Top Remote Data Engineer Jobs in Charleston, SC

The Data Engineer will work closely with software engineers to aggregate various data sources and develop actionable dashboards for business leaders at a premier banking client.

The Senior Data Analytics Specialist will collaborate with public safety professionals, providing expert support and developing data analytics solutions. Responsibilities include creating dashboards, training personnel, gathering feedback, and enhancing services, while ensuring clear communication between technical teams and clients.

The Data Analytics Associate will work with public safety professionals to understand their needs and convert them into technical solutions. Responsibilities include providing support and training to clients, developing data analytics dashboards, gathering customer feedback, and collaborating with management to improve processes within public safety operations.

As a Data Solution Consultant at Guidewire, you will engage with property and casualty insurance companies to advise on the Data Platform and its benefits. Your role involves technical sales support, conducting presentations, identifying platform requirements, and collaborating with clients to meet business objectives. You will leverage your data management experience and insurance domain knowledge to drive successful solutions.

As a Big Data Engineer, you will collaborate with cross-functional teams to design and implement scalable data pipelines, ensure data quality, and provide technical support for data migration projects. You will utilize Azure tools and technologies to deliver high-quality data solutions across various business areas.

The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.

As a Big Data Engineer, you will lead data migration efforts and design scalable data pipelines using Azure services. Collaborating with cross-functional teams, you'll ensure data quality and resolve technical challenges during transitions. You'll leverage your extensive IT experience, particularly in Azure Databricks, to develop robust data solutions that meet business needs.

The Mid-Tier Database Administrator will manage SQL Server databases in a Windows environment, focusing on administration, performance tuning, security compliance, backup and recovery, and automation. They will collaborate with developers on database design and implement scripts for efficient operations.

The Database Engineer will design, implement, and manage scalable database systems, develop ETL pipelines for data flow, utilize cloud services for database management, optimize query performance, and ensure data security and compliance.

As a Mid-Level Data Engineer, you will develop, test, and maintain scalable Python applications, collaborating closely with product managers and designers. You will write efficient code, participate in code reviews, troubleshoot issues, and contribute to system architecture.