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Remote Google Law Enforcement Jobs in Addison, TX

NTT DATA Services

Google Workspace Stack Director

Plano, TX · On-site +1

$125K - $179K/yr

The starting pay range for this remote role is $125,000 - $179,000. Actual compensation will depend ... If you'd like more information on your EEO rights under the law, please click here. For Pay ...

NTT DATA Services

Google Workspace Stack Director

Plano, TX · On-site +1

$125K - $179K/yr

The starting pay range for this remote role is $125,000 - $179,000. Actual compensation will depend ... If you'd like more information on your EEO rights under the law, please click here. For Pay ...

Axon

Sr Software Technical Account Manager I

Dallas, TX · On-site +1

... law enforcement, corrections, military, or public-safety environment. * Demonstrated ability to provide remote technical support across both hardware and software, including troubleshooting device ...

Flix

Security Expert

Dallas, TX · Remote

Background in law enforcement, military, or federal security is a strong plus. We recognize that ... REMOTE

Flix

Security Expert

Dallas, TX · Remote

Background in law enforcement, military, or federal security is a strong plus. We recognize that ... REMOTE

Flix

Security Expert

Dallas, TX · Remote

Background in law enforcement, military, or federal security is a strong plus. We recognize that ... REMOTE

Greystar

GMS Business Security Leader

Southlake, TX · On-site +1

Build and maintain strong working relationships with local law enforcement and public security ... Strategic thinker with demonstrated leadership experience across distributed or remote business ...

Directive

Director of IT Security (Remote US)

Dallas, TX · Remote

Configure and enforce data governance policies across distributed tools (Notion, Drive, Stratos) to ... Strong knowledge of cloud-first and SaaS-based environments including Google Workspace, Salesforce ...

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All JobsGoogle Law Enforcement JobsRemote Google Law Enforcement JobsRemote Google Law Enforcement Jobs in Addison, TX

Remote Google Law Enforcement information

See Addison, TX salary details

$27.6K

$58K

$91K

How much do remote google law enforcement jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote google law enforcement in Addison, TX is $58,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $66,800.00 per year, depending on experience, location, and employer.

What is a remote Google law enforcement?

A Remote Google Law Enforcement job typically involves working with Google’s legal compliance and law enforcement response teams to process and respond to legal requests for user data. Employees in this role review subpoenas, warrants, and other legal documents from law enforcement agencies, ensuring requests comply with applicable laws and Google’s policies. The job is performed remotely, allowing employees to work from various locations while maintaining strict confidentiality and data security standards. Responsibilities may also include educating law enforcement agencies on Google’s procedures and participating in legal investigations.

What are the key skills and qualifications needed to thrive as a remote Google law enforcement?

To thrive as a Remote Law Enforcement Response Specialist at Google, you need a solid understanding of legal compliance, data privacy, and law enforcement processes, often supported by a relevant degree or experience in criminal justice, law, or compliance. Familiarity with case management systems, secure data handling tools, and sometimes certifications in privacy or cyber law are typical requirements. Exceptional attention to detail, strong analytical thinking, and effective communication skills are essential soft skills for this role. These competencies ensure accurate, timely, and lawful processing of law enforcement requests while safeguarding user privacy and upholding legal standards.

What are some common challenges faced by professionals in remote Google law enforcement roles, and how can they be addressed?

Professionals in Remote Google Law Enforcement roles often encounter challenges such as managing sensitive data requests from global law enforcement agencies, staying updated on evolving privacy laws, and ensuring secure digital communication. Balancing legal compliance with user privacy, while working remotely, also demands rigorous attention to detail and thorough documentation. Building strong communication skills and leveraging secure collaboration tools can help address these challenges, as does staying current with regular training on data protection and international regulations.

What is the difference between Remote Google Law Enforcement vs Remote Google Security Analyst?

AspectRemote Google Law EnforcementRemote Google Security Analyst
Required CredentialsLaw enforcement certifications, background checksSecurity certifications (e.g., CISSP, CISA), technical skills
Work EnvironmentCollaborates with legal and law enforcement agencies, often in a remote or office settingAnalyzes security data, monitors systems remotely, reports vulnerabilities
Employer & Industry UsageGoogle collaborates with law enforcement for legal compliance and investigationsGoogle's internal security teams or external clients for cybersecurity

Remote Google Law Enforcement focuses on legal compliance and collaboration with law enforcement agencies, requiring law enforcement credentials. In contrast, Remote Google Security Analysts primarily analyze security threats and vulnerabilities, requiring technical security certifications. Both roles may work remotely but serve different functions within Google's ecosystem.

What cities near Addison, TX are hiring for Remote Google Law Enforcement jobs?

Cities near Addison, TX with the most Remote Google Law Enforcement job openings:

Remote Google Law Enforcement jobs near you
Infographic showing various Remote Google Law Enforcement job openings in Addison, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $58,049 per year, or $27.9 per hour.

Google Cloud Data Migration Lead

IT America Inc

Dallas, TX • Remote

Contractor

Re-posted 14 days ago

Job description

Position: Google Cloud Data Migration – Data Migration Team Lead

Location: Remote

Duration: Long term contract

Job Summary:

Seeking a Google Cloud data engineer to design, build, and maintain scalable and efficient data processing systems on the Google Cloud platform. This engineer will be responsible for the entire data lifecycle, from ingestion and storage to processing, transformation, and analysis. Their work will enable client organizations to make data-driven decisions by providing clean, high-quality data to business intelligence tools, AI systems, analysts and data scientists.

Key Responsibilities:

  • Serve as Data Migration team leader for a large data and application migration to the Google Cloud platform.
  • As Data Migration team leader, this individual will be responsible for our team’s endto-end data architecture and migration planning to support the migration effort as well as future-state client efforts on the Google Cloud platform.
  • As Data Migration team leader, this individual will collaborate closely with the overall Google Cloud migration team leadership, working to deliver a successful application and data migration.
  • Design and build data pipelines: Develop and maintain reliable and scalable batch and real-time data pipelines using GCP tools such as Cloud Dataflow (based on Apache Beam), Cloud Pub/Sub, and Cloud Composer (for Apache Airflow).
  • Create and manage data storage solutions: Implement data warehousing and data lake solutions using GCP products like BigQuery, Cloud Storage, and other transactional or NoSQL databases such as CloudSQL or Bigtable.
  • Ensure data quality and integrity: Develop and enforce procedures for data governance, quality control, and validation throughout the data pipeline to ensure data is accurate and reliable.
  • Optimize performance and cost: Monitor data infrastructure and pipelines to identify and resolve performance bottlenecks, ensuring that all data solutions are cost-effective and scalable.
  • Collaborate with other teams: Work closely with data scientists, analysts, and business stakeholders to gather requirements and understand data needs, translating them into technical specifications.
  • Automate and orchestrate workflows: Automate data processes and manage complex workflows using tools like Cloud Composer.
  • Implement security: Design and enforce data security and access controls using GCP Identity and Access Management (IAM) and other best practices.
  • Maintain documentation: Create and maintain clear documentation for data pipelines, architecture, and operational procedures.

Required Skills & Qualifications:

  • GCP Certified professional
  • 8+ years of data engineering experience developing large data pipelines in very complex environments
  • Very Strong SQL skills and ability to build very complex transformation data pipelines using custom ETL framework in Google BigQuery environment
  • Very strong understanding of data migration methods and tooling, with hands-on experience in at least three (3) data migrations to Google Cloud

Google Cloud Platform: Hands-on experience with key GCP data services is essential, including:

  1. BigQuery: For data warehousing and analytics.
  2. Cloud Dataflow: For building and managing data pipelines.
  3. Cloud Storage: For storing large volumes of data.
  4. Cloud Composer: For orchestrating workflows.
  5. Cloud Pub/Sub: For real-time messaging and event ingestion.
  6. DataProc: For running Apache Spark and other open-source frameworks.
  • Programming languages: Strong proficiency in programming languages, most commonly Python, is mandatory. Experience with Java or Scala is also preferred.
  • SQL expertise: Advanced SQL skills for data analysis, transformation, and optimization within BigQuery and other databases.
  • ETL/ELT: Deep knowledge of Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes.
  • Infrastructure as Code (IaC): Experience with tools like Terraform for deploying and managing cloud infrastructure.
  • CI/CD: Familiarity with continuous integration and continuous deployment (CI/CD) pipelines using tools such as GitHub Actions or Jenkins.
  • Data modeling: Understanding of data modeling, data warehousing, and data lake concepts