Data Engineer Jobs
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High Frequency Sr. Quantitative Trader / Researcher
The Head of Research of a Legacy Prop Trading Team that specializes in High Frequency Trading (HFT) and Short Term Global Futures Strategies, encompassing both Marketing Making and Marketing Taking Strategies. This team is seeking an experienced Quantitative Researcher to lead their intraday research agenda and develop alphas that go beyond latency...
Research Engineer Data
Title: Research Engineer - Data Location: Miami, Fl (On-site)Salary: 175,000 - 275,000 + Bonus (Guaranteed on year 1)A globally leading financial services firm that is known for its commitment to excellence and high performant technology is looking to add a research engineer, who will be focused on the firm's ingestion of unique alternative data to...
Data Engineer/Data Analyst Crypto Firm
As a Data Engineer/Analyst, you'll be instrumental in turning raw blockchain and app data into actionable insights that drive product decisions, inform market strategies, and power core features across our products.Your responsibilities will include:Designing and maintaining scalable data pipelines for both on-chain and off-chain data sourcesPerfor...
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Data Engineer
Selby Jennings has partnered with a long-tenured and leading Boston-based energy trading firm on a search for a new Data Engineer.Key Responsibilities:Design, build, and maintain scalable and secure RESTful APIs using FastAPI and Python.Develop and optimize data pipelines and ETL processes to ingest, transform, and load data into Snowflake.Integrat...
Data Engineer
3+ years' experience in a Data Engineering role using SQL, PySpark and AirFlowStrong understanding in Data Lake and Data Warehouse design best practices and principlesPractical hands-on experience in cloud-based data services for ETL/ELT covering AWS EC2, S3 Storage and EMRAbility to manage and enhance infrastructure related to environments coverin...
Senior Quant Developer Crypto (m/f)
The RoleThis position is part of a dedicated crypto trading team, focused on developing and refining the quantitative technology infrastructure that powers systematic strategies. Key responsibilities include:Designing and building front-office systems that support the full trading lifecycle, including data ingestion, risk management, live execution...