Engineer, Enterprise Data Technology

Balyasny Asset Management

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Warsaw, Poland
Posted
43 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $175k
$119k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $129,449–$220,462.

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 · Engineer, Enterprise Data Technology

As an Engineer, Enterprise Data Technology, you will join the Enterprise Data Technology team to build and support services and platforms providing reliable research and reference data for trading, risk, operations, and analytics. You will design, build, test, deploy, and maintain production software while collaborating with stakeholders to translate requirements into durable solutions. Your daily work involves developing distributed systems, data models, and integrations while participating in code reviews and investigating production issues. The technology stack includes Rust, Python, .NET/C#, SQL, NoSQL, and cloud platforms, alongside messaging technologies like Kafka or Solace. You will solve complex data and workflow problems within a service-oriented environment. Key competencies include experience with REST APIs, real-time data integrations, and the software development lifecycle to ensure high reliability and risk management across the firm's internal data ecosystem.

What does a Engineer earn?

Median $185000 from 249 postings across 48 companies.

See salary data

What you'll do

  • Build, test, deploy, and maintain services for the firm's research and reference-data ecosystem.
  • Translate business requirements from stakeholders into reliable software solutions.
  • Design and evolve distributed systems, data models, and integrations.
  • Write clean, well-tested code and participate in peer code reviews.
  • Investigate production issues and provide second-line support to deliver durable fixes.
  • Balance delivery speed with technical design, system resilience, and risk management.
  • Develop a deep understanding of the business domain and internal data usage.

What we're looking for

  • 3 to 5 years of professional software engineering experience.
  • Strong Python experience.
  • Familiarity with at least one compiled language; C#/.NET or Rust is preferred.
  • Solid understanding of software design, testing, and the software development lifecycle.
  • Experience building backend or service-oriented applications, including REST APIs and real-time data integrations.
  • Familiarity with distributed systems, including concurrency, reliability, observability, and failure handling.
  • Experience with SQL, relational databases, and data modeling; exposure to SQL Server, PostgreSQL, Snowflake, and NoSQL is a plus.
  • Familiarity with a major cloud platform and modern development practices like Git, CI/CD, and automated testing.

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