Remote Internship Data Engineering Jobs in Houston, TX

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced GCP Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Work you'll do

As a GCP Engineer on the AI & Data team, you will be responsible for...

• Build, configure, and support GCP-based data lake and data platform environments, including integrations
• Translate approved technical designs into implementation tasks, configurations, and deployment steps
• Develop and support cloud-based data pipelines, platform components, and environment setup activities
• Partner with delivery teams, architects, and stakeholders to support implementation, testing, and release readiness
• Troubleshoot platform issues and support ongoing performance, stability, and operational needs

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines

The team

AI & Engineering leverages engineering capabilities to build, deploy, and operate sector-focused solutions across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients modernize technology and data platforms and apply engineering to mission-critical operations. Our AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help organizations scale their analytics and AI capabilities.

Qualifications

Required:

• Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or equivalent experience
• 5+ years of experience with Google Cloud Platform cloud services, configuration, or implementation
• Experience building or supporting cloud-based data platforms, data lakes, or data engineering solutions in Google Cloud Platform
• Experience developing or supporting data pipelines and platform integrations
• Experience translating technical designs into implementation tasks and deployment steps
• Limited immigration sponsorship may be available.
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

• Experience in consulting, including experience serving healthcare industry clients

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced GCP Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Work you'll do

As a GCP Engineer on the AI & Data team, you will be responsible for...

• Build, configure, and support GCP-based data lake and data platform environments, including integrations
• Translate approved technical designs into implementation tasks, configurations, and deployment steps
• Develop and support cloud-based data pipelines, platform components, and environment setup activities
• Partner with delivery teams, architects, and stakeholders to support implementation, testing, and release readiness
• Troubleshoot platform issues and support ongoing performance, stability, and operational needs

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines

The team

AI & Engineering leverages engineering capabilities to build, deploy, and operate sector-focused solutions across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients modernize technology and data platforms and apply engineering to mission-critical operations. Our AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help organizations scale their analytics and AI capabilities.

Qualifications

Required:

• Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or equivalent experience
• 5+ years of experience with Google Cloud Platform cloud services, configuration, or implementation
• Experience building or supporting cloud-based data platforms, data lakes, or data engineering solutions in Google Cloud Platform
• Experience developing or supporting data pipelines and platform integrations
• Experience translating technical designs into implementation tasks and deployment steps
• Limited immigration sponsorship may be available.
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

• Experience in consulting, including experience serving healthcare industry clients