Base pay range
$600,000.00/yr - $900,000.00/yr
Location
Miami, FL. This role requires work out of the Miami office five days a week. Relocation expenses are covered.
Requirements
- Minimum 5+ years of Data Engineering experience.
- Experience at a Technology or Quantitative Finance firm.
- Excellent ETL, data manipulation, data pipeline, query design, and optimization skills.
- Strong Python, SQL, DBT, and Cloud experience.
- Ability to work with stakeholders and communicate needs across groups.
- Exposure to AI and Machine Learning advancements such as large language models, RAGs, and deep learning (NLP, vision, speech, signal processing, scientific computing).
- PhD or Masters in a related field.
Compensation
- $600,000 - $900,000+ Total Compensation depending on level of experience.
- Extensive Medical, Dental and Vision Insurance.
Responsibilities
- Own and maintain several large datasets used by Quantitative Researchers and Traders.
- Design, create, automate, and own internal data pipeline systems.
- Monitor data for quality and provide fixes as needed.
- Create performance schemas and queries, extract data, clean and normalize datasets, and load datasets for use by the Quantitative Teams.
Interview Process
To learn more, apply or contact Matt at Matt@Stabilesearch.com.