Senior Data Engineer

Next Ventures • Full-time • Florida, United States, US • $130k - $150k / year • 5d ago

The team work on a hybrid model meaning you will be in the office on Tuesdays and Thursdays.

The office is located in Fort Lauderdale, FL.

I am partnered with a Ecommerce Retail Business based our of Fort Lauderdale, who are looking to hire a critical technical role for the business.

This Data & ML Engineer would be responsible for designing, building, and scaling the companies next-generation data platform and ML ecosystem. You will work as the right hand to the VP, Machine Learning and help in architecting the foundation of their cloud lakehouse and drive the hands-on design, development, and deployment of scalable models and data pipelines that power business intelligence, personalization, and predictive analytics across the organization.

This role offers huge growth, but also the chance to be able to come in and join a company where you can be at the forefront of them scaling their AI initiatives.

Responsibilities

Architect and build the enterprise lakehouse across Microsoft Fabric, Snowflake, Databricks, or AWS
Ensure data governance, quality, and security are embedded throughout the architecture
Partner closely with the VP, to translate business challenges into data/BI or AI/ML solutions
Contribute to the end-to-end development of machine learning models and supporting use cases across retail and eCommerce
Build reusable MLOps pipelines

Qualifications

5+ years in data engineering or ML engineering
Demonstrated experience in building and scaling data platforms
Experience deploying and maintaining ML models in production with MLOps best practices
Familiarity with MLOps platforms such as Azure ML, MLflow, Kubeflow, or Databricks
Solid understanding of data modeling, ELT/ETL patterns, streaming, and orchestration (ADF, Airflow, Fabric Data Pipelines)