Top Data Engineer Jobs in Charlotte, NC

The Staff Data Engineer will design and optimize data infrastructure, support multiple teams, and ensure data quality and integrity across projects.

The Data Engineer will design ETL pipelines, manage automated dashboards, and enhance data workflows, driving data-driven decisions in dynamic environments.

The Senior Engineer will optimize data platforms, develop data retrieval orchestrators, and enhance data pipeline efficiency using advanced tools and languages.

The Data Scientist/Data Engineer will analyze large datasets, build data pipelines, improve analytical workflows, and present insights for Yahoo's search and advertising products.

As a Data Engineer III, you'll design and implement automated data lake solutions, collaborate with Agile teams, and centralize data for analytics.

The Principal Data Engineer will maintain and expand MongoDB solutions, collaborate with engineers, and guide the architecture of no-sql data stores, while mentoring team members.

The Data Engineer will build and maintain data pipelines in Azure Databricks, collaborating with cross-functional teams to support data-driven decisions and optimize data infrastructure.

As a Senior Data Engineer, you will develop and maintain ETL pipelines, design scalable systems, troubleshoot production issues, and mentor team members while ensuring best practices are followed.

As a Data Engineer, you'll build, maintain, and scale data pipelines, support analytics, collaborate with teams, and develop long-term data strategies.

You will set technical direction and implement a streaming data processing engine, work closely with teams, and drive engineering improvements.

As a Senior Data Engineer at SailPoint, you will design and build scalable data solutions, lead projects, and contribute to AI/ML product development.

The Data Engineer designs, develops, and maintains data pipelines, collaborates with teams to improve models, and monitors data quality.

The Staff Engineer will lead initiatives in system reliability, guide architectural decisions, mentor engineers, and design improvements for distributed query systems in MongoDB Atlas.

As a Support Data Engineer II, you will help resolve database application issues, manage alerts, and ensure performance in a 24/7 Linux environment.

The Data Engineer will develop data pipelines, maintain data models, collaborate with data scientists, and contribute to cloud-based solutions to enhance business insights.

In this role, you will lead initiatives in data engineering, developing and optimizing ETL processes and scalable data pipelines. You will work with data analysts and business stakeholders to improve data quality and accessibility while resolving complex data challenges and overseeing data integration efforts.

The Real-Time Cloud Data Integration Engineer will design and develop data integration solutions, ensuring data quality and efficiency, while collaborating across teams to meet data requirements.