Data Engineer - AI/ML

Fintech Brand•Tampa, FL

1d•Hybrid

About The Position

We are seeking a Data Engineer with strong AI/ML expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision-making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI.

Requirements

Bachelor’s/Master’s in Computer Science, Data Engineering, Statistics, or related field.
5+ years in data engineering; 2+ years applying ML in production.

Responsibilities

End-to-end data pipelines and integrations
Advanced SQL optimization and complex query design
Kafka streaming applications and connector development
Databricks workflow development with medallion architecture
Data governance implementation and compliance
Performance tuning for large-scale data processing
Data security and privacy best practices
Apache NiFi pipeline development for invoice and PO processing
Integration with purpose-built data stores (Druid, MongoDB, OpenSearch, Postgres)
Build and maintain end-to-end ML pipelines for training, deployment, and monitoring of models.
Design and optimize data architectures for large-scale ML workloads
Explore and implement LLM-based solutions, RAG architectures, and generative AI for business use cases.
Cross-functional collaboration with product and engineering teams
Technical mentoring for junior data engineers
Analytical thinking for complex data problems
Stakeholder communication for data requirements
Process improvement and efficiency focus
Quality mindset for data accuracy and reliability
Direct communication with data platform vendors
Evaluates vendor tools for specific data use cases
Provides technical feedback on vendor product roadmaps
Coordinates with vendors for data integration projects