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Remote Azure Data Factory Jobs in Seguin, TX (NOW HIRING)

Dark Wolf Solutions

Google Cloud Engineer

San Antonio, TX · Remote

$50.25 - $67.25/hr

Experience with DoD/DISA cybersecurity policies This position will be hybrid / remote based out of a Dark Wolf Hub: Herndon VA, Tampa FL, Colorado Springs CO, Ogden UT, or Omaha NE. The salary range ...

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How much do remote azure data factory jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote azure data factory in Seguin, TX is $51.92, according to ZipRecruiter salary data. Most workers in this role earn between $47.02 and $58.32 per hour, depending on experience, location, and employer.

What is a remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What are the key skills and qualifications needed to thrive as a remote Azure Data Factory engineer, and why are they important?

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

What cities near Seguin, TX are hiring for Remote Azure Data Factory jobs?

Cities near Seguin, TX with the most Remote Azure Data Factory job openings:

Remote Azure Data Factory jobs near you

Google Cloud Engineer

Dark Wolf Solutions

San Antonio, TX • Remote

$50.25 - $67.25/hr

Full-time, Contractor

Posted 18 days ago

Job description

Dark Wolf is looking for Google Cloud Engineers are responsible for designing, implementing, and managing Google Cloud Platform (GCP) solutions for our customers. The ideal candidate will have a deep understanding of GCP services and technologies, as well as experience in designing and implementing scalable, reliable, and secure cloud solutions.

Responsibilities:

  • Driving and implementing technology solutions on Google Cloud.
  • Working with customers, partners, and internal project team members to understand customer business requirements and translate into actionable engineering tasks.
  • Developing and maintaining infrastructure as code (IaC) using tools such as Terraform.
  • Configuring and managing GCP services such as Compute Engine, App Engine, Google Kubernetes Engine, Cloud Storage, and Cloud SQL.
  • Architecting and implementing security best practices for GCP solutions using products such as Assured Workloads, Cloud Logging, Cloud Monitoring, and Security Command Center.
  • Staying up-to-date on the latest GCP services and technologies and their applicability to the Public Sector space.

Mid Level Required Qualifications:

  • Bachelor's degree in computer science or a related field
  • 3+ years of experience in cloud computing
  • 1+ years of experience with GCP
  • 1+ years of experience with one or more programming languages (e.g. Python)
  • Strong understanding of Google Cloud services and technologies
  • Experience leading technical teams including delegating tasks, reviewing designs and completed tasks by team members, and coaching junior team members
  • Experience designing and implementing scalable, reliable, and secure cloud solutions
  • Experience developing technical architecture documents, driving design decisions, developing documentation artifacts, and presenting technical solutions to clients and executive level leaders
  • Experience with infrastructure automation using IaC tools such as Terraform
  • Strong understanding of DevOps practices and experience implementing CI/CD in cloud environments
  • Excellent communication and teamwork skills
  • Ability to work collaboratively with the broader team as well as independently
  • US Citizenship and active Secret clearance

Mid Level Preferred Qualifications:

  • At least one Google Cloud Professional Certification
  • Experience working within Agile teams
  • Experience working with Google Cloud compliance products such as Security Command Center and Assured Workloads
  • Experience working with customers in the U.S. Public Sector
  • Experience with DoD/DISA cybersecurity policies

Senior Level Qualifications:

  • Bachelor's degree in computer science or a related field
  • 8+ years of experience in cloud computing
  • 3+ years of experience with GCP
  • 5+ years of experience with one or more programming languages (e.g. Python)
  • Strong understanding of Google Cloud services and technologies
  • Experience leading technical teams including delegating tasks, reviewing designs and completed tasks by team members, and coaching junior team members
  • Experience designing and implementing scalable, reliable, and secure cloud solutions
  • Experience developing technical architecture documents, driving design decisions, developing documentation artifacts, and presenting technical solutions to clients and executive level leaders
  • Experience with infrastructure automation using IaC tools such as Terraform
  • Strong understanding of DevOps practices and experience implementing CI/CD in cloud environments
  • Excellent communication and teamwork skills
  • Ability to work collaboratively with the broader team as well as independently
  • At least one Google Cloud Professional Certification
  • US Citizenship and active Secret clearance

Senior Level Preferred Qualifications:

  • Experience working within Agile teams
  • Experience working with Google Cloud compliance products such as Security Command Center and Assured Workloads
  • Experience working with customers in the U.S. Public Sector
  • Experience with DoD/DISA cybersecurity policies

This position will be hybrid / remote based out of a Dark Wolf Hub: Herndon VA, Tampa FL, Colorado Springs CO, Ogden UT, or Omaha NE.

The salary range for this position is estimated to be the following, commensurate on experience and technical skillset.

  • Mid Level: $120,000.00 - $160,000.00
  • Senior Level: $160,000.00 - $190,000.00

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.