[Remote] Software Engineer, Strategy Research Analytics

Note: The job is a remote job and is open to candidates in USA. The Voleon Group is a technology company that applies AI and machine learning to real-world problems in finance. They are seeking a Software Engineer to lead the design, evolution, and long-term architecture of analytics infrastructure supporting research reporting and analysis across strategies, with a focus on reliable pipelines, standardized datasets, and improved query performance.

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
• Mentor engineers through design reviews and raise the bar for operational and modeling rigor

Skills

• • Bachelor's degree in Computer Science or equivalent professional experience • 3+ 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
• • 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

Benefits

• Highly competitive compensation and benefits packages
• Technology talks by our experts
• A beautiful modern office
• Daily catered lunches

Company Overview

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