Senior Software Engineer, Data Solutions

MarketAxess, a leading financial technology company, is seeking a Senior Software Engineer for their Data Solutions team. This role sits at the intersection of data engineering, machine learning, and financial markets, focusing on transforming the fixed-income trading landscape through technology.

The position offers an exciting opportunity to work on mission-critical data infrastructure that powers quantitative research and trading analytics. You'll be responsible for designing and implementing both batch and streaming data pipelines, translating complex quantitative models from R into production-grade Python or Java code, and building scalable solutions using modern cloud and big data technologies.

Key technical aspects include working with AWS services (S3, EMR/Spark, Redshift/Athena/Glue), implementing streaming solutions using Apache Spark or Flink, and ensuring sub-second latency for market data processing. You'll also be involved in modernizing legacy ETL processes and operationalizing machine learning workflows.

The role requires a strong background in data engineering (5+ years experience) with expertise in Python, Java, and SQL. Knowledge of financial markets, particularly fixed income, is valuable but not mandatory if you have a strong quantitative background. You'll work in a collaborative environment, interfacing with quantitative researchers, product teams, and infrastructure groups.

MarketAxess offers a competitive compensation package ($150,000-$225,000) along with excellent benefits including hybrid work arrangements, comprehensive healthcare, generous 401(k) matching, and up to 20 weeks of paid parental leave. The company's Hudson Yards location provides a modern work environment with amenities like free lunch and onsite healthcare.

This is an opportunity to make a significant impact on the digital transformation of fixed-income markets while working with cutting-edge technologies and sophisticated financial products. The role combines technical challenges with business impact, making it ideal for engineers who want to apply their skills in a meaningful financial technology context.