Data Platform Engineer

USAdmt – Data and AI Engineering Division JOB DESCRIPTION Position Title: Data Platform Engineer Department: USAdmt – Data & AI Engineering Reports To: Vice President - Data Science Location: St. Petersburg, FL (Hybrid) Employment Type: Full-Time About the Role USAdmt is seeking a talented Data Platform Engineer to join USAdmt, our technology division focused on digital compliance solutions. This role sits at the intersection of data engineering, analytics, and product development, supporting the SafePath platform suite that serves border security, university compliance, and migration governance markets. You will work across a multi-database Azure architecture, develop and deploy analytical models, build event-driven data pipelines, and create embedded analytics experiences within our React-based products. This is a high-impact, hands-on engineering role with visibility across the organization and direct contribution to USAdmt’s rapid growth. Key Responsibilities
Design, build, and maintain event-driven data pipelines on Azure using Azure Functions, Azure Service Bus, and Hangfire to support SafePath’s real-time data processing and analytics capabilities
Develop, maintain, and deploy analytical and predictive models in Python for classification, pattern analysis, anomaly detection, and risk scoring
Build and optimize intelligent automation features that enhance compliance workflows and decision support
Create and maintain embedded analytics and data visualizations using React (Chart.js, Recharts) and geospatial mapping (Leaflet, H3 hexagonal grids) for both internal and client-facing dashboards
Write and optimize complex SQL queries and data transformations across Azure SQL (Entity Framework Core), Cosmos DB, and PostgreSQL with PostGIS extensions
Collaborate with product, engineering, and business stakeholders to translate requirements into technical specifications and data-driven solutions
Conduct A/B testing, statistical analysis, and hypothesis-driven experimentation to inform product decisions and measure feature impact
Manage and automate data workflows across Azure Functions (.NET and Python), ensuring reliability, scalability, and observability
Contribute to the evaluation and integration of emerging technologies, including vendor assessments and proof-of-concept development
Maintain documentation, data schemas, and engineering best practices across the data platform Required Qualifications
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related quantitative field
4+ years of professional experience in data engineering, data analytics, or applied analytics roles
Strong proficiency in Python and SQL with hands-on experience building production-grade data pipelines and analytical models
Experience with Azure cloud services (Azure Functions, Azure SQL, Cosmos DB, Azure Service Bus, Azure Blob Storage, or equivalent)
Working knowledge of analytical modeling techniques including classification, clustering, time-series anomaly detection, and ensemble methods
Experience with geospatial data processing (PostGIS, coordinate systems, spatial indexing, or equivalent)
Proficiency in data visualization and embedded analytics (Chart.js, Recharts, D3.js, or equivalent charting libraries)
Solid foundation in statistics: hypothesis testing, regression, A/B testing, and confidence intervals
Excellent communication skills with the ability to translate technical work into business impact for diverse stakeholders Preferred Qualifications
Master’s degree in Engineering, Data Science, Computer Science, or related field
5+ Year of experience
Experience building intelligent automation or decision-support tools
Experience with Redis or similar for distributed caching and real-time data patterns
Familiarity with event-driven architectures (Azure Service Bus, message queues, pub/sub patterns)
Experience with geospatial visualization (Leaflet, Mapbox, H3 hexagonal indexing)
Familiarity with compliance, insurance, immigration, or regulated industry data environments What We Offer
Opportunity to shape the data and analytics strategy for a fast-growing compliance technology platform
Direct mentorship from the Chief Data Officer with exposure to executive-level initiatives
Hybrid work environment with flexibility and a collaborative, innovation-driven culture
Competitive compensation and comprehensive benefits package
Professional development support including conference attendance and continued learning The preceding position description has been designed to indicate the general nature of the work performed, the level of knowledge and skills typically required, and the usual working conditions of this position. It is not designed to contain or be interpreted as a comprehensive, complete, or exclusive list of the duties of the position. Additional and different duties may be assigned from time to time. We are an E-Verify company. Bankers Financial Corporation and its subsidiaries are Equal Opportunity Employers. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by law. We are committed to providing reasonable accommodations to qualified individuals with disabilities. Employment with Bankers Financial Corporation and its subsidiaries is at-will, meaning that either the employee or the company may terminate the employment relationship at any time, with or without cause or notice. Employment may also be contingent upon the successful completion of a background check and/or drug screening, where applicable. Applicants must be authorized to work in the United States.