Lead Data Engineer

Evolve Group

New York (NY)

On-site

USD 180,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Growth opportunities
Work with top minds in finance

Job summary

A leading trading firm is seeking a Lead Data Engineer to architect and optimize data infrastructure. In this hands-on role, you'll build data pipelines and ensure high standards for data quality. The ideal candidate has deep expertise in Python, SQL, and cloud platforms, with strong experience in ETL processes. This position offers competitive compensation and growth opportunities in a fast-paced, data-driven environment.

Qualifications

  • Deep expertise in Python, SQL, and cloud platforms.
  • Strong experience with ETL processes and pipeline automation.
  • Familiarity with data modeling and scheduling.

Responsibilities

  • Own large-scale structured and unstructured datasets.
  • Build, automate, and maintain robust data pipelines.
  • Collaborate with research and business teams.

Skills

Python
SQL
AWS
GCP
Azure
ETL processes
Data normalization
Containerization
Airflow
Excellent communication

Education

Degree in Computer Science, Engineering, Mathematics

Job description

This range is provided by Evolve Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $250,000.00/yr

A world-leading trading firm is seeking a Lead Data Engineer to architect, scale, and optimize the data infrastructure powering its multi-billion-dollar systematic trading business. In this high-impact role, you’ll work alongside quantitative researchers and data scientists to design advanced data pipelines that unlock new sources of alpha.

This is a hands-on engineering role with deep product ownership — ideal for someone passionate about building fast, reliable, and scalable systems in a data-driven environment.

Responsibilities:

  • Own large-scale structured and unstructured datasets across multiple modalities
  • Build, automate, and maintain robust data pipelines in a cloud-native environment
  • Collaborate with research and business teams to identify and onboard new datasets
  • Develop tooling for data exploration, monitoring, and quality assurance
  • Optimize schema design, query performance, and pipeline reliability
  • Set up alerts, health checks, and validation systems to ensure data quality

Required Skills & Experience:

  • Deep expertise in Python, SQL, and cloud platforms (e.g., AWS, GCP, or Azure)
  • Strong experience with ETL processes, data normalization, and pipeline automation
  • Familiarity with data modeling, versioning, scheduling (Airflow), and containers
  • Excellent communication skills and the ability to work cross-functionally

Preferred Qualifications:

  • Experience with time-series data and financial data sources
  • Exposure to ML pipelines or research workflows
  • Experience with DBT or other modern data tooling
  • Degree in Computer Science, Engineering, Mathematics, or related field

Why Apply?

  • Collaborate with some of the top minds in quantitative finance
  • Drive high-impact projects at the core of a market-leading trading platform
  • Join a fast-paced, data-first environment with cutting-edge infrastructure
  • Competitive compensation and long-term growth opportunities
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Industries
    Financial Services, Capital Markets, and Data Infrastructure and Analytics

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