Top Data & Analytics Jobs in Raleigh, NC

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.

Lead design and implementation of data infrastructure, pipelines, and integrations using cloud platforms. Manage teams and client accounts, ensure data quality, security, and compliance, deploy scalable solutions (Databricks, Snowflake), mentor junior staff, and identify data-driven business opportunities.

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

Design, build, and maintain scalable ETL/ELT pipelines and lakehouse data platforms on Azure and Databricks. Implement Medallion architecture and Delta Lake, enforce data governance and quality, optimize pipeline performance, and support CI/CD and environment promotion to deliver reliable financial reporting and analytics data products.

As a Senior Data Engineer, you will implement data ingestion patterns, build pipelines in Azure, and enhance development with AI tools, aiding the migration to a cloud-based architecture.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

Lead complex data engineering initiatives: design, develop, and run tooling to detect data/application issues; evaluate software enhancements; consult with partners to resolve high-risk data engineering challenges; drive technology decisions and deliverables.

As a Data Coordinator Associate, you will monitor live sports data accuracy during games, resolve discrepancies, and support operational processes based on real-time data.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

The Principal Statistician leads statistical analysis for clinical trials, develops protocols, ensures regulatory compliance, and trains staff. Responsibilities include communication with teams and stakeholders, statistical deliverable reviews, and auditing preparation.

The SAP Business Analyst will gather requirements, define RTR needs, lead workshops, and support SAP S/4HANA implementation with a focus on the CO module.