Data Engineer

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. 

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. 

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

• 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. 

• 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. 

• 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 transformation tools such as DBT. 
• Experience building and deploying containerized applications (Docker, Kubernetes) in cloud environments. 
• Excellent problem-solving skills.

• Hands-on experience with Snowflake, Databricks, or similar.
• Financial market data literacy with product knowledge spanning equities, fixed income, futures, and options. 
• Exposure to data observability tools (OpenMetadata, Great Expectations, etc) 

• Experience designing dashboards in a Business Intelligence tool. 

• Skill with a Python web API framework such as FastAPI.

• Familiarity with distributed data processing technologies (Dask, Spark). 

We anticipate the base salary of this role to be between $150,000-225,000. In addition to a base salary, the successful candidate will also be eligible to receive a discretionary year-end bonus.  

In all respects, candidates need to reflect the following SFM core values:

Smart risk-taking   //   Owner’s Mindset   //   Teamwork   //   Humility   //   Integrity

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