Senior Data Engineer – Investment Research (Python, Snowflake, AWS) NYC

Confidential Company; New York (NY); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Vacation & Holidays

Company Benefits

Onsite 4 days a week in New York

Job summary

Confidential, a progressive investment management firm, is expanding its engineering team in New York. We seek a Senior Data Engineer who will operate with data-architecture scope, leading end-to-end data projects in equity investment research.

You will design, build, and scale data-driven solutions for Data Science Analysts, collaborating with researchers and business partners in a fast-paced production environment. Onsite four days a week in NYC; Friday remote.

Qualifications

• 8+ years of experience as a Senior Data Engineer with strong Snowflake and Python.
• 2+ years as a Data Engineer within a top Investment Management Firm.
• Experience in Equity Investment Research space and real-time trading platforms.
• Expertise with LARGE Data Set Parallel Processing and multiple API query handling.
• Strong English communication and collaboration skills across cross-functional teams.

Responsibilities

• Lead end-to-end implementation of data projects.
• Design, build, and scale data-driven solutions for Data Science Analysts.
• Collaborate with data scientists, researchers, and business partners.
• Support production systems in a fast-paced environment.

Skills

Python

Snowflake

AWS

Airflow

AI-first

Education

MS preferred

Tools

AWS IAM

Lambda

CloudFormation

Job description

Fulltime role with Vacation & Holidays & Company Benefits – Onsite 4 days a week in New York, NY

Confidential, super progressive INVESTMENT MANAGEMNT firm with offices in 15+ countries.

This super progressive INVESTMENT MANAGEMENT firm is growing their engineering team and is looking for "Senior Data Engineer" that will function almost at a 'Data Architect' or 'Lead Data Engineer'-level and will be responsible for leading end-to-end implementation of projects.

As a member of the Science Research Technology team, this individual will help design, build, and scale data-driven solutions for the Data Science Analysts, especially in the Equity Investment space.

Must be strong in all of the following:

• Python
• Snowflake
• AWS (IAM, Lambda, CloudFormation)
• Airflow
• Progressive AI tool adoption in daily workflows. Have an "AI-first" mentality and be an Artificial Intelligence power user).

REQUIREMENTS

• Technical degree is required, MS preferred, along with 8+ years of experience as a Senior Data Engineer with strong Snowflake and Python.
• Must have 2+ years working as a Data Engineerwithin atop Investment Management Firm like State Street, Fidelity, Goldman, KKR, etc.
• Must have experience focusing on the "Equity Investment Research Space" and has helped Data Scientists determine company and stock values and trends. Must have dealt with real-time mission-critical investment trading platforms. This job will be serving Stock Trading and Equity Valuations.
• MUST be an expert dealing with LARGE Data Set Parallel Processing and Multiple API Query Handling.
• MUST BE a great English communicator with ability to work in a fast-paced, team-oriented environment supporting a business-critical production environment. Excellent collaboration skills with the ability to work with cross‑functional teams including data scientists, researchers, and business partners.
• Must work onsite in New York City 4 days a week, every week. Work from home on Fridays.
• For US-based candidates with the right skillset, we are able to transfer sponsorship of existing H-1B VISAs.