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Analytics EngineerOne Park Financial • United States
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Analytics Engineer

One Park Financial
  • US
    United States
  • US
    United States
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About

Job Description
Job Description Company Overview: One Park Financial (OPF) is a leading Financial Technology company dedicated to empowering small businesses by connecting them with flexible financing and funding options. Our mission is to provide entrepreneurs with the working capital they need to elevate their businesses. At OPF, we believe in working with high-performing individuals who are ready to play an integral part in our company's expansion — because our success hinges on our people. Why Join Us? At OPF, we foster a dynamic and inclusive company culture that emphasizes collaboration, innovation, and personal growth. Our team is composed of passionate, driven individuals who are committed to making a difference. Here’s what you can expect when you join our team: Innovative Environment:
Work with cutting-edge technology and be part of a team that is constantly pushing the boundaries of fintech. Professional Growth:
We invest in our employees’ growth with continuous learning opportunities, training programs, and career advancement paths. Supportive Culture:
Enjoy a supportive and inclusive work environment where your ideas are valued, and your contributions make a real impact. Community Focus:
Be part of a company that understands the importance of small and mid-sized businesses to their communities and the nation’s financial health. High-Performing Team:
Join a team of badasses who are committed to excellence and are integral to our company's expansion and success. About the Role One Park Financial (OPF) is a fast-growing FinTech (Financial Technology) company headquartered in Coconut Grove, Florida. OPF connects small businesses with a wide variety of flexible financing and funding options to help entrepreneurs acquire the working capital they need to take their business to the next level. We want to work with high-performing individuals who will play an integral part in our continued growth. We believe success comes down to working with the right people and enabling them to do what they do best. We are seeking an
Analytics Engineer
to design and build our
DBT
analytics infrastructure from the ground up. This is a greenfield opportunity for someone who has done it before and knows exactly how it should be done. You will own the end-to-end architecture of our
DBT
environment — from project structure and modeling layers to testing frameworks, documentation standards, and deployment pipelines — all built on top of our AWS data stack. The ideal candidate is opinionated, hands-on, and brings proven, real-world experience standing up
DBT
from scratch in a production environment. Duties and Responsibilities
Architect and build the
DBT
project from the ground up (define folder structure, naming conventions, modeling layers, and coding standards as the foundation for the entire analytics org) Establish a robust testing and data quality framework and maintain
DBT
documentation and lineage so the organization can trust and understand the data Set up and manage the
DBT
deployment pipeline, including CI/CD, scheduling, and environment management (dev/staging/prod) Develop and maintain
data pipelines
ingesting from APIs and internal systems, and translate business logic into clean, analytics-ready datasets in collaboration with analysts, data scientists, and business stakeholders Support financial modeling, reporting, and BI use cases while continuously optimizing model performance and warehouse costs Work Schedule
Monday–Friday, standard business hours On-site position based in
Miami, Florida Requirements Bachelor's degree in Computer Science, Engineering, or a related field 3+ years of experience as an Analytics Engineer, Data Engineer, or similar role Demonstrated experience building a DBT project from scratch in a production environment, including project structure, layered modeling (staging → intermediate → marts), testing frameworks, macros, CI/CD integration, and documentation Advanced proficiency in SQL and strong experience with AWS data infrastructure (Athena, S3, Glue, or equivalent) Experience ingesting and modeling data from APIs and external sources, with a strong grasp of data quality and validation best practices Experience supporting analytics, reporting, and financial modeling use cases in a fast-paced environment Benefits Competitive salary 401(k) with company match Health insurance Dental & vision insurance Life insurance Paid time off Office snacks Monthly events Collaborative and growth-oriented work environment
  • United States

Languages

  • English
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