IT Data Integration & DevOps Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an IT Data Integration & DevOps Analyst based in the United States.

This role offers the opportunity to become a key technical specialist responsible for enterprise data integration and DevOps across a Microsoft-based technology ecosystem.
You will design and optimize data pipelines, integrations, APIs, and transformation processes that support critical business operations and decision-making.
The position combines hands-on data engineering with DevOps, automation, deployment, and operational reliability.
You will help ensure data remains accurate, secure, accessible, and scalable for reporting, analytics, automation, and emerging AI initiatives.
Working closely with technical teams, business stakeholders, and IT leadership, you will translate organizational needs into dependable technology solutions.
This is a high-impact opportunity for a technically strong professional who enjoys solving complex integration challenges and improving systems continuously.
The role is remote-first, offers meaningful flexibility, and provides the chance to contribute to a mission-driven organization.

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.