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Setpoint.io

Staff Analytics Engineer

Setpoint.io

Staff Analytics Engineer developing scalable data solutions for external clients in financial services. Leading a team while overseeing data products through end-to-end implementations.

Posted 7/21/2026full-timeAustin • Texas • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining scalable data pipelines and analytics models using DBT, SQL, and Python, while effectively collaborating with stakeholders to deliver actionable insights. Proven ability to mentor engineers and set technical direction for analytics engineering teams.

Highest-signal resume keywords
DBTSQLPythonData Pipeline DesignGitHub-Based Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Analytics EngineeringData EngineeringData ModelingData Product ImplementationScalable Data Pipelines
Soft Skills
Problem-SolvingCommunicationCollaborationMentoring
Tools & Technologies
GitHubAnalytics Dashboards
Industry Keywords
Financial ServicesCustomer-Facing RoleStakeholder Engagement

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 8+ years of experience in analytics engineering, data engineering, or a similar technical role.
  • Proven expertise 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.

Benefits

Comp & perks
  • Competitive salaries
  • Stock options
  • Medical, dental, and vision coverage
  • 401(k)
  • Short term and long term disability coverage
  • Flexible vacation