Top Remote Data Engineer Jobs in Charlotte, NC

In this role, you will manage data for clinical trials, oversee data monitoring and management activities, maintain data quality according to the Data Management Plan, and collaborate with colleagues to promote operational excellence while documenting lessons learned to enhance cross-study learning.

As a Data Verification Specialist, you will examine and verify data, ensuring its accuracy and completeness. You'll maintain data integrity, conduct outreach calls to confirm information, and follow established procedures for data entry and security.

As a Big Data Architect at Arity, you will design and implement scalable architecture solutions for real-time, high-performance systems. Collaborating with cross-functional teams, you'll address complex challenges in high-throughput, low-latency computing, while enhancing existing architectures and mentoring peers.

As a Senior Consultant at Analytics8, you will work collaboratively on consulting projects with various companies, crafting high-quality project documentation, managing project timelines, and providing effective training. You'll leverage your technical skills in analytics and data management to analyze requirements and support client engagements, all while enhancing your career through diverse industry experiences.

As a Senior Data Engineer at Instacart, you will build and maintain data pipelines to support paid marketing campaigns, collaborating with cross-functional teams while ensuring high-quality scalable solutions. You will drive data-driven decisions and enhance marketing strategies.

As an MLOps Engineer, you'll design and implement automated pipelines for deploying ML models, manage model life cycles, optimize cloud infrastructure, collaborate with various teams to ensure model performance, and develop reusable tools to simplify future deployments.

The Data Architect at CapTech will assess client needs, advocate for data management technologies, and provide strategic data architecture solutions to enhance data use and streamline data flows. They will collaborate with stakeholders, drive innovative solutions, and share insights for project improvements.