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Analytics Engineer
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Analytics Engineer
- Doral, Florida, United States
- Doral, Florida, United States
Über
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
Qualifications
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
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Sprachkenntnisse
- English
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