Remote Data Jobs · Azure

Join a high-impact project in the mining industry as a Senior Data Solutions Engineer, focused on delivering large-scale data modeling, engineering, and analytics solutions using modern cloud and AI technologies, where you will be responsible for building data products that power operational insights and machine learning at scale.

We are looking for a motivated Data Engineer to join our growing data team. This is a great opportunity for someone early in their career to gain hands-on experience with modern data technologies. You will collaborate closely with senior engineers and analysts to build, maintain, and optimize scalable data pipelines and infrastructure.

Transform how Blue Cross and Blue Shield of Nebraska delivers coverage to members. Design and implement scalable, cloud-based solutions for seamless enrollment. Build data platforms that enable consumer engagement and best-in-class experience. Be a member of a team responsible for ingestion frameworks, data pipelines to process large volumes of poly structure data, and model deployments; as well as understanding the strategic data roadmap and execution of the roadmap.

Experienced Data Architect with deep expertise in Microsoft Azure data services. Responsible for developing and governing enterprise-wide data architecture strategies to ensure consistency, quality, security, and accessibility of data. Designs scalable, modern, cloud-first data solutions aligned with business objectives, bridging business needs into end-to-end data architecture.

The Manager, Data Solutions will design and optimize scalable data warehouse and data lake architectures, integrating AI/ML capabilities and cloud-native technologies to support analytics and business intelligence. You will manage a dedicated Data Solutions team, mentor talent, and ensure alignment of data systems with business goals. The position requires strong technical expertise, leadership skills, and experience implementing data governance and security policies.

The company is looking for two Senior Data Engineers to support a large-scale initiative for the mining industry. You will work with a global delivery team focused on data platform scalability, sensor data modeling, and analytics for real-world operational insights, helping teams unlock value from IoT sensor streams and complex data workflows across geographies.

In this role, you will design and implement modern lakehouse platforms on Azure, enabling self-service access to high-quality data for AI-driven initiatives. You will combine cloud services and best practices to build scalable, secure, and cost-efficient end-to-end data solutions. Collaborating with cross-functional teams, you will define architecture standards, enforce governance, and optimize data operations for performance and reliability.

This role leads the data engineering practice, overseeing data engineering, analytics, machine learning, and data science initiatives across complex, large-scale projects. You will set technical direction, define standards, and ensure delivery excellence while actively mentoring and managing a team of engineers. Working closely with cross-functional stakeholders, you will drive architecture decisions, implement scalable data solutions, and apply your expertise to optimize client outcomes.

This Data Architect position is a member of 3Cloud’s Managed Services team, responsible for ongoing development, support, escalations, and proactive maintenance for our client’s Azure Data Platform solution through the Managed Services teams processes, procedures, and tools. As a Data Architect, you will be a critical part of our core team that is essential to the success of our Managed Services division.

Lead the design, development, and operation of a modern enterprise data platform, driving cloud-based initiatives and enabling actionable insights across the organization. Manage a team of architects, engineers, and specialists, fostering a culture of innovation, technical excellence, and collaboration. Balance strategic oversight with hands-on involvement in data architecture, platform enablement, and integration across diverse tools and technologies.