Back-End Data Engineer

Job not on LinkedIn

🕒 October 13

🌐 Brazil, Argentina, +2 more countries – Remote

🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote 🇪🇨 Ecuador – Remote 🇵🇪 Peru – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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In All Media

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

In All Media is a global community-driven service organization specializing in agile development services. The company focuses on developing digital solutions through a collaborative approach that leverages swarming intelligence and team dynamics. They are dedicated to aligning industry needs with the interests of their technical community members, who possess extensive experience in various domains such as UX/UI design, quality engineering, cloud computing, big data, Salesforce, and more. In All Media emphasizes a secure development environment and a strong collaborative spirit, striving for innovation and excellence in software production. Their model relies on pre-established teams with substantial past experience working together, ensuring efficient and effective delivery of customized development solutions.

📋 Description

• Model new data structures and safely modify existing schemas based on evolving application requirements • Work across relational SQL and document-based MongoDB databases, selecting optimal data models and access patterns • Resolve data-quality, consistency, and performance issues in production applications • Troubleshoot complex data flows between API and database layers • Collaborate with backend, front-end, and product teams on application features and scalable data solutions • Review database code and schemas • Safely deploy database changes into production using Continuous Delivery practices • Define and contribute to data-quality standards, testing strategies, and automated testing frameworks

🎯 Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field • Minimum of 5 years of experience delivering, shipping, and maintaining production software solutions • Deep production experience with Microsoft SQL Server • Experience with relational schema design, complex query development, stored procedures, indexing strategies, and performance optimization • Hands-on experience with MongoDB, including document modeling, schema design, and integration with relational systems • Strong understanding of JSON, REST APIs, database security, testing, and data movement through application services • Strong experience using distributed version-control systems, including Git/GitHub • Familiarity with agile software-development practices • Strong verbal and written communication skills • Exceptional attention to detail and a practical approach to quality, simplicity, and timely delivery • Candidates must overlap at least 4–5 hours daily with US-based stakeholders aligned to Central Time (CT), USA) • Nice to have: experience with Azure Data Factory (ADF) or Microsoft Fabric • Nice to have: experience supporting broader data pipelines • Nice to have: working knowledge of Python • Nice to have: experience with JavaScript, Node.js, or Joi

🏖️ Benefits

• Remote work • Collaboration with distributed teams across LATAM • Work on high-scale platforms and impactful digital solutions • Long-term technical expertise, product innovation, and team augmentation projects • Collaboration with international clients across industries

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