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Job Summary (DevOps Engineer – Irving, TX)
- Serve as a DevOps Engineer on the Analytics Platform Engineering team, supporting Azure Synapse and Azure Data Factory.
- Design, implement, and maintain CI/CD pipelines for deploying data pipelines and infrastructure (using Azure DevOps or GitHub Actions).
- Provision, manage, and automate Azure data services (Synapse, ADF, Data Lake, etc.) using Infrastructure as Code (IaC) tools such as Terraform, ARM templates, or Bicep.
- Deploy, manage, and optimize Azure data platforms, including monitoring and troubleshooting data pipeline performance and failures.
- Automate operational tasks and deployments using scripting languages (Python, PowerShell, Bash).
- Enforce platform security by implementing IAM, data encryption, and compliance with data governance policies.
- Collaborate with data engineers, data scientists, and business analysts to deliver robust technical solutions and foster DevOps culture.
- Utilize strong experience in Microsoft Azure (Synapse, ADF, ADLS, Azure Monitor) and DevOps tools (Git, Azure DevOps, GitHub Actions).
- Apply knowledge of ETL/ELT, data modeling, data warehousing, and big data concepts.
- Implement monitoring and logging solutions (Azure Monitor, Log Analytics, Application Insights).
- Demonstrate excellent analytical, problem-solving, and communication skills.
- Preferred: Hold or be willing to obtain Microsoft Azure Data Engineer (DP-203) or Azure DevOps Engineer (AZ-400) certifications.
Key Skills
Ranked by relevance
devops
infrastructure as code
data warehousing
powershell
terraform
big data
python
cicd
git
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- Posted
- Feb 02, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Irving
- Company
- Largeton Group
Industries
Information Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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