Lead Engineer, Pricing & Decision Systems
One Park Financial2 days ago
Salt Lake City, UT, USAStaff+
Responsibilities
- Own and develop the Python pricing and decision engine running on AWS.
- Implement scoring models, pricing rules, offer grids, modifiers, and business logic for financing offers.
- Lead and mentor engineers, set architecture and coding standards, review risky changes, and direct team delivery.
- Maintain correct and versioned data in DynamoDB and S3, including audit records, experiment history, reference files, reconciliation checks, and quality controls.
- Design, run, and analyze A/B pricing experiments, including eligibility, variant assignment, stratification, and experiment-data integrity.
- Own integrations with the sales platform, CRM, external credit providers, and bank-data providers.
- Maintain production reliability, observability, health dashboards, deployment workflows, and incident-response coordination.
- Partner with Product, DevOps, Data Engineering, Data Science, and QA on roadmaps, model deployment, APIs, pipelines, and test coverage.
- Build future analytics applications, data products, model integrations, data plumbing, and engineering standards for the analytics team.
- Use modern AI and LLM tooling for prototyping, documentation, testing, and development.
Requirements
- 5+ years of professional Python development building and maintaining production applications and services.
- Experience leading or mentoring engineers, setting standards, reviewing code, and directing a small team's work.
- Experience building and maintaining REST APIs with FastAPI, Flask, or similar technologies.
- Hands-on production AWS experience, particularly with ECS/Fargate, DynamoDB, S3, Lambda, SQS, Secrets Manager, and CloudWatch.
- Experience designing DynamoDB access patterns, handling schema and type changes, and managing versioned S3 data such as Parquet and partitioned datasets.
- Strong SQL skills and comfort with relational and NoSQL data and CSV and Parquet reference files.
- Experience implementing business-logic-heavy applications where correctness of scorecards, reference files, and configuration data is critical.
- Familiarity with data modeling and validation frameworks such as Pydantic, plus experience building reconciliation and QA checks.
- Hands-on experience integrating machine-learning or analytical model outputs into production, including feature engineering, scoring logic, and collaboration with Data Science.
- Experience designing or supporting A/B tests and experimentation, including stratification and clean experiment data.
- Strong cross-team communication, self-direction, and end-to-end system ownership.
- Comfort using modern AI and LLM tools.
- Preferred experience in financial services, lending, or pricing systems.
- Preferred experience with Salesforce or HubSpot APIs, Docker, dbt, Airflow, Next.js, TypeScript, RAG, LangChain, LangGraph, Agents SDK, MLflow, or SageMaker.
- Front-end familiarity and exposure to ML model serving, monitoring, retraining pipelines, or AI infrastructure and agents are beneficial.
Benefits
- Hybrid work arrangement in Salt Lake City, United States.
- Local and national health insurance, dental insurance, and vision insurance.
- Group Medical Bridge.
- 401(k) with company match.
- Company-covered identity protection and life insurance.
- Generous paid time off and holidays.
- Professional growth through learning opportunities, training programs, and career advancement paths.
Tech Stack
Categories
About One Park Financial
One Park Financial provides small-business financing, connecting entrepreneurs with working capital through options such as short-term funding and factoring. The privately held fintech, founded in 2010 and headquartered in Miami, generates revenue by originating and pricing financing offers and matching applicants with capital providers. It serves small and midsize businesses via an online application process and a partner network.