Data Engineer

Company Overview

Soros Fund Management LLC (SFM) is a global asset manager and family office founded by George Soros in 1970. With $28 billion in assets under management (AUM), SFM serves as the principal asset manager for the Open Society Foundations, one of the world’s largest charitable foundations dedicated to advancing justice, human rights, and democracy.

Distinct from other investment platforms, SFM thrives on agility, acting decisively when conviction is high and exercising patience when it’s not. With permanent capital, a select group of major clients, and an unconstrained mandate, we invest opportunistically with a long-term view. Our teams operate with autonomy, while cross-team collaboration strengthens our conviction and empowers us to capitalize on market dislocations.

At SFM, we foster an ownership mindset, encouraging professionals to challenge the status quo, innovate, and take initiative. We prioritize development, enabling team members to push beyond their roles, voice bold ideas, and contribute to our long-term success. This culture of continuous growth and constructive debate fuels innovation and drives efficiencies.

Our impact is measured by both the returns we generate and the values we uphold, from environmental stewardship to social responsibility. Operating as a unified team across geographies and mandates, we remain committed to our mission, ensuring a meaningful, lasting impact.

Headquartered in New York City with offices in Greenwich, Garden City, London, and Dublin, SFM employs 200 professionals.

Job Overview

We are looking for an experienced Data Engineer who excels at building and refining robust data systems. In this role, you'll contribute to a range of projects, from developing efficient data pipelines for trading and risk management to modernizing legacy systems with cloud-based tools like Snowflake and DBT. You’ll work closely with both technical and non-technical teams, ensuring that complex solutions are clearly communicated and effectively implemented. If you value a balanced approach that combines thoughtful innovation with high-quality execution, this opportunity offers the chance to play a key role in strengthening our data infrastructure while contributing to our broader mission.

Key Relationships

• Reports To: Head of Core Architecture and Data Engineering (CADE)
• Other Key Relationships: Chief Data Officer, Head of Development, Quant Team, Trading Staff, Risk Managers

Major Responsibilities

• Design, develop and optimize data pipelines for trading, alpha generation, research, risk management, accounting, and more.
• Build new golden source datasets such as security master, account master, and price master which are critical to the firm.
• Develop shared Python libraries for data APIs, logging, and other core functionalities.
• Expand and tune our AI offering for LLM search & summarization of financial documents and market commentary.
• Ensure high data quality and observability using modern data governance tools.
• Optimize large-scale data processing workflows for efficiency and performance.
• Collaborate with technical and non-technical teams to understand data requirements and implement effective solutions.
• Support and troubleshoot data pipelines, APIs, and database performance issues.

Requirements

• 6+ years of development experience with 2+ years focused on data engineering.
• Bachelor’s degree in computer science or related field.
• Great communication and capable of cross-functional collaboration.
• Excellent Python and SQL skills for data processing and automation.
• Extensive ETL/ELT pipeline experience and expertise.
• Strong understanding of data structures, data modeling, efficient query design and performance tuning in a SQL database such as Postgres or MS SQL Server.
• Familiarity with data tra