Senior Analytics Engineer - Data Pipelines & Dashboards

Setpoint; Austin (TX); Hybride; USD 150 000 - 170 000; Plein temps

Avantages offerts par ce poste

Stock options

Medical, dental, and vision coverage

401(k)

Short term and long term disability

Flexible vacation

Résumé du poste

Setpoint is seeking an Analytics Engineer to join our team and support our external data products. You will report to the Head of Analytics and partner with engineering, product, and implementation teams to build and maintain data infrastructure that powers our products.

This hands-on role involves designing data pipelines, creating dashboards, and delivering insights to drive business outcomes. You should have 5+ years in analytics engineering or a related field, with proven DBT, SQL, and

Qualifications

• 5+ 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.

Responsabilités

• Own end-to-end implementations for the data products for our external customers.
• 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.
• Use GitHub-based workflows to maintain clean, version‑controlled analytics code.
• Act as a subject matter expert for analytics best practices.

Connaissances

Analytics engineering

DBT

SQL

GitHub-based development

Python

Description du poste

Setpoint is seeking an Analytics Engineer to join our team and support our external data products. You will report to the Head of Analytics and partner with engineering, product, and implementation teams to build and maintain data infrastructure that powers our products.

This hands-on role involves designing data pipelines, creating dashboards, and delivering insights to drive business outcomes. You should have 5+ years in analytics engineering or a related field, with proven DBT, SQL, and