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AI Summary
📌 Position: Senior Data Engineer (AI Ecosystem)
Location: Remote from LATAM
Contract Type: Full-time vendor (Contracted via Inallmedia.com)
Time Zone Alignment: Central Time (CT)
🧭 About Inallmedia.com
Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
🚀 Project Overview
You will join a high-impact engineering squad dedicated to evolving user-facing experiences through AI-driven features and intelligent workflows. As a Senior Data Engineer, your mission is to bridge the gap between raw data collection and application logic. You will be instrumental in building a cohesive, intelligent ecosystem that powers modern user interactions, working within a fast-paced Agile environment that prioritizes innovation and architectural excellence.
🔍 Key Responsibilities
- Service Development: Design and build scalable backend microservices using Java, Spring Boot, and Gradle.
- Data Pipeline Engineering: Architect and maintain robust ETL/ELT pipelines using Python and dbt to ensure seamless data flow across the ecosystem.
- API Architecture: Design high-quality RESTful APIs that connect sophisticated frontend experiences to complex backend data systems.
- Big Data Management: Optimize and manage data storage across SQL and NoSQL environments, leveraging technologies like Snowflake or Redshift.
- Workflow Orchestration: Utilize Airflow to manage and schedule complex data workflows and dependencies.
- AI Integration: Evolve backend services to support AI-powered features, ensuring infrastructure is prepared for LLM-driven and intelligent user experiences.
- System Reliability: Troubleshoot distributed systems, lead code reviews, and participate in architectural brainstorming to ensure peak performance and reliability.
💡 Must-Have Skills
- Dual Language Expertise: 5–7 years of professional experience working with Python (for data engineering) and Java/Spring Boot (for service layers).
- Data Engineering Mastery: 5+ years building production-grade pipelines with ETL tools (specifically dbt) and Airflow.
- Big Data Stack: 3+ years of hands-on experience with Snowflake, Redshift, Spark, or Kafka.
- Database Proficiency: Extensive experience navigating and optimizing both SQL and NoSQL environments.
- Backend Fundamentals: Strong grasp of REST API design, Gradle, and microservices architecture in a distributed environment.
- Education: Bachelor’s or Master’s degree in a technical field (Computer Science, Math, Statistics, or equivalent).
- Remote Fluency: Proven experience working in Agile teams within 100% remote environments.
- Fluent English: Excellent verbal and written communication skills for daily technical collaboration.
🌟 Nice-to-Have Skills
- AI/LLM Interest: Previous exposure to integrating machine learning models or intelligent workflows into backend services.
- Cloud Ecosystems: Familiarity with AWS or GCP cloud infrastructure and deployment patterns.
- Soft Skills: A self-starter mindset with the critical thinking skills necessary to manage competing priorities in a dynamic project.
🌐 Location & Time Zone
This position is 100% remote for candidates based in LATAM. To ensure effective collaboration with our North American partners, the role requires full alignment with Central Time (CT) business hours.
💬 Language
All interviews, technical documentation, and daily stand-ups will be conducted exclusively in English.
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