We are looking for a Data Scientist to join our team in Jacksonville, Florida, and deliver advanced analytics solutions that support decision-making in a financial services environment. In this role, you will transform complex data into scalable models, actionable insights, and clear visual narratives for business and technical partners. The ideal candidate brings strong experience across machine learning, big data platforms, and model deployment, along with the ability to turn exploratory concepts into production-ready solutions.<br><br>Responsibilities:<br>• Build, validate, and implement machine learning and predictive analytics solutions that address business needs within banking, payments, or financial services use cases.<br>• Prepare and refine large, complex datasets by performing data cleaning, transformation, and feature development to improve model performance and reliability.<br>• Develop analytical models using statistical and machine learning techniques such as classification, clustering, ensemble methods, and other predictive approaches.<br>• Work with big data tools and distributed processing frameworks to analyze high-volume datasets efficiently and support scalable model development.<br>• Create dashboards, visual reports, and data stories that communicate findings and recommendations to both technical teams and business stakeholders.<br>• Use Databricks capabilities such as collaborative notebooks, experiment tracking, model management, and automated workflows to support end-to-end model development.<br>• Design proof-of-concept initiatives that explore new opportunities, assess business value, and guide the expansion of successful solutions into broader use.<br>• Apply natural language processing methods where appropriate to extract insight from unstructured information and solve business problems.<br>• Partner with cross-functional teams to deploy, monitor, and maintain production-ready models in alignment with governance and operational expectations.
We are looking for an experienced Business Analyst to join a Long-term Contract opportunity in Jacksonville, Florida. In this role, you will work within an Agile Scrum setting, partnering with stakeholders and delivery teams to shape clear requirements and keep work moving efficiently through each sprint. This position is ideal for someone who can turn business needs into actionable documentation, support team alignment, and help ensure solutions meet expected outcomes.<br><br>Responsibilities:<br>• Partner with business stakeholders and technical teams to uncover needs, evaluate priorities, and document functional expectations.<br>• Convert business objectives into well-structured user stories that give development teams clear direction for execution.<br>• Establish detailed acceptance criteria that support quality development, validation, and successful testing outcomes.<br>• Maintain and refine the Jira backlog by updating items, supporting prioritization, and preparing work for upcoming sprints.<br>• Facilitate backlog review discussions and contribute to sprint planning to improve readiness and delivery flow.<br>• Analyze current business processes, identify operational gaps, and recommend opportunities for improvement.<br>• Work closely with Scrum team members throughout the sprint cycle to answer questions and resolve requirement-related issues.<br>• Assist with solution validation and testing activities to confirm delivered functionality aligns with business expectations.<br>• Monitor progress against sprint objectives and project timelines, helping teams stay focused on committed deliverables.
We are looking for a Data Engineer to join our team in Jacksonville, Florida and help shape scalable, enterprise-ready analytics solutions. In this role, you will turn complex business needs into well-structured data models, high-performing pipelines, and actionable reporting assets that support informed decision-making. The ideal candidate brings deep experience with modern data platforms, strong technical leadership, and the ability to guide best practices for analytics, governance, and data usability across the organization.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines and transformation workflows using tools such as Python, Apache Spark, Hadoop, Kafka, and ETL frameworks.<br>• Build and optimize enterprise semantic models that support consistent metrics, reusable analytics assets, and reliable reporting across multiple business areas.<br>• Partner with business and technical stakeholders to convert complex requirements into practical data solutions, dashboards, and analytical datasets.<br>• Develop and support analytics solutions within modern cloud and hybrid environments, with a strong focus on Microsoft Power BI, Microsoft Fabric, and Azure Synapse Analytics.<br>• Improve data quality, model performance, and platform reliability through testing, validation, tuning, and adherence to established governance standards.<br>• Provide technical guidance to team members by sharing best practices in data modeling, visualization, and scalable analytics design.<br>• Evaluate and incorporate AI-enabled analytics capabilities and automation opportunities while ensuring outputs align with business needs and quality expectations.<br>• Communicate technical concepts and analytical insights clearly to a range of audiences, including leadership, to support strategic decisions.
<p>We are looking for a Data Engineer to help advance enterprise reporting, analytics, and data modernization efforts in Jacksonville, Florida. This Long-term Contract position will focus on building reliable data workflows, strengthening data quality, and turning complex information into practical insights for business teams. The role is ideal for someone who enjoys combining data engineering expertise with business intelligence capabilities to create scalable, high-value solutions. Must be located in Jacksonville, FL.</p><p><br></p><p>Responsibilities:</p><p>• Build and support end-to-end data integration workflows using Azure Data Factory to move and transform information from multiple business systems.</p><p>• Improve data reliability by performing validation, cleansing, and quality checks that promote consistency and accuracy across reporting sources.</p><p>• Create and refine Power BI dashboards, visual reports, and analytics tools that help stakeholders make informed decisions.</p><p>• Develop efficient data models and structured datasets that meet operational reporting and business intelligence needs.</p><p>• Investigate pipeline failures, reporting discrepancies, and data issues, then implement timely solutions to restore performance and accuracy.</p><p>• Partner with business users and cross-functional teams to understand reporting goals and translate them into practical data solutions.</p><p>• Maintain reporting platforms, databases, and warehouse structures to support ongoing analytics and enterprise data usage.</p><p>• Write and optimize SQL queries, stored procedures, and automated routines that strengthen reporting and analytical processes.</p><p>• Document data movement, transformation logic, technical configurations, and business rules to support transparency and maintainability.</p><p>• Contribute to sound data governance practices by supporting secure, well-managed, and standards-driven data operations.</p>
We are looking for a Data Engineer to build and enhance scalable data solutions that support analytics and business decision-making in Jacksonville, Florida. This role focuses on designing reliable warehouse structures, developing efficient data pipelines, and improving data quality across enterprise platforms. The ideal candidate brings strong technical depth in modern data engineering practices and is comfortable partnering with cross-functional teams to deliver well-governed, high-performing data assets.<br><br>Responsibilities:<br>• Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability.<br>• Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools.<br>• Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency.<br>• Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput.<br>• Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management.<br>• Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines.<br>• Create efficient code for data transformation and aggregation using Python and advanced query development techniques.<br>• Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases.<br>• Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.
<p>We are seeking an analytical and detail-oriented IT professional to champion our technology change control and governance frameworks. Operating within a dynamic service management ecosystem, this role ensures all infrastructure and software updates are meticulously evaluated, authorized, and deployed with zero impact on daily business operations. The ideal candidate will leverage ServiceNow to streamline workflows, facilitate stakeholder communication, and drive continuous improvement across our IT Service Management (ITSM) landscape.</p><p>Core Responsibilities</p><ul><li><strong>Workflow Administration:</strong> Manage the end-to-end lifecycle of technology modification requests within ServiceNow, verifying data integrity, completeness, and adherence to proper authorization paths.</li><li><strong>Meeting Facilitation:</strong> Convene and lead regular review board meetings, fostering collaborative discussions between engineering teams and business leaders to evaluate deployment readiness.</li><li><strong>Risk Mitigation:</strong> Actively monitor high-volume deployment schedules to identify potential conflicts, minimize operational risks, and prevent service degradation.</li><li><strong>Data & Analytics:</strong> Utilize Excel and ServiceNow reporting tools to build dashboards, generate trend forecasts, and deliver actionable insights on process performance.</li><li><strong>Platform Optimization:</strong> Gather, document, and validate business requirements for upcoming ServiceNow upgrades, patches, system enhancements, and new feature releases.</li><li><strong>Cross-Functional Alignment:</strong> Collaborate with adjacent ITSM disciplines—including Incident, Problem, Configuration (CMDB), Asset, and Knowledge Management—to ensure cohesive operational workflows.</li><li><strong>Training & Support:</strong> Serve as the subject matter expert for the team, delivering guidance, documentation, and hands-on training to users regarding governance policies and system functionality.</li><li><strong>Audit Readiness:</strong> Maintain rigorous documentation, ensure high data quality within system records, and enforce compliance standards to satisfy internal and external audit requirements.</li></ul><p><br></p>
We are looking for a Systems Analyst to join a contract opportunity with permanent potential in Jacksonville, Florida. This role supports business-critical systems with an emphasis on data analysis, automation, and warehouse operations, while partnering with both technical and operational teams to improve performance and reporting. The ideal candidate brings strong experience in SQL, Python scripting, and warehouse management platforms, along with the ability to turn business needs into practical system solutions.<br><br>Responsibilities:<br>• Evaluate operational workflows and gather business needs to define effective system-based solutions.<br>• Create and maintain SQL queries, stored procedures, and reporting outputs that support daily operations and decision-making.<br>• Develop Python-based tools and scripts to automate recurring processes, transform data, and support integrations.<br>• Administer and improve warehouse management system functionality to strengthen inventory control, order fulfillment, and logistics performance.<br>• Collaborate with IT, supply chain, and business stakeholders to uncover process gaps and recommend system enhancements.<br>• Investigate application and data issues, perform root cause analysis, and implement sustainable fixes.<br>• Produce clear documentation for system behavior, technical configurations, workflows, and support procedures.<br>• Assist with testing, validation, and rollout activities for system updates, enhancements, and integrated solutions.