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Cloud Engineer - Data

go-cloudforce · National Harbor, MD
Full-timeCloud SolutionsTechnology$111,000–$150,000/yr
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About the Cloud Engineer Data role

Cloud Engineer Data positions focus on delivering results in their domain. This page aggregates open Cloud Engineer Data roles and what employers typically expect.

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience – plus a performance bonus of up to 10% of annual salary, paid in quarterly increments If you're a cloud/data engineer who's energized by complex data challenges, passionate about the Microsoft data ecosystem, and ready to do work that actually matters to clients — this is the role you've been looking for. Cloudforce is seeking an experienced engineer to join our growing data practice. You'll be designing, building, and maintaining sophisticated data solutions on Microsoft Azure and Microsoft Fabric for high-profile clients across the US and Europe — working on projects that are technically demanding and genuinely consequential. This isn't a role where you'll be maintaining someone else's pipelines or responding to tickets. You'll be architecting solutions from the ground up, translating complex business data requirements into scalable, reliable architectures, and contributing to a practice that's at the forefront AI and of the Microsoft data platform. You'll bring deep expertise in Azure data services, strong hands-on experience with data engineering tools and frameworks, and the communication skills to work effectively with both technical teams and client stakeholders. Like all engineering at Cloudforce, this is a team-oriented role — you'll work alongside fellow engineers as part of structured project teams, with a clear path forward for those who want to grow.

Salary estimate

$111,000 – $150,000/yr
Provided by the employer.

Skills for this role

AzureCommunication

Resume tips for Cloud Engineer Data applicants

Interview preparation

Prepare concrete STAR-format stories that show Cloud Engineer Data outcomes you drove.

Research the employer's product and recent news before the interview.

Be ready to explain how you'd approach a typical Cloud Engineer Data problem end to end.

Have thoughtful questions ready about the team, tools and success metrics.

About go-cloudforce

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