IT Data Integration & DevOps Analyst

Accountabilities

• • Design, develop, maintain, and optimize enterprise data integrations, ETL/ELT processes, APIs, data flows, and pipelines across Microsoft technologies, including Azure Synapse, Data Factory, Dataverse, and Dynamics 365.
  • Ensure enterprise data is accurate, consistent, secure, available, and reliable across operational and analytical environments.
  • Develop data models, transformation processes, and structures that support reporting, business intelligence, analytics, machine learning, and AI-enabled capabilities.
  • Monitor and improve data quality through profiling, reconciliation, validation, quality controls, governance, and stewardship practices.
  • Support data security, compliance, and governance initiatives while ensuring technology solutions align with organizational and regulatory requirements.
  • Build, maintain, and optimize CI/CD pipelines, deployment automation, environment configurations, and release management processes using DevOps best practices.
  • Support reliable deployments across development, testing, and production environments while monitoring system performance and resolving integration, data, and deployment issues.
  • Partner with business stakeholders, technical teams, and IT leadership to align data solutions and platform capabilities with business objectives and reporting needs.
  • Create and maintain comprehensive technical documentation and continuously identify opportunities to improve reliability, scalability, automation, and operational efficiency.
  • Stay current with emerging technologies, tools, and best practices through ongoing professional development.

  Requirements

  • 5+ years of experience in data management, systems integration, data engineering, DevOps, or a related technical discipline, preferably within Microsoft-based environments.
  • Hands-on expertise with Azure Synapse Analytics, Azure Data Factory, Dataverse, Dynamics 365, Azure DevOps, and related Microsoft technologies.
  • Strong proficiency in SQL, data modeling, database design, data transformation, and enterprise data integration.
  • Demonstrated experience developing and supporting ETL/ELT pipelines, APIs, and large-scale data solutions.
  • Practical knowledge of CI/CD pipelines, release management, automation, and DevOps methodologies.
  • Experience with scripting and automation using tools such as PowerShell and Python.
  • Familiarity with Power BI, enterprise reporting architectures, data governance, and data quality practices.
  • Strong analytical, troubleshooting, and problem-solving abilities, with a solution-oriented approach to complex technical challenges.
  • Excellent communication and relationship-building skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
  • Bachelor’s degree in Information Systems, Computer Science, Data Engineering, or a related discipline is required; an advanced degree is preferred.
  • Ability to work independently while contributing effectively within cross-functional teams and managing competing priorities.
  • Authorization to work in the United States is required; employment visa sponsorship is not available.

  Benefits

  • Salary: $105,000–$110,000 per year.
  • Work model: Remote-first culture with flexibility and trust; onsite work may be required as needed.
  • Schedule: 35-hour work week.
  • Healthcare: Health insurance with significant employer contribution, plus dental and vision coverage.
  • Insurance: Life insurance included.
  • Retirement: 403(b) retirement plan with a 10% employer contribution after one year.
  • Parental leave: 16 weeks of parental leave after one year.
  • Flexible spending: Healthcare and dependent care FSA options.
  • Time off: Generous PTO, including holidays, vacation, and sick leave.
  • Professional growth: Professional development opportunities designed to support continued learning, career advancement, and long-term growth.
  • Work environment: Mission-driven, inclusive culture focused on employee well-being, engagement, and professional development.
  • Travel: Minimal travel, as needed.