Senior Software Engineer – Data Strategy

Description

The Enterprise Product Platform (EPP) Data Strategy Group focuses on the end-to-end lifecycle of financial data. By integrating Data Acquisition, Data Platform, and API Platform initiatives, we develop high-performance, scalable solutions that power Bloomberg’s critical enterprise products. Our mission is to enhance transparency, efficiency, and integration capabilities for both buy-side and sell-side firms across various financial products and trading workflows.

Requirements

• 4+ years of experience with an object-oriented programming language such as C++, Python, or Java
• A bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent experience
• Strong knowledge of data structures, algorithms, and system design principles
• Experience designing or maintaining high-throughput distributed systems or APIs
• Strong collaboration skills and ability to thrive in a fast-paced, agile environment
• Experience with large-scale storage and caching technologies such as Comdb2, Redis, Cassandra, or Apache Iceberg
• Familiarity with messaging queues and streaming frameworks such as Kafka, RabbitMQ, or Apache Flink
• Experience in financial technology, including trading systems, order/execution management, or real-time analytics
• Contributions to large-scale distributed computing platforms or data lakehouse architectures such as Spark, Trino, or Parquet
• A passion for solving complex technical problems and building systems that empower other engineers

Qualifications

• Experience with financial technology, including trading systems, order/execution management, or real-time analytics
• Contributions to large-scale distributed computing platforms or data lakehouse architectures such as Spark, Trino, or Parquet
• A passion for solving complex technical problems and building systems that empower other engineers

Skills

• Object-oriented programming languages such as C++, Python, or Java
• Data structures, algorithms, and system design principles
• Distributed systems and APIs
• Large-scale storage and caching technologies such as Comdb2, Redis, Cassandra, or Apache Iceberg
• Messaging queues and streaming frameworks such as Kafka, RabbitMQ, or Apache Flink
• Financial technology experience, including trading systems, order/execution management, or real-time analytics
• Large-scale distributed computing platforms or data lakehouse architectures such as Spark, Trino, or Parquet
• Solving complex technical problems and building systems that empower other engineers

Benefits

We offer a comprehensive benefits package including:

• Merit increases
• Incentive compensation (exempt roles only)
• Paid holidays
• Paid time off
• Medical, dental, and vision insurance
• Short and long-term disability benefits
• 401(k) match
• Life insurance
• Variety of wellness programs

Pay

$160,000 - $240,000 USD Annual + Benefits + Bonus

Schedule

Full-time