Staff Analytics Engineer

About The Role

Built on the foundation of critical credit relationships, Setpoint provides essential infrastructure for the world's largest banks, credit funds, and capital markets counterparties. We aim to build trust in this system of credit. We are seeking a Staff Analytics Engineer to support our external data products.

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.

Who Will Love This Job

• A data product builder – you love creating robust, scalable analytics solutions that drive decision-making.
• A client partner – you enjoy working directly with clients (asset managers, business owners, technical stakeholders) to understand their needs and deliver solutions that work in the real world.
• A technical problem solver – you’re fluent in Python, SQL, and DBT, and know how to integrate them into a seamless analytics workflow.
• A team collaborator – you thrive in cross-functional work with engineering, product, and implementation teams.
• A strategic thinker – you look beyond the immediate task to anticipate analytics capabilities needed for future growth.
• A people builder – you get energy from growing engineers and building a high-performing team, not just shipping data products.

Requirements

• 8+ years of experience in analytics engineering, data engineering, or a similar technical role.
• Proven expertise in DBT, SQL, and GitHub-based development.
• 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.

Qualifications

• Based in Austin, TX.

Pay

Competitive salaries, stock options, medical, dental, and vision coverage, 401(k), short term and long term disability coverage, and flexible vacation.

Schedule

Hybrid role based in Austin, TX with an expectation of two days a week in office (Tuesdays and Thursdays).

Benefits

• Comprehensive benefits package including medical, dental, and vision coverage, 401(k), short term and long term disability coverage, and flexible vacation.