IT Data Integration & DevOps Analyst

Jobgether; United States; On-site; USD 105,000 - 110,000; Full time

Benefits offered by this job

Remote-first culture

35-hour work week

Health insurance

Dental and vision coverage

403(b) retirement plan with employer"s

Parental leave

Flexible spending accounts

Job summary

Jobgether is seeking an IT Data Integration & DevOps Analyst based in the United States. You will design and optimize data pipelines, integrations, APIs, and transformation processes across a Microsoft-based ecosystem, enabling reporting, analytics, and AI initiatives.

This role combines hands-on data engineering with DevOps, automation, deployment, and operational reliability, collaborating with stakeholders and IT leadership. Remote-first with flexibility and potential onsite as needed.

Qualifications

• Experience with Microsoft data stack (Azure Synapse, Data Factory, Dataverse, Dynamics 365).
• Proficient SQL, data modeling, and enterprise data integration.
• Experience building and supporting ETL/ELT pipelines, APIs, and large-scale data solutions.
• Knowledge of CI/CD, automation, and DevOps methodologies.
• Scripting with PowerShell and Python; Power BI and reporting experience.
• Bachelor’s degree in a related field; advanced degree preferred.

Responsibilities

• Design and optimize enterprise data integrations, ETL/ELT processes, APIs, and data pipelines.
• Maintain data accuracy, security, and availability across environments.
• Develop data models and transformation processes supporting BI, analytics, and AI.
• Monitor data quality, governance, and compliance initiatives.
• Build and optimize CI/CD pipelines and deployment automation.
• Support reliable deployments across dev/test/prod with issue resolution.
• Collaborate with stakeholders and IT leadership to align data solutions with business goals.
• Create comprehensive technical documentation and identify reliability improvements.
• Stay current with emerging data and DevOps technologies and best practices.

Skills

SQL proficiency

Data modeling

ETL/ELT design

CI/CD

Automation

Analytical thinking

Troubleshooting

Communication

Cross-functional collaboration

Independent work

Education

Bachelor's degree in Information Systems, Computer Science, Data Engineering

Tools

Azure Synapse Analytics

Azure Data Factory

Dataverse

Dynamics 365

Azure DevOps

PowerShell

Python

Power BI

SQL

Job description

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.