Top Data Engineering Jobs in Charlotte, NC

Leads Webflow’s analytics engineering function and long-term enterprise data architecture strategy. Responsibilities include managing and developing an analytics engineering team, building scalable data models and infrastructure, establishing a governed semantic layer, and enforcing standards for data quality, metadata, lineage, access control, and documentation. The role partners with analytics and business teams to define trusted metrics, enable self-service and conversational data access, and advance AI-native data capabilities.

Build, operate, and optimize production-grade data pipelines and data products for healthcare and audience applications using Python, SQL, Airflow, Snowflake, S3, and EMR. Implement data models, data-quality controls, privacy-by-design for PHI/PII, onboarding and integration, monitoring, and runbooks while partnering with product, analytics, and platform teams.

Design, develop, test, and support scalable batch and real-time data pipelines. Partner across teams to define requirements, implement data governance, automate monitoring, troubleshoot performance, and mentor peers while productionalizing big data solutions on cloud platforms.

Lead design and build of a new graph-backed enterprise data platform: architect graph and relational storage, ingestion and ETL/ELT pipelines, entity resolution, temporal models, governance, APIs, and production deployments across cloud and customer-hosted environments.

As a Data Engineer at NinjaOne, you'll develop scalable data pipelines, manage relational databases, automate workflows, ensure data integrity, build dashboards, and collaborate with cross-functional teams to support data-driven decision-making.

The Senior Catastrophe Analyst will develop automated processes, design databases, create pricing tools, and provide analytics to drive catastrophe risk management.

Manage a team of data scientists to develop and validate statistical and machine learning models, leveraging large data sets to drive business decisions and ensure model effectiveness within the credit review context.

Leads and develops a team of data engineers supporting People Analytics. Designs scalable data models, pipelines, semantic layers, testing frameworks, and governance practices. Maintains hands-on involvement in production coding, architecture, reviews, and critical AI-assisted analytics workflows. Partners with People Analytics, business, Legal, and Compliance stakeholders to deliver secure, trusted workforce insights while balancing delivery speed, quality, privacy, and regulatory requirements.

Own and develop scalable financial data integration pipelines, models, and infrastructure supporting accounting, billing, revenue operations, financial reporting, and book close. Partner with finance stakeholders to deliver reliable self-service datasets, shape the data strategy and roadmap, mentor engineers, and lead initiatives from design through execution.

Own and develop critical financial data integration pipelines and models supporting accounting, billing, revenue, invoicing, financial reporting, and book-close processes. Partner with finance stakeholders to create reliable, scalable, self-service data solutions; define data standards and strategy; and drive initiatives from design through execution. Mentor engineers, promote engineering excellence, and help shape Instacart’s financial data infrastructure roadmap.