Senior Data Engineer — Onsite Miami, AI-Ready Pipelines

Stabile Search; United States; On-site; USD 600,000 - 900,000; Full time

Benefits offered by this job

Extensive Medical Insurance

Dental Insurance

Vision Insurance

Job summary

A leading data technology firm in Miami is seeking an experienced Data Engineer to manage large datasets and create internal data pipelines. Candidates should have over 5 years of experience in Data Engineering and a strong background in Python, SQL, and ETL processes. This role includes competitive compensation between $600,000 and $900,000 annually, along with comprehensive benefits, and requires working onsite. Relocation expenses are covered for suitable candidates.

Qualifications

• Minimum 5+ years of Data Engineering experience.
• Experience at a Technology or Quantitative Finance firm.
• Ability to work with stakeholders and communicate needs across groups.

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.

Skills

Data engineering

ETL

Data manipulation

Python

SQL

DBT

Cloud experience

AI and Machine Learning

AI and Machine Learning

Education

PhD or Masters in a related field

Job description

A leading data technology firm in Miami is seeking an experienced Data Engineer to manage large datasets and create internal data pipelines. Candidates should have over 5 years of experience in Data Engineering and a strong background in Python, SQL, and ETL processes. This role includes competitive compensation between $600,000 and $900,000 annually, along with comprehensive benefits, and requires working onsite. Relocation expenses are covered for suitable candidates.