# Senior/Staff Analytics Engineer

**Company:** [Setpoint.io](https://hotfix.jobs/companies/setpoint-io)
**Location:** Austin, TX, New York, NY
**Role:** Data Engineering
**Salary:** $150k – $170k/yr
**Experience:** 5+ years
**Skills:** Python, SQL, dbt, GitHub, Data Pipelines, Data Modeling, Analytics Engineering, Dashboards, Data Products, Version Control
**Posted:** 2026-08-18

> Build and maintain data pipelines, analytics models, dashboards, and external data products while partnering with engineering, product, implementation teams, and customers. The role requires 5+ years of analytics or data engineering experience, strong dbt and SQL expertise, and customer-facing collaboration skills.

## Job Description

## Responsibilities
- Own end-to-end implementations for data products serving external customers.
- Build and maintain scalable data pipelines and analytics models using Python, dbt, and SQL.
- Create and manage dashboards in external and internal analytics products.
- Prototype new data products.
- Collaborate with engineering to drive the data-product roadmap.
- Use GitHub-based workflows to maintain clean, version-controlled analytics code.
- Serve as a subject matter expert for analytics best practices.

## Requirements
- 5+ years of experience in analytics engineering, data engineering, or a similar technical role.
- Expertise in dbt, SQL, and GitHub-based development; Python experience is a plus.
- Strong experience designing, implementing, and maintaining data pipelines and models.
- Experience in customer-facing roles with technical and business stakeholders.
- Excellent problem-solving, communication, and collaboration skills.

## Nice-to-haves
- Experience working with asset managers, business owners, or financial services datasets.

## Compensation and Benefits
- OTE of $150,000–$170,000, dependent on skills, experience, location, and other qualifications.
- Stock options.
- Medical, dental, and vision coverage.
- 401(k).
- Short-term and long-term disability coverage.
- Flexible vacation.

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