Engineering & Data tools Specialist
micro1
WorldwideremotePosted 1 month ago
Skill Required
Data-Engineering-SpecialistEngineering-Data-SpecialistData-Tools-DeveloperDeveloper-Tooling-EngineerData EngineerEngineeringDatabricksObservabilityFirebaseTableauDatadogPostmanwrittendesignGitAzureCI/CDCloudJiraAWSCICDAIContract
Key highlights
- Contractor role
- 3+ years direct, hands‑on experience required
- Remote work
- Bachelor’s degree in computer science, engineering, data science, or equivalent practical experience required
- Proficiency with a wide range of engineering and data tools (GitHub, AWS, Azure, etc.)
- No prior AI experience needed
Role overview
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.
Responsibilities
- 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.
Requirements
- 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.
- Self‑driven, detail‑oriented, and comfortable working in an independent, remote contributor capacity.
Nice to have
- Experience supporting both cloud/infrastructure and developer tooling domains is highly desirable.
Benefits
- Remote work
Additional details
- Role Title: Engineering & Data tools Specialist
- Role Type: Contractor
- Location: Remote
- Originally posted on Himalayas
- 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.