-standard practices.
  • Experience with weather data types such as GRIB, NetCDF, and Zarr.
  • Proficient in writing SQL queries and hands-on experience with ETL processes.
  • Excellent communication skills and ability to work in a fast-paced environment.

Preferred Requirements:

  • Experience in financial institutions, preferably in commodities.
  • Familiarity with quantitative finance and electronic trading concepts.
  • Familiarity with AWS technologies (S3, Athena, SQS, Batch, Lambda).
  • Experience with DevOps practices (Docker/Kubernetes).

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: APIs Architecture Athena AWS Computer Science Data analysis DevOps Docker ETL Finance KPIs Kubernetes Lambda NumPy Pandas Python Research SciPy SQL Statistics Zarr

Perks/benefits: Career development Startup environment

Region: North America
Country: United States

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