Job description

About the role Behind many of life’s most important transactions — buying a house, applying for a mortgage, getting a small business loan, or refinancing a credit card — is a network of credit relationships. Setpoint provides critical infrastructure for relationships between the world’s largest banks, credit funds and capital markets counterparties. We’re building trust in this system of credit. We are looking for an Analytics Engineer to join our team supporting our external data products. In this position, you will be reporting into our Head of Analytics and partnering closely with engineering, product, and implementation teams to build and maintain the data infrastructure that powers our products. This is a hands-on role where you’ll design and maintain data pipelines, create dashboards, and work directly with stakeholders to deliver insights that drive business outcomes. 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. What you’ll do 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. You should have 5+ 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. About Setpoint Setpoint provides purpose-built capital and technology to asset-backed borrowers and lenders. Our platform is the funding operating system for originators: it verifies and stores documents; automates critical calculations and compliance reporting; and digitizes assets like homes or cars. Setpoint’s technology makes warehouse transactions instant and error free. In August 2024, Setpoint announced the successful completion of its $31 million Series B funding round. 645 Ventures led the round, with significant strategic investments from Citi and Wells Fargo, alongside Andreessen Horowitz, NextView Ventures, Floating Point, Henry Kravis, Zillow founder’s 75 & Sunny, Vesta Ventures, Fifth Wall, Eltura Ventures, and Outrunner Capital. We offer a comprehensive benefits package that includes competitive salaries, stock options, medical, dental, and vision coverage, 401(k), short term and long term disability coverage, and flexible vacation. We have offices in Austin, TX, New York City, NY, and Salt Lake City, UT with hybrid roles based in these locations and an expectation of two days a week in office (Tuesdays and Thursdays). Compensation: $150,000 - $170,000 OTE dependent on multiple factors, which may include the candidate's skills, experience, location, and other qualifications. Setpoint provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Requirements

Must-haves

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.
What you’ll do
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.
You should have
5+ years of experience in analytics engineering, data engineering, or a similar technical role.
Strong experience designing, implementing, and maintaining data pipelines and models.
Experience in a customer-facing role, working with technical and business stakeholders.
Excellent problem-solving, communication, and collaboration skills.

Nice-to-haves

Proven expertise DBT, SQL, and GitHub-based development. Python is a plus.
Experience working with asset managers, business owners, or financial services data sets is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsql

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)