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Remote Azure Synapse Jobs in Spring, TX (NOW HIRING)

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Remote Azure Synapse information

See Spring, TX salary details

$54.3K

$91.7K

$114.8K

How much do remote azure synapse jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote azure synapse in Spring, TX is $91,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $109,000.00 per year, depending on experience, location, and employer.

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

AspectRemote Azure SynapseData Engineer
Required CredentialsAzure certifications, SQL, data warehousingData engineering certifications, SQL, cloud platform knowledge
Work EnvironmentCloud-based, collaborative, project-focusedOn-premises or cloud, technical, data pipeline development
Industry UsageData analytics, business intelligence, cloud solutionsData infrastructure, ETL processes, data modeling

Remote Azure Synapse specialists focus on implementing and managing data analytics solutions using Azure Synapse Analytics, often working within cloud environments. Data Engineers build and maintain data pipelines and infrastructure, which may involve Azure but also other platforms. While both roles require SQL and cloud knowledge, Azure certifications are common for both. The key difference lies in Azure Synapse's focus on analytics and data integration, whereas Data Engineers have a broader scope in data infrastructure development.

What are popular job titles related to Remote Azure Synapse jobs in Spring, TX?

For Remote Azure Synapse jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Remote Azure Synapse jobs in Spring, TX look for?

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What cities near Spring, TX are hiring for Remote Azure Synapse jobs?

Cities near Spring, TX with the most Remote Azure Synapse job openings:

Remote Azure Synapse jobs near you

Azure Full Stack Engineer (Senior Associate Infrastructure L2)

3B Staffing LLC

Houston, TX • Remote

$124K - $159K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

o Visa copy o Name o Contact Information: Phone | Email o LinkedIn Profile o Current location o Available to join o Available for interview o Rate o Resume attached Job Description Position Title: Azure Full Stack Engineer (Senior Associate Infrastructure L2) Contract Openings: 1 Location: Remote or U.S.-based (preferred candidates with Oil & Gas domain experience!!) Key Focus Areas:
  • AI/ML integration and development within Azure environment
  • Azure Functions and APIM (API Management)
  • Microservices architecture design and implementation
  • Data engineering and Lakehouse architecture (Databricks, Delta Lake, Synapse, etc.)
  • CI/CD pipeline automation (Azure DevOps, Jenkins, GitLab)
  • Oil & Gas industry experience
  • Unity Catalog familiarity (knowledge preferred, not expert level)
Role Overview: As a Senior Associate Infrastructure L2, this individual will design, implement, and manage Azure-based infrastructure with strong DevOps practices. The role involves developing and automating data pipelines, managing microservices, and ensuring secure, scalable, and efficient deployments across environments. Collaboration with data, development, and operations teams is key. Required Skills & Experience
  • 5+ years in cloud infrastructure, DevOps, or full stack engineering.
  • Deep understanding of Azure (preferred) or AWS/GCP.
  • Hands-on experience with:
    • Azure Functions, APIM, Microservices, and CI/CD automation.
    • Terraform, CloudFormation, or Ansible for Infrastructure-as-Code.
    • Containerization: Docker, Kubernetes, or AKS.
    • Scripting: Python, Bash, PowerShell.
    • Monitoring: Prometheus, Grafana, Azure Monitor, Datadog.
  • Understanding of networking, security, and cloud compliance.
  • Familiarity with Unity Catalog and Lakehouse architecture.
  • Domain experience in Oil & Gas preferred.
Preferred Qualifications
  • Azure or AWS certifications (Azure DevOps Engineer Expert, AWS DevOps Engineer).
  • Experience with serverless computing and AI/ML integration.
  • Knowledge of DevSecOps and automation for security compliance.
  • Prior experience in large-scale cloud migration projects.
Core Responsibilities
  • Design, deploy, and maintain scalable Azure cloud infrastructure and microservices.
  • Build and manage CI/CD pipelines using Azure DevOps or Jenkins.
  • Automate deployments and infrastructure provisioning via Terraform, ARM templates, or Ansible.
  • Implement AI/ML models and data pipelines within Azure ecosystem.
  • Monitor infrastructure and optimize for cost, security, and performance.
  • Work with Data Engineering teams on Lakehouse architecture (Databricks, Synapse).
  • Apply DevSecOps principles to ensure compliance and security.
  • Document infrastructure processes and best practices.

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