Data Platform Engineer

Bankers Financial Corporation; Saint Petersburg (FL); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Hybrid work environment

Benefits package

Job summary

Bankers Financial Corporation in Saint Petersburg, FL is seeking a Data Platform Engineer for USAdmt, our data and AI engineering division. This hybrid, full-time role focuses on building Azure data pipelines, developing predictive models in Python, and delivering embedded analytics in our React-based products.

You will work across Azure SQL, Cosmos DB, PostgreSQL, and geospatial tooling to support compliance and risk analytics.

Qualifications

• Bachelor’s degree in a quantitative field and 4+ years of data engineering or analytics experience.
• Strong Python and SQL with production-grade data pipelines.
• Experience with Azure cloud services (Functions, SQL, Cosmos DB, Service Bus).
• Geospatial data processing experience (PostGIS, spatial indexing).
• Proficiency in data visualization and embedded analytics (Chart.js, Recharts).
• Solid foundation in statistics and hypothesis testing.

Responsibilities

• Design, build, and maintain event-driven data pipelines on Azure.
• Develop, maintain, and deploy analytical and predictive models in Python.
• Build and optimize intelligent automation features for compliance workflows.
• Create embedded analytics and data visualizations using React and geospatial mapping.
• Write and optimize SQL across Azure SQL, Cosmos DB, PostgreSQL (PostGIS).
• Collaborate with stakeholders to translate requirements into data solutions.
• Conduct A/B testing and hypothesis-driven experimentation.
• Manage data workflows across Azure Functions (DotNet and Python).
• Evaluate emerging technologies and perform PoC work.
• Maintain documentation, data schemas, and engineering best practices.

Skills

Python

SQL

Azure

Data pipelines

Analytics modeling

Geospatial processing

Data visualization

Statistical analysis

Communication

Problem solving

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

Master’s degree in Engineering, Data Science, Computer Science, or related field

Tools

Azure Functions

Cosmos DB

PostgreSQL

Leaflet

Chart.js

Recharts

PostGIS

Entity Framework Core

Job description

JOB DESCRIPTION

USAdmt – Data and AI Engineering Division

Reports To: Vice President - Data ScienceLocation: 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