Tech Stack

Description

You will build and maintain data pipelines and infrastructure that power our quantitative investment business, working closely with investment teams to ensure data integrity and enable informed decision-making.

Requirements

• 3+ years of experience as a Data Engineer
• Professional experience using Snowflake
• Professional experience with Dagster and dbt
• Strong coding skills in Python, SQL, and PHP
• Experience with complex data modeling
• Ability to grapple with quantitative concepts
• Comfort working individually and collaboratively in a fast-paced environment
• Excellent verbal and written communication skills
• Strong ownership of work
• Comfort with occasional on-call rotation

Responsibilities

• Build out proprietary systems for trading speculative wholesale power contracts
• Own and maintain data pipelines to ingest and deliver data from various sources into databases using ELT/ETL patterns
• Define downstream business marts used as critical inputs into investment decisions
• Embed validation, lineage, and anomaly detection into data pipelines
• Implement data management policies across pipelines and datasets
• Partner closely with investment engineers and investment teams to understand data needs
• Identify process inefficiencies and proactively create solutions
• Collaborate with software engineers to design and maintain reliable data infrastructure
• Leverage AI tools to accelerate development