Senior Software Engineer, Strategy Research Analytics

Responsibilities

• Own implementation and on-going operation of recurring analytics pipelines (e.g., Airflow DAGs) including monitoring, alerting, and reliability improvements
• Lead architectural evolution of the analytics platform, including schema standardization, DAG consolidation, and modernization of legacy workflows
• Drive cross-team technical alignment when consolidating duplicated or inconsistent analytics outputs
• Build and maintain base analytics tables and metrics with strong schema discipline and reproducible computation
• Define and implement reliability standards (SLOs, observability patterns, runbooks) adopted across analytics pipelines
• Improve transparency and usability through documentation, discoverability, and clear data contracts
• Optimize distributed compute and SQL query performance; design data layouts (partitioning, file sizing) for columnar storage

Requirements

• Bachelor's degree in Computer Science or equivalent professional experience
• 6+ years of experience building and operating analytics or data infrastructure systems
• Strong proficiency in Python and SQL
• Deep experience with distributed query engines and large-scale compute systems
• Demonstrated ownership of large-scale or mission-critical data infrastructure
• Strong data modeling expertise, including schema design, partitioning strategy, and reproducibility considerations
• Expertise in metadata management, data lineage, and applying robust data governance principles

Preferred Qualifications

• Experience leading architectural migrations or major refactors of data platforms
• Familiarity with AWS cloud technologies and on-prem compute clusters (e.g., Slurm, SSH, Unix)
• Exposure to quantitative research or machine learning environments