Quantitative Systems
This range is provided by Quantitative Systems. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $175,000.00/yr - $300,000.00/yr
Additional compensation types Annual Bonus
Austin, TX
Join a team 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.
What You'll Do
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.
What You'll Bring
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.
Who You'll Work Well With
Engineers who enjoy diving into complex datasets and solving messy data problems.
Teammates who take ownership, define their own path forward, and see projects through from start to finish.
Builders who care about reliability, documentation, and continuous improvement.
Why This Role
Your work will directly influence how data informs business and investment decisions.
You'll gain exposure to a wide variety of financial and alternative datasets.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Finance and Information Technology
Industries
Software Development and Financial Services
Referrals increase your chances of interviewing at Quantitative Systems by 2x
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Base pay range $175,000.00/yr - $300,000.00/yr
Additional compensation types Annual Bonus
Austin, TX
Join a team 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.
What You'll Do
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.
What You'll Bring
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.
Who You'll Work Well With
Engineers who enjoy diving into complex datasets and solving messy data problems.
Teammates who take ownership, define their own path forward, and see projects through from start to finish.
Builders who care about reliability, documentation, and continuous improvement.
Why This Role
Your work will directly influence how data informs business and investment decisions.
You'll gain exposure to a wide variety of financial and alternative datasets.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Finance and Information Technology
Industries
Software Development and Financial Services
Referrals increase your chances of interviewing at Quantitative Systems by 2x
#J-18808-Ljbffr