Fintech is looking for 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.
What You'll Do
- Design and build data pipelines and integrations.
- 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.
- Direct communication with data platform vendors.
- Evaluate vendor tools for specific data use cases.
- Provide technical feedback on vendor product roadmaps.
- Coordinate with vendors for data integration projects.
What We're Looking For
- Bachelor’s or Master’s in Computer Science, Data Engineering, Statistics, or a related field.
- 5+ years of experience in data engineering.
- 2+ years applying ML in production environments.
Technical Stack
- Advanced SQL optimization and complex query design
- Kafka streaming applications and connector development
- Databricks workflow development with medallion architecture
- Apache NiFi pipeline development
- Druid, MongoDB, OpenSearch, Postgres
Benefits & Compensation
- Hybrid Work
- Employer Matched 401K
- Company Paid Medical Insurance Option for Employee and Dependent Children
- Company Paid Dental Insurance for Employee
- Company Paid Vision Insurance for Employee
- Company Paid Long and Short-Term Disability
- Company Paid Life and AD&D Insurance
- 18 Paid Vacation Days a Year
- Six Paid Holidays
- Employee Recognition Programs
- Holiday Bonus
- Incentive Compensation
- Community Outreach Opportunities
- Business Casual Dress Code
Work Mode
This is a hybrid position based in Tampa, FL.
Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.
