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Data Warehouse Engineer
Data Warehouse EngineerOne Park Financial • Miami, FL, US
Data Warehouse Engineer

Data Warehouse Engineer

One Park Financial • Miami, FL, US
[job_card.variable_days_ago]
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  • [job_card.full_time]
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Job Description

Job Description

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 a Data Warehouse Engineer to help design, build, and scale our data platform in a fast-paced FinTech environment. This role will focus on building and maintaining data pipelines, data lakes, and analytics-ready datasets on AWS, supporting financial models and business intelligence initiatives. The ideal candidate is hands-on, data-driven, and comfortable working with API-based data ingestion, data transformation, and analytics use cases.

Requirements

  • Bachelor’s degree in Computer Science or Engineering
  • 3+ years of experience as a Data Warehouse Engineer, Data Engineer, or similar role
  • Strong experience with AWS (data lake and data warehouse architectures)
  • Advanced proficiency in SQL for analytics and data modeling
  • Hands-on experience with dbt for data transformations and modeling
  • Experience ingesting data from APIs and external data sources
  • Strong understanding of data cleaning, validation, and quality best practices
  • Experience supporting data analytics and financial models
  • Ability to work in a fast-paced, growth-oriented FinTech environment
  • Strong problem-solving, organizational, and communication skills

Duties and Responsibilities

  • Design, build, and maintain scalable data warehouses and data lakes on AWS
  • Develop and maintain data pipelines to ingest data from APIs and internal systems
  • Use dbt and SQL to transform, model, and optimize data for analytics and reporting
  • Ensure data accuracy, consistency, and reliability through validation and cleaning processes
  • Support analytics, reporting, and financial modeling use cases
  • Collaborate with engineering, analytics, and business teams to support new growth initiatives
  • Monitor data performance and optimize for scalability and cost efficiency
  • Monday–Friday, standard business hours
  • On-site position based in Miami, Florida
  • Benefits

  • Competitive salary
  • 401(k) with company match
  • Health insurance
  • Dental & vision insurance
  • Life insurance
  • Paid time off
  • Office snacks
  • Monthly events
  • Awesome work environment
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