Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead quantitative analysis and modeling of large real-world health datasets to estimate disease prevalence and incidence. Design statistical and machine learning models, build data pipelines and dashboards, ensure reproducibility and data quality, collaborate with public health experts, and prepare scientific reports and presentations.

Design, build, and maintain scalable cloud and hybrid data platforms, ETL/ELT pipelines, and data models. Implement CI/CD and DevOps practices, ensure data quality, security, and governance, optimize production pipelines, mentor junior engineers, and support data modernization and migration efforts for analytics and operational workloads.

Design, develop, and maintain Power BI dashboards and reports; build data models, DAX measures, and Power Query ETL; perform statistical and geospatial analyses; validate and monitor data quality; collaborate with stakeholders to define KPIs; document solutions and present analytical insights to technical and non-technical audiences to support public health and program decision-making.

Design, build, and maintain scalable data pipelines, Foundry applications, and ontology models using Palantir Foundry. Integrate cloud and enterprise data sources, implement data quality, governance, and metadata practices, and support analytics/AI use cases. Collaborate with stakeholders, support Agile processes, prepare technical documentation, and maintain Public Trust eligibility.

Design, build, and maintain enterprise Power BI dashboards, data models, and ETL workflows. Perform statistical and geospatial analyses, ensure data quality and governance, translate stakeholder needs into KPIs and reports, mentor junior analysts, and present insights to technical and non-technical audiences to support public health and government programs.

Support development and maintenance of data pipelines, cloud-based data platforms, and analytics solutions. Build and test ETL/ELT processes, develop scripts and queries (Python, SQL, PySpark), support AWS/Azure environments, implement CI/CD and Git workflows, monitor and troubleshoot pipelines, perform data validation/QA, document processes, and collaborate with stakeholders while growing technical skills.

Design, build, and maintain Palantir Foundry data pipelines, Ontology models, and user-facing applications. Integrate cloud and enterprise data, implement data quality/governance, support analytics/AI use cases, and collaborate with stakeholders through Agile development practices. Prepare technical documentation and support modernization and deployment activities.

Develops and implements Microsoft Power Platform solutions across discovery, design, development, testing, deployment, training, and support. Builds Canvas and Model-driven Power Apps, automates processes with Power Automate and UiPath, integrates data, designs Dataverse models, and supports SharePoint and Dynamics solutions. Serves as a Power Platform subject matter expert, collaborates with clients and project teams, creates technical documentation, manages governance standards, and resolves production issues.

Leads 24/7 security operations for federal Oracle systems, including SIEM configuration, threat intelligence, log analysis, digital forensics, incident response, security posture assessments, and audit-log retention. Coordinates with ISSOs on RMF and authorization activities, develops detection rules and playbooks, reports SOC metrics, and manages operational staffing, coaching, escalations, remediation, and compliance evidence.

Lead end-to-end Microsoft Power Platform implementations including discovery, design, build, test, and deployment. Develop low-code solutions (Model-driven and Canvas apps), automate processes with Power Automate, create data visualizations, integrate data, maintain coding standards, produce design documentation, support production issues, and act as a Power Platform SME advising on architecture, security, and CoE governance while participating in Agile ceremonies.