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Setpoint.ioSetpoint.ioAustin, TX

Staff Analytics Engineer

Staff Analytics Engineer building and maintaining scalable data pipelines, models, and dashboards for external financial data products. Lead a growing analytics engineering team while staying hands-on; requires 8+ years experience, expertise in DBT/SQL, and customer-facing skills.

Salary not listed
Hybrid8+ YOEData Engineering

About the role

What you’ll do

  • Own end-to-end implementations for the data products for our external customers.
  • Set technical direction and standards for the analytics engineering team.
  • Build and maintain scalable data pipelines and analytics models using Python, DBT, and SQL.
  • Create and manage dashboards in our external and internal analytics products so stakeholders have actionable insights.
  • Prototype new data products to add to our product suite.
  • Collaborate with engineering to drive the roadmap for the data products.
  • Mentor engineers and own their professional development.
  • Use GitHub-based workflows to maintain clean, version-controlled analytics code.
  • Act as a subject matter expert for analytics best practices.

You should have

  • 8+ years of experience in analytics engineering, data engineering, or a similar technical role.
  • Proven expertise in DBT, SQL, and GitHub-based development. Python is a plus.
  • Strong experience designing, implementing, and maintaining data pipelines and models.
  • Experience in a customer-facing role, working with technical and business stakeholders.
  • Experience working with asset managers, business owners, or financial services data sets is a plus.
  • Excellent problem-solving, communication, and collaboration skills.
  • Must be based in Austin, TX.

Skills

dbtSQLPythonGitHubData Pipelinesanalytics modelsDashboards
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