Financial Information Systems · 1 day ago
Data Engineer
Tampa, FL
Full-time
Hybrid
Senior Level
5+ years expFinancial Information Technologies LLC is a pioneering accounts payable automation solutions provider, seeking a Data Engineer with strong AI/ML expertise to modernize and scale their Business Intelligence capabilities. The role involves designing and building data pipelines, deploying machine learning solutions, and operationalizing intelligent analytics to enhance decision-making across the organization.
BankingFinancial ServicesFinTechSoftware
No H1B
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
Qualification
Required
Bachelor's/Master's in Computer Science, Data Engineering, Statistics, or related field
5+ years in data engineering; 2+ years applying ML in production
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
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
Company
Financial Information Systems
FIS is a developer of information systems for the financial sector.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase