Senior Software Engineer, Strategy Research Analytics

New
Remote, United StatesFull-TimeSenior
Salary not disclosed
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Job Details

Experience
6+ years of experience
Required Skills
AWSPythonSQLAirflow

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
  • 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

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
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