Senior Engineer, Data Platform Technology

Balyasny Asset Management

Confirmed live today High trust

Quick summary

Work type
On-site
Location
London, United KingdomNew York, NY
Salary
$175,000–$225,000 / yr
Posted
100 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $200k
$107k $238k
below market most similar roles pay here above market

This role pays more than 63% of similar roles. Most pay $151,000–$214,000 — the blue band above. At the midpoint, this role pays about $200k versus about $182k 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 53 open roles on FindRole.

Listed pay typically runs $175,000–$250,000 across 37 roles with salary data.

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View all roles at Balyasny Asset Management

At a glance

TL;DR · Senior Engineer, Data Platform Technology

The Senior Engineer, Data Platform Technology will join the team to build and maintain scalable data platforms and pipelines that power analytics, applications, and decision-making. The role involves developing cloud-first data ingestion processes, engineering data models for market and alternative datasets, and building services for the Data Acquisition Platform. Key responsibilities include maintaining alerting systems, authoring tests for data quality, and building AI-enabled workflows for metadata generation and natural-language data access. The candidate must utilize Python, SQL, NoSQL, Snowflake, and orchestration tools like Airflow, Luigi, Oozie, or NiFi within AWS, Azure, or Google Cloud environments. This position solves technical problems related to managing large-scale structured and unstructured datasets, ensuring schema integrity, and providing end-to-end data solutions for Analysts, Quants, and Portfolio Managers.

What does a Engineer earn in New York?

Median $200000 from 36 postings across 15 companies.

See salary data

What you'll do

  • Develop cloud-first data ingestion processes using Python and SQL.
  • Engineer data models and infrastructure for various 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 dataset onboarding and metadata generation.
  • Design and evolve rules-based data quality frameworks to validate completeness and schema integrity.
  • Investigate and defuse 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 in 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 such as 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); financial industry experience (preferred).

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