Cloud Data Engineer

We are seeking a Cloud Data Engineer to play a critical role in designing, building, and optimizing enterprise data solutions. This position is ideal for a highly skilled data professional who enjoys solving complex challenges, working with modern cloud technologies, and delivering scalable systems that support business intelligence, analytics, and AI initiatives.

As a key member of the Data Engineering team, you will own the full software development lifecycle, from design and development through testing, deployment, and ongoing optimization. You will collaborate with business analysts, software developers, and data scientists to create reliable data pipelines, cloud based architectures, and production ready machine learning solutions that enable data driven decision making throughout the organization.

• 5+ years of hands on experience as a Data Engineer, Cloud Data Engineer, or similar data focused development role

• Strong experience with Microsoft SQL Server and C# development is required and considered non negotiable for this position

• Proven experience designing, developing, and maintaining backend data solutions, data processing frameworks, and enterprise data pipelines

• Hands on experience with Databricks, data enrichment processes, and large scale data integration initiatives

• Strong foundation in Microsoft Azure, including Azure data services, Azure security, and modern cloud architecture concepts

• Experience developing scalable data warehouse solutions and advanced SQL based data models

• Demonstrated ability to build, optimize, and support end to end ETL and ELT processes in production environments

• Solid understanding of software development lifecycle practices, source control, testing, deployment, and production support

• Experience supporting cloud based analytics, reporting, artificial intelligence, or machine learning initiatives is highly desirable

• Bachelor’’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field

• Must be authorized to work in the United States as a , or validholder

• Sponsorship is not available now or in the future for this position

• Strong analytical and problem solving abilities with a demonstrated track record of delivering reliable, production ready solutions

• Genuine interest in learning emerging technologies and continuously expanding technical expertise

• Excellent communication, collaboration, and interpersonal skills with the ability to work effectively across technical and business teams

• High degree of integrity and professionalism with experience that accurately reflects hands on technical capabilities

• Ability to thrive in a collaborative, culture driven environment and contribute positively to team success

Preferred Qualifications

• Experience with Azure Foundry and modern AI enabled data platforms

• Experience working with Azure analytics, storage, database, and machine learning services

• Familiarity with distributed computing architectures and large scale cloud data platforms

• Experience with statistical programming languages such as R

• Experience mentoring team members and contributing to technical best practices

Why Join This Opportunity

• Opportunity to influence the future of a growing enterprise data platform

• Exposure to cutting edge cloud, analytics, machine learning, and AI technologies

• Highly collaborative environment with strong executive support for data initiatives

• Ability to work on high impact projects that drive strategic business outcomes

The Intersect Group is partnering with a forward thinking organization that leverages data, analytics, and emerging technologies to drive strategic business decisions. This company is committed to innovation, continuous improvement, and building scalable solutions that empower teams across the enterprise. With a strong investment in cloud technologies, artificial intelligence, and data driven insights, they offer an environment where technical professionals can make a meaningful impact while continuing to grow their expertise.