Overview
We’re looking for a Data Engineer to help build and maintain the data pipelines that power our investment, research, and analytics teams. You’ll work closely with data scientists, quants, and investors to onboard new datasets, ensure data quality, and maintain the reliability of the data that drives decision-making across the firm.
Location: Austin, Texas
What You’ll Do
Build, maintain, and troubleshoot ETL pipelines (Airflow, Dagster, or similar).
Ingest and deeply understand new datasets — their structure, quirks, and business meaning.
Maintain high-quality, well-documented datasets used across the organization.
Partner with non-engineering stakeholders to understand data needs and guide them to the right sources.
Evaluate data vendors and ensure we use the best data for each use case.
What We’re Looking For
Strong Python and SQL skills.
Experience building data pipelines; familiarity with Spark or Pandas a plus.
Strong attention to detail and persistence in debugging data issues.
Clear communication skills, especially with non-technical audiences.
1–3 years of experience (or strong internships); senior candidates also welcome.
Qualifications
Strong Python and SQL skills.
Experience building data pipelines; familiarity with Spark or Pandas a plus.
Strong attention to detail and persistence in debugging data issues.
Clear communication skills, especially with non-technical audiences.
10+ years of experience needed.
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