Top Remote Data Engineer Jobs

The Data Architect will design, develop, and maintain data architecture and infrastructure, ensuring data integrity, security, and accessibility. Responsibilities include creating data models, overseeing data integration, establishing data governance, and optimizing data systems for performance. This role requires collaboration with teams and leadership in data transformation initiatives.

As an Analytics Engineer at Loop, you'll model raw data into clean datasets for analytics, collaborate with data teams, and support data projects, ultimately helping merchants with insights and solutions. Your role will dynamically evolve as the company grows.

As the Operations Data Analyst at GFiber, you will analyze large data sets to provide business insights, support decision-making, and enhance reporting processes. Your role involves presenting findings, collaborating with teams, and developing automated tools for ongoing business analysis.

As a Provider Data Management Representative, you will manage provider directories, enter and audit data records, verify data accuracy, resolve discrepancies, coordinate with provider relations, and maintain communication with internal teams and clients to address provider data issues.

The Support Engineer will manage day-to-day operations of scan data processes, submit and correct files, ensure smooth system performance, troubleshoot issues, and develop scripts using Node.js and SQL. Attention to detail and excellent documentation skills are essential.

The Data Management Specialist will manage enrollments in energy efficiency programs, maintain customer confidentiality, process orders, and coordinate with departments to ensure accurate order fulfillment. The role involves data management, document processing, and problem resolution, ensuring data quality standards and large dataset management.

As a Data Engineer at Qarik, you will design and implement production-quality ETL pipelines, manage data lakes, and create insightful reports and dashboards. Your role involves collaborating with clients to understand their data objectives and employing tools like Databricks and Python for effective data strategies. You will also communicate technical concepts to diverse audiences and ensure optimal performance in data processing.