Top Data Engineer Jobs in Charlotte, NC

Lead design and engineering of an enterprise graph database platform for fraud and claims. Build graph data models, large-scale pipelines, optimize hybrid/cloud platforms, improve data governance, and consult cross-functionally to resolve high-risk data engineering challenges.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

The role involves architecting and maintaining marketing databases, implementing data infrastructure for AI/ML, managing data pipelines, and collaborating with stakeholders to develop data-driven solutions.

The Data Engineer will build and maintain data solutions, optimize data architectures, and ensure data quality while collaborating with cross-functional teams.

The Data Engineer III role involves designing and maintaining scalable data pipelines, modernizing data flows, and improving data quality within Cedar's healthcare system. Collaboration with various teams is essential to ensure accurate data delivery and governance standards are met.

Design, develop, deploy, and improve machine learning models for fraud detection and cybersecurity. Collaborate with teams to address business challenges and impacts.

The Full Stack Data Discovery Engineer will design scalable data pipelines, develop APIs and crawlers, and analyze external data. Responsibilities include conducting searches, data governance, and collaborating with stakeholders to integrate new data sources.

Design, develop, and improve machine learning models for fraud detection and cybersecurity. Collaborate with teams on real-time analytics and model deployment, ensuring compliance and performance in a high-impact role.

Lead design, development, testing and implementation of post-trade and data platform components for equities. Drive complex initiatives, mentor engineers, ensure operational monitoring, compliance, risk management, and collaborate with production support, platform teams, and stakeholders to deliver a scalable, low-latency post-trade and analytics platform.

Design, build, and maintain scalable data pipelines, automate workflows with Airflow/Python, develop PostgreSQL models, deploy analytics across Linux environments, and create Power BI datasets and dashboards to support Finance, Operations, and Customer tools.

The Test/Data Engineer collaborates with teams to collect, analyze, and report data on pump performance, improving engineering and manufacturing processes.

As a Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.

The Lead AI Data Engineer designs and optimizes ETL/ELT pipelines, mentors team members, collaborates on data models, and implements best practices in data governance and security.

Develops ETL processes and database systems, ensures data integrity, collaborates with clients, leads solution development, and mentors junior engineers.

Lead the buildout of a new enterprise data platform, designing infrastructure, pipelines, and storage while ensuring data governance and quality.

As a Backend Engineer, you will design and implement core infrastructure for Vannevar's platform, ensuring standards for data processing, security compliance, and performance. You will collaborate with various teams to enhance shared infrastructure and lead technical initiatives.

The Senior Data Engineer will design, develop, and maintain robust data pipelines, collaborate with teams, and enhance data architecture.

The Senior Data Engineer will manage PostgreSQL databases, develop data engineering solutions, and support ETL processes using various technologies while collaborating across teams to enhance data quality and infrastructure.

As a Senior Data Engineer, you'll design and implement scalable data systems, optimize performance, and lead projects while collaborating with teams to enhance data solutions.

This role involves architecting an AI-powered data pipeline platform, leading teams, collaborating with stakeholders, and promoting best practices in cloud-native development.

Lead AI data engineering initiatives, implement AI data pipelines, develop AI-driven systems, collaborate across teams, and mentor juniors. Ensure data reliability and implement best practices in engineering.

As a Senior Software Engineer on the Data Platform team at Coinbase, you will design, build, and operate data services, manage data pipelines, and ensure data security and observability.

As a Senior Data Engineer, you will design scalable data solutions, build data pipelines, and support MLOps and Generative AI development while mentoring junior engineers.

As a Senior Data Platform Engineer, you will oversee the administration of Databricks and AWS, manage data engineering dev ecosystems, collaborate with teams on data needs, and mentor junior staff.

Build and maintain data onboarding pipelines and automation to extract, transform, validate, and import retailer data from legacy POS systems. Optimize performance, ensure data quality, and collaborate with onboarding, product, and operations teams to scale retailer onboarding.