Job description

Job Title: Senior Azure DevOps Engineer Location: Remote Pay Rate: $50/hr on W2 Job Summary We are looking for a hands-on DevOps Engineer to support Data Engineering workloads running on Microsoft Azure. The engineer will focus on CI/CD automation, Jenkins pipeline engineering, release management, source control, environment management, and deployment automation, working closely with Data Engineers and cloud/platform teams. Key Responsibilities • Design, develop, maintain, and troubleshoot Jenkins CI/CD pipelines supporting Azure-based data engineering solutions. • Automate build, test, deployment, configuration, and release processes across development, test, QA, and production environments. • Support deployment/release processes for Azure data workloads, including Azure Data Factory, Azure Databricks, Azure Storage/Data Lake, and related services. • Partner with Data Engineers to incorporate data pipelines, notebooks, scripts, configuration, and infrastructure changes into repeatable deployment processes. • Manage Git branching, merging, pull requests, artifacts, and release processes. • Build pipeline-as-code and reusable automation to reduce manual deployment activities. • Troubleshoot failed builds, deployments, permissions, dependencies, credentials, and environment/configuration issues. • Support Azure identity, secrets, service connections, and secure access required by automated pipelines. • Implement deployment controls, approvals, logging, and traceability throughout the CI/CD lifecycle. • Support production deployments, operational troubleshooting, incident resolution, and root-cause analysis. • Maintain pipeline documentation, operational procedures, and support runbooks. • Participate actively in Agile/Scrum ceremonies, including sprint planning, stand-ups, backlog refinement, estimation, demos, retrospectives, and continuous improvement. Skill Requirements • Strong hands-on Jenkins experience • CI/CD pipeline design, development, administration, and troubleshooting • Microsoft Azure experience • DevOps automation supporting data engineering workloads • Git and enterprise source-control practices • PowerShell, Bash, and/or Python scripting • Azure Data Factory and/or Azure Databricks deployment experience • Automated build, test, deployment, and release-management experience • Agile/Scrum delivery experience • Strong troubleshooting and root-cause-analysis skills. Other Requirements • Azure Databricks • Azure Data Factory (ADF) • Microsoft Fabric • Azure Data Lake / Storage • Azure DevOps • Terraform / Infrastructure as Code • Docker and Kubernetes • YAML / JSON • SQL and ETL/ELT understanding • Monitoring/logging for CI/CD and Azure workloads • Jira or Azure Boards experience Notes :- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits : Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law. The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.

Requirements

Must-haves

Job Title: Senior Azure DevOps Engineer
Location: Remote
Pay Rate: $50/hr on W2
Design, develop, maintain, and troubleshoot Jenkins CI/CD pipelines supporting Azure-based data engineering solutions.
Automate build, test, deployment, configuration, and release processes across development, test, QA, and production environments.
Support deployment/release processes for Azure data workloads, including Azure Data Factory, Azure Databricks, Azure Storage/Data Lake, and related services.
Partner with Data Engineers to incorporate data pipelines, notebooks, scripts, configuration, and infrastructure changes into repeatable deployment processes.
Manage Git branching, merging, pull requests, artifacts, and release processes.
Build pipeline-as-code and reusable automation to reduce manual deployment activities.
Troubleshoot failed builds, deployments, permissions, dependencies, credentials, and environment/configuration issues.
Support Azure identity, secrets, service connections, and secure access required by automated pipelines.
Implement deployment controls, approvals, logging, and traceability throughout the CI/CD lifecycle.
Support production deployments, operational troubleshooting, incident resolution, and root-cause analysis.
Maintain pipeline documentation, operational procedures, and support runbooks.
Participate actively in Agile/Scrum ceremonies, including sprint planning, stand-ups, backlog refinement, estimation, demos, retrospectives, and continuous improvement.
Skill Requirements
Strong hands-on Jenkins experience
CI/CD pipeline design, development, administration, and troubleshooting
Microsoft Azure experience
DevOps automation supporting data engineering workloads
Git and enterprise source-control practices
PowerShell, Bash, and/or Python scripting
Azure Data Factory and/or Azure Databricks deployment experience
Automated build, test, deployment, and release-management experience

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azureci/cdagilescrumpythondockerkubernetessqljira

Platform: jobdiva
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision