Senior Software Engineer - Data Modeling

Responsibilities

• Participate in building a data and HPC platform that can meet the scalability and processing needs of Research and Research Systems
• Participate in deep architectural discussions to ensure solutions are designed for successful deployment, scale, security, cost effectiveness and high availability
• Implement features and capabilities of our next generation system, accelerating the deployment time of solutions within a collaborative development environment
• Achieve high quality metrics through automated testing, robust operational tooling and reliable designs
• Lead/participate in code reviews, and contribute actively during pair programming sessions aimed at enhancing overall quality of delivered artifacts
• Participate in support rotations of our production systems for our Research stakeholders

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering or a related discipline; at least 5 years of prior experience, financial services exposure is a plus
• Proven record of delivering solutions that are used in a production environment at scale, with high degrees of parallelism, accuracy and uptime requirements
• Proven record of building high-performance cloud native solutions on public cloud (AWS preferred)
• Experience with container technologies like Docker, Kubernetes, Helm
• Experience working with data lakes, data warehousing, and/or database systems, including data frameworks like Trino, Spark, Pandas/Polars, Iceberg, etc.
• Ability to write elegant code, and comfortable with picking up new technologies independently
• 3+ years of experience building data centric applications in Python
• Comfortable working with existing SQL and C# codebases
• Experience leading projects or teams is a plus
• Experience with Helm and Infrastructure as Code tools (Terraform preferred) is a plus

Pay

The base salary range for this position is $135,000 - $325,000 per year.