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Engineering & Data tools Specialist

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data science Data Science Remotejobs
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Role Title: Engineering & Data tools Specialist Role Type: Contractor Location: Remote micro1 is engaging Engineering & Data tools Specialists to contribute expertise to a dynamic customer project focused on engineering and data tooling. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This is an opportunity to work with a diverse tech stack, leverage your cloud and infrastructure knowledge, and provide valuable feedback on industry-leading tools across both engineering and data domains. Scope of Work - Evaluate and provide insights on the usability and effectiveness of engineering and data tools such as GitHub, Azure, Metabase, and JIRA. - Create comprehensive documentation and feedback reports based on real-world tool usage and best practices in engineering environments. - Design, review, and test workflows integrating cloud solutions (e.g., AWS, Azure, Firebase) and developer productivity platforms (e.g., Linear, Postman, n8n). - Analyze data visualization, monitoring, and CI/CD tools—including Tableau, Datadog, Sentry, and BrowserStack—for integration potential and process improvements. - Contribute to the development of detailed use cases, technical guides, and process documentation for new features and data workflows. - Collaborate closely with project stakeholders via strong written and verbal communication, delivering actionable recommendations and technical insights. Preferred Qualifications - 3+ years direct, hands-on experience with engineering, developer tooling, and cloud infrastructure platforms. - Proficiency with a variety of tools, including GitHub, Postman, AWS, Firebase, Azure, Datadog, Sentry, JIRA, Linear, n8n, Twilio, Databricks, Tableau, Metabase, and BrowserStack. - Exceptional written and verbal communication skills, with a strong focus on clarity and technical accuracy. - Bachelor’s degree in computer science, engineering, data science, or equivalent practical experience. - Demonstrated ability to synthesize complex technical feedback into actionable improvement proposals. - Experience supporting both cloud/infrastructure and developer tooling domains is highly desirable. - Self-driven, detail-oriented, and comfortable working in an independent, remote contributor capacity.

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