Data Engineer

Atlas Search; New York (NY); Hybrid; USD 140,000 - 165,000; Full time

Job summary

Atlas Search is looking for a Data Engineer to join their data and technology team in New York City. This role offers an exciting opportunity to work on a cutting-edge market data platform and provide solutions for investment and analytics in a hybrid work environment.

The successful candidate will have responsibilities including designing data pipelines and supporting tools for financial data management. A competitive salary of $140,000 to $165,000 is offered, depending on experience and skills.

Qualifications

• 4–6 years of hands-on experience in software development or data engineering.
• Ability to work with a cross-functional data and investment team.

Responsibilities

• Design, build, and maintain robust data pipelines for diverse data sets.
• Develop automation solutions to enhance data platform efficiency.
• Partner with Product and Portfolio Managers to deliver tailored data solutions.

Skills

Python

SQL

Communication

Collaboration

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS

Snowflake

Trino

ArcticDB

KDB+

Job description

Our client, a global investment management firm, is seeking a Data Engineer to join their data and technology team. This position offers the chance to work on a state‑of‑the‑art market data platform and deliver solutions for investment, analytics, and business teams in a fast‑paced, high‑impact environment. The role sits in New York City and is currently operating on a hybrid schedule – 4 days in office, and 1 day remote.

The annual base salary range is $140,000 to $165,000. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. Details about eligibility for bonus compensation (if applicable) will be finalized at the time of offer.

Job Responsibilities

• Design, build, and maintain robust data pipelines and tools for real‑time, unstructured, and alternative data sets
• Develop automation solutions to increase efficiency, quality, and resilience of the data platform
• Build and support tools for onboarding, analysis, validation, and lifecycle management of financial data
• Partner with Product and Portfolio Managers to deliver end‑to‑end data solutions tailored to their requirements
• Work with time‑series databases (e.g. ArcticDB, KDB+) to store, query, and manage dense time‑series data efficiently
• Create and implement data quality and validation tools to ensure data integrity and robust error handling
• Identify, investigate, and resolve data issues; liaise with data providers and business users for seamless data flows

Job Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 4–6 years of hands‑on experience in software development or data engineering
• Proficient in Python and SQL
• Excellent communication and collaboration skills; able to work with a cross‑functional data and investment team

Preferred Skills

• Knowledge of fixed income and financial products (options, swaps, futures, etc.)
• Familiarity with AWS ecosystem and cloud‑based data infrastructure
• Experience with streaming pipelines and OLAP platforms (Snowflake, Trino)
• Awareness of key financial vendors and data providers (Bloomberg, Refinitiv, FactSet)
• Experience with time‑series databases (ArcticDB, KDB+)
• Background working collaboratively with trading, data, and infrastructure teams