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IT Data Integration, DevOps Analyst

DevOps EngineerDevOps EngineerFull TimeRemoteTeam 51-200Since 1985H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

86 days ago

Salary

$105K - $110K / year

Bachelor Degree5 yrs expEnglishAzureETLPythonSQL

Job Description

• Design, build, and maintain data integrations across operational systems, Dataverse, Azure Synapse Analytics, and Dynamics 365. • Ensure synchronization, accuracy, availability, and consistency of data between operational and analytical environments. • Develop, support, and optimize ETL and ELT processes for analytics and reporting platforms, including Power BI. • Monitor and improve data quality through validation rules, reconciliation processes, profiling, and quality checks. • Develop and maintain CI/CD pipelines for data and application components using Azure DevOps and related tools. • Automate deployments and manage environment configurations to ensure consistent release processes across environments. • Monitor data pipelines and system performance; troubleshoot integration, pipeline, and deployment issues. • Collaborate closely with the Business Data Analyst to align data models, integration logic, and structures with reporting requirements. • Develop and maintain data models for both operational and dimensional databases. • Maintain clear technical documentation for data flows, integrations, transformations, and DevOps processes. • Collaborate with Solutions Architects, Integration Developers, vendors, and IT leadership on platform enhancements and issue resolution.

Job Requirements

  • Five (5) or more years of experience in data integration, data management, or DevOps within Microsoft-based environments.
  • Hands-on experience with Azure Synapse Analytics, Azure Data Factory, Dataverse, and Dynamics 365 integrations.
  • Strong proficiency in SQL, data modeling, and data transformation.
  • Experience supporting CI/CD pipelines using Azure DevOps or similar tools.
  • Familiarity with APIs, ETL/ELT processes, and system integration best practices.
  • Understanding of Power BI datasets, dataflows, and enterprise data connectivity.
  • Knowledge of data governance, security, and compliance standards such as FERPA.
  • Experience with automation scripting using PowerShell or Python preferred.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Strong collaboration and communication skills, including working with vendors and cross-functional teams.
  • Bachelor’s degree required in information systems, computer science, data engineering, or equivalent experience; master’s degree preferred.
  • Proactive, organized, and committed to documentation and continuous improvement.

Benefits

  • Highly competitive health benefits with significant employer contribution
  • Dental, vision, and life insurance
  • 403(b) retirement plan with employer contribution
  • Generous paid time off, holidays, and leave programs
  • Professional development opportunities

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