Staff Data Engineer

Gemini Trust Company LLC

New York, United States
Base: $168,000 - $240,000; bonus/equity: discretio...
On-site
8+ years of data engineering experience
Python and sql production code expertise
Scalable etl/elt pipeline design and optimization
The Data team serves as the engine powering insight, innovation, and trust across Gemini by transforming raw information into secure intelligence

Job Summary

  • The Data team serves as the engine powering insight, innovation, and trust across Gemini by transforming raw information into secure intelligence.
  • As a Staff Data Engineer, you will lead architectural initiatives to build high-scale systems that impact the entire organization while mentoring others.
  • The compensation package includes competitive starting pay, a discretionary annual bonus, long-term equity grants, and comprehensive health benefits.

Matching Summary

The Data team serves as the engine powering insight, innovation, and trust across Gemini by transforming raw information into secure intelligence.

Salary

Base: $168,000 - $240,000; Bonus/Equity: Discretionary annual bonus and new hire equity grant; Benefits: Comprehensive health plans, 401K matching, paid parental leave, flexible time off

Skills & Requirements

Must-have

  • 8+ years of data engineering experience
  • Python and SQL production code expertise
  • Scalable ETL/ELT pipeline design and optimization
  • Real-time streaming data solutions with Kafka or Flink
  • Large-scale data warehouse experience like Databricks or Snowflake
  • Orchestration framework proficiency such as Airflow

Nice-to-have

  • Experience with crypto, blockchain, or Web3 data
  • Infrastructure as code and containerization skills
  • Hands-on Databricks on AWS management experience
  • Strong cross-functional communication abilities
  • Proven track record in mentoring junior engineers

Key Requirements

  • 8+ years of experience in data engineering roles
  • Deep expertise in Python and SQL writing maintainable code
  • Hands-on experience with real-time or streaming data systems
  • Solid grounding in software engineering fundamentals and data modeling
  • Required to be in person twice a week at New York City office

Work Rights

Not specified

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