Quantitative Systems · 1 day ago
Data Engineer
Austin, Texas Metropolitan Area
Full-time
Onsite
Entry, Mid Level
$175K/yr - $300K/yr
1+ years expQuantitative Systems is focused on building and maintaining the data infrastructure that powers investment research and analytics. In this role, you'll collaborate closely with data scientists, quantitative researchers, and business stakeholders to ensure data is accurate, accessible, and reliable across the organization.
Human ResourcesInformation Technology
Responsibilities
Develop and manage end-to-end ETL pipelines using tools like Airflow, Dagster, or similar orchestration frameworks
Explore and onboard new datasets, taking the time to understand their structure, quirks, and real-world context
Maintain clean, well-documented datasets that are trusted across multiple teams
Work directly with internal stakeholders to identify data needs and guide them to the right sources
Assess external data providers to make sure the most effective datasets are being used for each business case
Qualification
Required
Proficiency in Python and SQL for data processing and analysis
Hands-on experience building scalable data pipelines; familiarity with Spark or Pandas is a plus
A sharp eye for detail and persistence in identifying and resolving data inconsistencies
Ability to clearly explain technical concepts to teammates with varying levels of technical expertise
1–3 years of relevant experience, though candidates with deeper experience are also encouraged to apply
Company
Quantitative Systems
Quantitative Systems is an executive technology search firm that focuses on finding the most talented software engineers in the world.
2-10 employees
Funding
Current Stage
Early StageLeadership Team
Darren Ross
Chief Operating Officer
Company data provided by crunchbase