Top Data & Analytics Jobs in Jacksonville, FL

Administer and maintain sensitive Navy GIS data, spatial databases, GIS applications, imagery workflows, and system configurations. Support data processing, reporting, validation, recovery, user training, troubleshooting, and map publishing for Navy emergency responders. The role also manages relational database data, generates statistics, monitors system status, and coordinates with mapping and administration teams.

Leads modernization of legacy data platforms and architects scalable batch and streaming pipelines on Azure and Databricks. Designs lakehouse and dimensional warehouse models, integrates REST APIs, implements data quality and observability frameworks, and establishes CI/CD and infrastructure as code. Uses OpenAI and Anthropic for AI-assisted engineering and validation. Mentors engineers, drives architecture decisions, and owns data reliability, governance, security, and performance.

Leads the architecture, development, and delivery of enterprise data platforms using Snowflake, AWS, Python, Spark, Informatica, and modern ELT frameworks. Designs Data Vault and dimensional models, scalable ingestion pipelines, and cloud data architectures. Provides technical leadership, mentors engineers, manages delivery across initiatives, and ensures data quality, performance, governance, monitoring, and production reliability. Partners with business and technical stakeholders to translate requirements into robust data solutions.

The Data Governance Analyst investigates data quality failures, writes SQL validation queries, extracts and analyzes data, and develops governance metrics. The role partners with business and technology teams to implement data policies, risk controls, taxonomies, and governance frameworks. Responsibilities include tracking data issues, coordinating enterprise strategy rollouts, synthesizing performance metrics, and recommending improved policies and processes. The position requires strong SQL, Python or SAS proficiency, stakeholder communication, and data governance experience.

Designs and develops AWS data pipelines and automated document-processing workflows for structured and unstructured data. Builds chunking, embedding, vector indexing, semantic search, knowledge bases, and RAG integrations. Develops AI agents using Amazon Bedrock and Claude technologies, deploys them through AgentCore, and maintains GitHub Actions CI/CD pipelines. Optimizes systems for scalability, reliability, security, and performance. Requires remote work in western U.S. time zones and travel to client workshops or meetings.

Leads healthcare data analysis, reporting, dashboard development, forecasting, and data-quality processes. Analyzes claims, utilization, cost, pharmacy, and financial data to identify trends and support cost-containment and business decisions. Develops SQL database objects, translates stakeholder requirements, supports regulatory reporting, improves analytics workflows, and manages projects. Provides mentoring, peer review, documentation, and cross-functional guidance.

Supports data integrity and compliance reporting across Yardi and HUD systems. Responsibilities include validating databases, correcting PIC and EIV errors, generating reports, tracking fraud and over-income households, coordinating user access and training, developing trend analyses, and supporting project requirements and performance reviews. The role collaborates with internal departments, vendors, and external stakeholders to maintain accurate, compliant housing program data.

Leads Healogics’ data engineering team and enterprise data platform strategy. Owns SQL Server warehouse reliability, ETL, OLAP, SSRS, data architecture, modeling, governance, security, and production support while directing migration to Databricks. Translates business needs into scalable data solutions, establishes engineering standards, manages vendors and implementation partners, and partners with executives, analytics, application, cybersecurity, and infrastructure teams.

Design and govern enterprise data architecture, reporting, analytics, data warehouses, and storage infrastructure. Lead BI development using Power BI, SSRS, SSIS, and SSAS; support Azure migration and legacy modernization. Gather requirements, create technical designs, improve data processes, and guide architecture decisions. The role also includes application packaging, Active Directory and Group Policy administration, client support, automation scripting, infrastructure deployment, documentation, and on-call support.

Analyze banking and financial crime data, develop and tune statistical and machine learning classification models, evaluate model performance, identify data quality issues, and recommend optimization strategies. The role uses Python and SQL for feature engineering, statistical modeling, automation, and large-scale data processing. Responsibilities also include documenting methodologies, reporting results to management and regulators, and collaborating with compliance, technology, business, and model governance teams.