Data Engineer - AI/ML
Fintech
This position is Hybrid in Tampa, FL . 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. Key Responsibilities Project Responsibility: End-to-end data pipelines and integrations Technical Competencies:
Our Benefits:
Fintech is a Drug-Free Workplace. 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. Fintech's management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. We E-Verify. Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
- 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 Vendor Management:
- 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
Our Benefits:
- 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
Fintech is a Drug-Free Workplace. 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. Fintech's management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. We E-Verify. Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Vacancy posted 1 day ago
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