Top Data & Analytics Jobs in Raleigh-Durham, NC

Designs and optimizes scalable data platforms, architectures, and production pipelines supporting AI and machine learning. Responsibilities include Databricks Lakehouse development, batch and real-time processing, data governance, security, monitoring, performance tuning, infrastructure planning, and collaboration with DevOps, MLOps, and cross-functional teams. The role serves as the AI team’s data engineering subject matter expert and ensures reliable, secure, cost-effective data solutions.

Build and operate data-intensive web products and APIs, extend high-throughput ETL pipelines and scrapers, ensure reliability/observability, design self-scaling services, participate in code review, and collaborate across product, data, and infrastructure teams to meet production SLAs.

Designs and advances Providence’s enterprise data platform through data architecture, governance, metadata management, Snowflake modernization, legacy migrations, and scalable integration patterns. Establishes engineering, DataOps, CI/CD, repository, and data quality standards while supporting analytics, reporting, AI, and data products. Collaborates across multidisciplinary teams to implement large-scale data initiatives in a healthcare environment.

Performs account- and portfolio-level catastrophe modeling for commercial property insurance using vendor software and internal tools. Responsibilities include validating property data, analyzing aggregate exposures and portfolio trends, supporting underwriters, delivering results to actuarial, reinsurance, and finance teams, maintaining quality controls, and developing reports and training materials. The role requires strong quantitative analysis, insurance knowledge, advanced Excel and SQL skills, and effective stakeholder communication.

The Director of Data owns the company’s data platform, governed metrics, client identity resolution, data quality, privacy controls, and AI-ready datasets. This leader manages the data team, establishes governance and operating standards, oversees warehouse and pipeline architecture, and ensures reliable data for Finance, leadership, products, and ML/LLM systems. The role requires hands-on technical leadership, roadmap ownership, stakeholder communication, and accountability for data reliability, lineage, security, and platform costs.

Analyze credit portfolio and loan performance, forecast losses, identify risks and opportunities, and develop strategies to improve credit outcomes and origination volume. Use SQL, Python, dashboards, and visualizations to deliver actionable insights. Present recommendations to stakeholders and senior leaders while managing analytical projects, A/B tests, roadmaps, and business priorities independently.

Lead data engineering strategy and develop enterprise data lake solutions on AWS. Build data pipelines using AWS data integration, engineering, and analytics resources, develop API services with FastAPI or Flask, optimize engineering practices, create long-term data plans, and represent the team in executive meetings.

Lead the architecture and hands-on development of an AI-enabled data migration platform for legal software. Own extraction, transformation, orchestration, data quality, observability, and scalable go-live workflows. Partner with product management to define roadmap priorities, lead a focused engineering team, make architectural decisions, contribute code, and apply AI to migration assessment, mapping, validation, and automation.

Provides senior SQL Server database engineering and DBA services for client environments. Responsibilities include performance tuning, cloud database architecture, high availability and disaster recovery, capacity planning, automation, monitoring, migrations, deployment scripting, root-cause analysis, and client advisory services across AWS and Azure.

Develops and maintains core backend systems, databases, data workflows, integrations, and SQL solutions supporting federal healthcare TPA services. Responsibilities include database design, stored procedures, performance tuning, ETL/ELT, APIs, EDI, cloud data technologies, modernization, interoperability, and secure handling of healthcare data. Collaborates with architects, analysts, QA, operational teams, data engineers, and vendors. The role is remote with up to 10% travel and requires an MBI (T2) background investigation.