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EverOps

Senior DataOps Engineer

EverOps

Senior DataOps Engineer managing Azure SQL environments at EverOps. Focused on automation and operational efficiency in data operations.

Posted 7/6/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
AzureETLPythonSQLSSIS

About the role

Key responsibilities & impact
  • Own day-to-day operations of Azure SQL Managed Instance environments including performance monitoring, troubleshooting blocking and long-running queries, index and statistics maintenance, and SQL Agent job management
  • Monitor, triage, and restart Azure Data Factory pipeline runs; understand ETL dependencies and troubleshoot integration failures between ADF, SQL MI, and Azure Storage
  • Manage SSIS package execution and re-runs, including HR/personnel integration processes and common failure pattern diagnosis
  • Support Azure infrastructure operations including App Services, App Service Environments, deployment slots, WebJobs, Storage Accounts, and certificate lifecycle management
  • Validate and test database backups, restores, and job chains to ensure recoverability
  • Continuously inventory manual operational tasks across the data stack and prioritize them for automation
  • Design and implement automation solutions using PowerShell, Python, Azure Automation, Logic Apps, or Azure Functions to eliminate repetitive manual work
  • Build self-healing pipeline patterns in ADF and Azure DevOps – automatic retry logic, alerting, and recovery runbooks
  • Build and maintain CI/CD pipelines in Azure DevOps for data platform and infrastructure deployments
  • Participate in regular customer and internal EverOps scrums
  • Diagnose and differentiate between application-layer, data platform, and infrastructure-layer issues
  • Produce high-quality daily operational reports and documentation
  • Participate in the off-hours on-call rotation and perform planned off-hours maintenance as required

Requirements

What you’ll need
  • 5+ years of professional experience as a DBA, DataOps Engineer, or Platform/Site Reliability Engineer with a strong data focus
  • Deep hands-on experience with Microsoft Azure – including SQL Managed Instance, Azure Data Factory, App Services, and Azure Storage
  • Strong MSSQL administration background including performance tuning, backup/restore operations, and SQL Agent job management
  • Experience working on or directly supporting a platform team in an enterprise environment
  • Hands-on experience with Azure DevOps Pipelines for data platform and infrastructure deployments
  • Strong scripting skills in PowerShell, T-SQL, Python, or Bash for operational automation
  • Proven experience identifying manual toil in a data or operations environment and shipping automation to replace it
  • Hands-on experience with at least one Azure automation tool – Azure Automation Runbooks, Logic Apps, Azure Functions, or Event Grid
  • Clear, concise written communication capable of producing daily operational reports and shift handoffs that stand on their own
  • Comfort making independent troubleshooting decisions during off-hours on-call coverage
  • Strong pattern recognition for operational troubleshooting across data, application, and infrastructure tiers
  • Ability to balance planned maintenance work with unplanned operational incidents

Benefits

Comp & perks
  • 100% remote workplace – We’ve been remote since Day 1!
  • Unlimited Paid Time Off
  • Equity – If you display ownership of the work you’re doing you’ll become a true owner of the company
  • 401K with company contribution
  • Company sponsored healthcare
  • Competitive compensation including on-call rotation compensation
  • Opportunities to accelerate professional growth with access to Azure training and certification programs

ATS Keywords

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Hard Skills & Tools
Performance TuningBackup/Restore OperationsSQL Agent Job ManagementETL Dependencies UnderstandingAutomation Solution DesignOperational TroubleshootingData Platform SupportAzure Automation ToolsT-SQL ScriptingBash Scripting
Soft Skills
Clear Written CommunicationIndependent Decision-MakingPattern Recognition