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Data Engineer

1 hour, 26 minutes ago
United States
Full-time
Senior
Data Engineer
Software Development
Apache Spark Databricks dbt Docker FastAPI Kubernetes PostgreSQL Python Snowflake SQL SQL Server
Apply Now
Soros Fund Management

Soros Fund Management

Soros Fund Management is a global asset manager and family office that specializes in investing across a diverse range of strategies and asset classes, focusing on long-term capital growth and high-quality returns.

Capital Markets
Founded 1970
View All Jobs 8

Description

  • Design, develop, and optimize data pipelines for trading, alpha generation, research, risk management, accounting, and related functions.
  • Build and maintain golden source datasets such as security master, account master, and price master.
  • Develop shared Python libraries for data APIs, logging, and other core platform capabilities.
  • 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 gather data requirements and implement solutions.
  • Support and troubleshoot data pipelines, APIs, and database performance issues.
  • Modernize legacy systems using cloud-based data tools such as Snowflake and DBT.

Requirements

  • 6+ years of development experience, including 2+ years focused on data engineering.
  • Bachelor’s degree in computer science or a related field.
  • Excellent Python and SQL skills for data processing and automation.
  • Extensive ETL/ELT pipeline experience.
  • Strong understanding of data structures, data modeling, query design, and performance tuning in SQL databases such as Postgres or MS SQL Server.
  • Familiarity with data transformation tools such as DBT.
  • Experience building and deploying containerized applications with Docker and Kubernetes in cloud environments.
  • Strong communication skills and ability to collaborate cross-functionally.
  • Excellent problem-solving skills.
  • Preferred: hands-on experience with Snowflake, Databricks, or similar platforms.
  • Preferred: financial market data literacy across equities, fixed income, futures, and options.
  • Preferred: exposure to data observability tools such as OpenMetadata and Great Expectations.
  • Preferred: experience designing dashboards in a business intelligence tool.
  • Preferred: skill with a Python web API framework such as FastAPI.
  • Preferred: familiarity with distributed data processing technologies such as Dask and Spark.

Benefits

  • Base salary range of $150,000 to $225,000.
  • Eligibility for a discretionary year-end bonus.

Interested in this position?

Apply directly on the company website

Apply Now

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