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Remote Gcp Data Engineer Jobs in Kansas (NOW HIRING)

This is a remote opportunity for individuals in Canada or the United States. As a Director, Cloud ... Partner across engineering, data, and security, and platform teams to embed responsible AI ...

New

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Flexible Remote Workday | Business partners may work remote one day per week. * Access to ...

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Flexible Remote Workday | Business partners may work remote one day per week. * Access to ...

... data modeling and SQL (PostgreSQL) * Architecture-level experience with cloud technologies - GCP ... Must be able to sit and view a computer screen for extended periods of time #LI-TC1 #LI-Remote ...

As a Senior Civil Engineer on our Data Center Civil Team, you will be a part of the firm's largest ... fully remote in various locations of the US. This role includes flexible work options to ...

As a Project Civil Engineer on our Data Center Civil Team, you will be a part of the firm's largest ... fully remote in various locations of the US. This role includes flexible work options to ...

As a Licensed Civil Engineer on the Data Center Civil team, you will be a part of the firm ... fully remote in various locations of the US. This role includes flexible work options to ...

As a Licensed Civil Engineer on the Data Center Civil team, you will be a part of the firm ... fully remote in various locations of the US. This role includes flexible work options to ...

As a Licensed Civil Engineer on the Data Center Civil team, you will be a part of the firm ... fully remote in various locations of the US. This role includes flexible work options to ...

Showing results 21-40

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 popular job titles related to Remote Gcp Data Engineer jobs in Kansas? For Remote Gcp Data Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Gcp Data Engineer jobs in Kansas look for? The top searched job categories for Remote Gcp Data Engineer jobs in Kansas are:
What cities in Kansas are hiring for Remote Gcp Data Engineer jobs? Cities in Kansas with the most Remote Gcp Data Engineer job openings:
Infographic showing various Remote Gcp Data Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

Posted yesterday

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Job description

Scopely is seeking a Director, Cloud Governance to lead efforts in establishing and enforcing standards, policies, and guardrails across Scopely's multi-cloud environment.  This is a remote opportunity for individuals in Canada or the United States.

As a Director, Cloud Governance you will play a pivotal leadership role in defining and executing the Scopely's Cloud Governance strategy. This team will define, implement, and enforce the policies and controls that govern how cloud infrastructure is used across a decentralized organization of game, platform, and product teams.

This role is critical to bringing structure, consistency, and guardrails to Scopely's cloud footprint, and will be key in modernizing our overall governance posture. As a central leader, you will drive alignment across highly autonomous teams and translate governance into practical, adoptable solutions while balancing control and development velocity.

This is a foundational leadership role; you will establish governance from the ground up, introduce scalable and enforceable controls, and drive adoption and buy-in across various teams, stakeholders, and senior leaders.

What You Will DoBuild & Lead Cloud Governance
  • Build and lead a Cloud Governance team
  • Define the operating model for how governance partners with game teams, security, and FinOps
  • Establish clear ownership and enforcement mechanisms for cloud policies

Define & Enforce Cloud Guardrails

  • Design and implement enforceable controls across AWS and GCP, including:
    • AWS Organizations, Service Control Policies (SCPs)
    • GCP Organization Policies and IAM constraints
  • Establish guardrails around:
    • Resource provisioning and service usage
    • Region restrictions and data residency
    • Identity and access management
    • Network architecture and environment isolation
  • Own the mandate to enforce policies, including the ability to restrict or block non-compliant usage

Standardize Cloud Structure

  • Define and implement standards for:
    • AWS account structure and GCP project/folder hierarchy
    • Environment segmentation (prod, staging, dev)
    • Naming conventions and resource organization
  • Bring consistency across a fragmented, multi-team cloud footprint

Tagging & Governance

  • Define and enforce tagging standards in partnership with FinOps
  • Ensure all resources are attributable (ownership, environment, cost center)
  • Enable downstream cost allocation and operational visibility
Stakeholder Partnership
  • Collaborate with FinOps on cost allocation and optimization levers (budgets, quotas, usage controls)
  • Partner with Security to align governance with security and compliance requirements
  • Work directly with game teams to safely roll out and drive adoption of policies and standards
AI-Forward Governance & Automation
  • Define and execute an AI-native vision for cloud governance, transforming the function into an intelligent, policy-driven operating model powered by autonomous and agentic systems
  • Establish the organization's strategy for governance autonomy, defining where fully autonomous operations, human-on-the-loop oversight, and human-in-the-loop approvals are appropriate based on risk, business impact, and compliance requirements
  • Architect and drive agentic governance capabilities that continuously monitor cloud environments, detect risk, and autonomously remediate anomalies at scale
  • Partner across engineering, data, and security, and platform teams to embed responsible AI governance into cloud platforms, establishing guardrails for AI adoption, autonomous decision-making, and auditability
What We're Looking For
  • 10+ years in cloud infrastructure, platform engineering, or SRE
  • 3-5+ years leading teams in complex, multi-team environments
  • Experience operating in decentralized or federated engineering organizations
  • Proven track record implementing cloud governance and enforcement at scale
  • Experience managing or influencing environments with $50M+ cloud spend
  • Deep hands-on experience with AWS and/or GCP
  • Strong experience with Infrastructure as Code (e.g., Terraform)
  • Experience with policy-as-code and governance tooling (e.g., OPA, Sentinel, AWS Config)
  • Strong understanding of cloud networking, identity, and multi-account design