Senior Engineer, Data Platform Technology

Balyasny Asset Management

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$175,000–$225,000 / yr
Posted
55 days ago
Freshness
Confirmed live 2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $200k
$112k most similar roles pay here $237k

This role pays more than 60% of similar roles. Most pay $151,000–$219,131 — the shaded band above. At the midpoint, this role pays about $200k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About Balyasny Asset Management

Balyasny Asset Management (BAM) is a global multi-manager hedge fund offering diversified investment strategies across equities, macro, commodities, and systematic trading.

Balyasny Asset Management currently has 59 open roles on FindRole.

Listed pay typically runs $175,000–$250,000 across 30 roles with salary data.

Most-posted roles

View all roles at Balyasny Asset Management

At a glance

TL;DR · Senior Engineer, Data Platform Technology

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As a Senior Engineer, Data Platform Technology, you will join the team to build and maintain scalable data platforms and pipelines that power analytics, applications, and decision-making across the organization. You will develop cloud-first ingestion processes using Python and SQL, engineer data models for market and alternative datasets, and build services to enhance the Data Acquisition Platform. Your daily work involves maintaining alerting systems, authoring tests for data quality, and building AI-enabled workflows for metadata generation and natural-language access. You will utilize Snowflake, NoSQL, and orchestration tools like Airflow, Luigi, Oozie, or NiFi within AWS, Azure, or Google Cloud environments. The role focuses on solving complex problems involving large datasets, time series data, and temporal queries to provide end-to-end solutions for analysts, quants, and portfolio managers while ensuring schema integrity and business logic across hundreds of datasets.

What does a Engineer earn?

Median $185000 from 249 postings across 48 companies.

See salary data

Skills

Python SQL Snowflake Airflow AWS Azure Google Cloud NoSQL Go Time Series Data Data Quality Frameworks

What you'll do

  • Develop cloud-first data ingestion processes using Python and SQL.
  • Engineer data models and infrastructure for diverse market and alternative datasets.
  • Design and build services and plugins to enhance the Data Acquisition Platform.
  • Maintain alerting systems to ensure smooth operations for hundreds of datasets.
  • Author tests to validate data quality and platform stability.
  • Build and support AI-enabled workflows for automated dataset onboarding and metadata generation.
  • Design and evolve rules-based data quality frameworks to validate completeness and schema integrity.
  • Investigate and resolve time-sensitive data incidents.

What we're looking for

  • Bachelor's or Master's degree in Computer Science or a related field.
  • Strong analytical, data, and programming skills including Python, SQL, and NoSQL.
  • Strong experience with Snowflake and building analytics-ready datasets in a modern cloud data warehouse.
  • 2+ years of experience orchestrating pipelines with technologies such as Airflow, Luigi, Oozie, or NiFi.
  • 1+ years of experience with cloud technologies (AWS, Azure, or Google Cloud).
  • Solid understanding of time series data and temporal queries.
  • Experience with large datasets and techniques to architect them for performance.
  • Experience with Go (preferred); aptitude for designing infrastructure/tools for Data Scientists (preferred); financial industry experience (preferred).

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