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Senior GCP Data Engineer
Minor Hotels Europe and AmericasSenior Staff Data Engineer designing and building scalable data platforms on GCP. Collaborate with cross-functional teams for analytics and AI/ML use cases in a fast-paced environment.
Posted 5/23/2026full-timeRemote • Tennessee • 🇺🇸 United StatesSenior💰 $73,150 - $174,000 per yearWebsite
Tech Stack
Tools & technologiesBigQueryCloudETLGoogle Cloud PlatformKafkaPythonSparkSQL
About the role
Key responsibilities & impact- Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform.
- Develop automated workflows and data platforms that support analytics, reporting, and AI/ML use cases.
- Implement best practices for data security, governance, CI/CD, and automated deployment.
- Collaborate with data engineers, architects, data scientists, and business stakeholders.
- Produce high-quality, reusable code and mentor team members on best practices.
- Support testing, deployment, monitoring, and production troubleshooting.
Requirements
What you’ll need- 7+ years of IT experience with 5+ years in Data Architecture
- Minimum 2+ years of hands-on experience with Google Cloud Platform
- 2+ years of API development experience
- Solid understanding of Agile methodologies
- Strong problem-solving, communication, and collaboration skills
- Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs.
- Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures.
- Experience with CI/CD, Git/GitHub, and Agile methodologies.
- Strong communication skills and ability to mentor junior engineers.
- Preferred Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI.
- Google Cloud Professional Data Engineer Certification.
- Bachelor’s degree in computer science or related field (Master’s preferred).
Benefits
Comp & perks- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
ATS Keywords
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Hard Skills & Tools
data architectureAPI developmentSQLdata modelingETLELTstreaming architecturesPythonBigQueryCI/CD
Soft Skills
problem-solvingcommunicationcollaborationmentoring
Certifications
Google Cloud Professional Data Engineer Certification