Quantitative Developer, Data Optimization

Quantitative Developer, Data Optimization

Overview:
Join our client’s dynamic team as a Quantitative Developer specializing in Data Optimization. In this pivotal role, you will be instrumental in transforming raw data into high-performance, application-ready datasets that power advanced quantitative analysis. Emphasizing data integrity, efficiency, and reliability, you’ll help the team operate with greater speed and confidence, supporting innovative financial and investment strategies within a collaborative and inclusive environment that values diverse perspectives and creative problem-solving.

Compensation:
$132,000 - $198,000 annually

Responsibilities:

• Enhance middle-tier OLTP schemas and materialized tables to expedite data access for applications
• Overhaul complex bottom-up models and preprocessing workflows, focusing inputs on core data subsets
• Establish data agreements using Dagster and dbt, along with automated validation tests and drift detection mechanisms
• Develop and uphold data validation layers that prevent issues before deployment in production
• Partner closely with the Performance Tech Lead to ensure seamless data flow between storage systems and computational models
• Implement monitoring and alerting systems to track data pipeline performance and latency
• Record data lineage and transformation processes to promote transparency and team collaboration

  Requirements:

  • 3-6 years of hands-on development experience with a focus on data engineering or data-intensive applications
  • Bachelor of Science (B.S.) or equivalent professional experience
  • Demonstrated expertise in Python and its core data libraries (pandas, numpy, polars)
  • Advanced SQL capabilities, including query tuning, indexing, and execution plan analysis
  • Hands-on experience with data orchestration tools such as Dagster, dbt, or Airflow
  • Solid understanding of OLTP versus OLAP data patterns and their appropriate use cases
  • Proven track record in applying data contracts, schema validation, and automated testing in pipeline workflows
  • Familiarity with data quality frameworks and drift detection techniques
  • Knowledge of materialized views, incremental data processing, and caching strategies
  • Experience working with cloud data platforms, preferably Azure
  • Nice-to-have: background in financial or time-series data analysis and pipelines

    Our Commitment to Inclusion & Belonging
    The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupation or position.
    
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