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Remote Gcp Data Engineer Jobs in Tennessee (NOW HIRING)

Revecore

Senior Data Engineer

Franklin, TN · Remote

$102K - $138K/yr

Remote-USA Revecore is embarking on re-architecting and modernizing its core platform. The Data ... The Senior Data Engineer will join the Technology function, solving complex data problems for the ...

Unum UK

Sr. Data Engineer - CX Analytics

Chattanooga, TN · Remote

$104K - $125K/yr

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Core Data Engineer Capabilities: Deep expertise in at least two of the following, with basic ...

United Airlines

GCP Solution Architect

Nashville, TN · On-site +1

$86K - $203K/yr

Working with GCP team for various GCP Cloud programs including Certifications, Partner engineering ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Revecore

Data Operations Analyst

Franklin, TN · Remote

Remote-USA Revecoreis embarking on re-architecting and modernizing its core platform. The Data ... Collaborate with Data Engineering to support data ingestion, file processing, and pipeline ...

Revecore

Senior Machine Learning Engineer

Franklin, TN · Remote

$118K - $155K/yr

Remote - USA As a Senior Machine Learning Engineer (individual contributor) atRevecore, you will ... Use yourexpertisein machine learning, exploratory data analysis, and software engineering to ...

Koniag, Inc.

Data Scientist (Remote)

Nashville, TN · On-site +1

This position is Remote. We offer competitive compensation and an extraordinary benefits package ... engineering pipelines that prepare raw call center operational data from multiple sources for ...

kgs

Data Scientist (Remote)

Nashville, TN · Remote

This position is Remote. We offer competitive compensation and an extraordinary benefits package ... engineering pipelines that prepare raw call center operational data from multiple sources for ...

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Remote Gcp Data Engineer information

What are the key skills and qualifications needed to thrive as a remote GCP data engineer, and why are they important?

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

How does a remote GCP data engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

What is the difference between Remote Gcp Data Engineer vs Remote Data Analyst?

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What is a remote GCP data engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.

What are the most commonly searched types of Gcp Data Engineer jobs in Tennessee?

The most popular types of Gcp Data Engineer jobs in Tennessee are:

What are popular job titles related to Remote Gcp Data Engineer jobs in Tennessee?

For Remote Gcp Data Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Remote Gcp Data Engineer jobs in Tennessee look for?

The top searched job categories for Remote Gcp Data Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Remote Gcp Data Engineer jobs?

Cities in Tennessee with the most Remote Gcp Data Engineer job openings:

Remote Gcp Data Engineer jobs near you

GCP Infrastructure Automation Engineer - Remote

micro1 AI

Memphis, TN • Remote

$20 - $300/hr

Part-time

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

GCP DevOps Engineer


Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as a GCP DevOps Engineer and play a crucial role in designing, building, and maintaining modern cloud infrastructure solutions. You will collaborate closely with talented engineers and stakeholders to deliver scalable, reliable, and secure environments on Google Cloud Platform (GCP). We are seeking a proactive professional with a passion for infrastructure automation and a strong commitment to clear, effective communication.


Key Responsibilities:

• Design, implement, and manage scalable cloud infrastructure solutions on GCP.

• Automate deployment, monitoring, and management processes using industry-leading DevOps practices.

• Administer and optimize Kubernetes clusters for maximum reliability and performance.

• Collaborate with development teams to streamline CI/CD pipelines and refine workflows.

• Ensure the security and compliance of cloud environments by applying best practices.

• Proactively identify and resolve infrastructure bottlenecks and incidents.

• Document solutions and processes with a focus on clarity and thoroughness to support team knowledge sharing.


Required Skills and Qualifications:

• Strong hands-on experience with Google Cloud Platform (GCP).

• Deep expertise in implementing and operating cloud infrastructure in production settings.

• Proficiency with Kubernetes administration and orchestration.

• Solid understanding of DevOps methodologies, tools, and best practices.

• Experience building and maintaining CI/CD pipelines.

• Competence with infrastructure-as-code tools (e.g., Terraform, Deployment Manager).

• Excellent written and verbal communication skills; ability to convey complex concepts clearly.


Preferred Qualifications:

• GCP certifications such as Associate Cloud Engineer or Professional DevOps Engineer.

• Experience with hybrid or multi-cloud environments.

• Familiarity with security best practices and compliance standards relevant to cloud-native architectures.


Compensation & Benefits Notice


The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer


The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

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