Top Data Engineer Jobs in Charlotte, NC

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.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

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.

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 Senior Data Engineer handles ChowNow's data platform, collaborating with teams to enhance data availability and insights, supporting internal and customer-facing products.

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 Data Engineer will design and implement a cloud data warehouse using Snowflake and dbt, focusing on data vault modeling, ETL/ELT processes, and data quality frameworks while supporting cloud migration efforts.

The role involves developing data solutions, integrating and transforming data, collaborating with stakeholders, and monitoring performance to support decision-making processes.

As a Senior Associate, you will analyze complex issues, mentor junior members, and maintain data integrity through testing and validation processes.

Lead the development of AI solutions and data engineering strategies. Implement AI data pipelines, collaborate with teams, and ensure the reliability of data systems.

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

The role involves leading AI-driven data engineering initiatives, developing data solutions, pipelines, and mentoring junior engineers while ensuring scalable and reliable systems.

In this full stack role, you will build features around data pipelines and LLMs, create web APIs, and work on analytics tools ensuring data quality and processing capabilities.

The Senior Data Engineer will lead data architecture design, build reliable data pipelines, mentor team members, ensure data quality, and optimize ETL processes.

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

Lead the design and migration of a data platform architecture. Manage data pipelines, mentor teams, and ensure platform reliability.

The Senior Data Engineer will build and maintain data pipelines, create reusable data sets, and ensure data privacy and security, contributing to healthcare innovations.

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.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Senior Data Engineer will design and build scalable ELT/ETL pipelines, improve data quality, and collaborate with teams to ensure accurate data delivery and operational excellence within Cedar's data platform.

The GTM Data Engineer designs and manages a customer and revenue data foundation, ensuring data quality and availability for Marketing, Sales, and Customer Success teams, while overseeing data integration and reporting.

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.

The Data Engineer will develop data pipelines on AWS, Azure, or GCP, advise clients on cloud resources, and collaborate with users to optimize data architecture.

Lead the technical strategy for Coinbase's Data Platform, architecting data systems for AI/ML workloads and ensuring data reliability, performance, and cross-functional alignment.