1946 Data Engineer (Python)

Reposted 12 Hours Ago
Be an Early Applicant
Hiring Remotely in Brazil
Remote
Senior level
Digital Media • Consulting
The Role
As a Senior Data Engineer, you will create scalable backend services, manage data pipelines, and integrate AI features, ensuring performance and reliability.
Summary Generated by Built In
📌 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.

#LI

Skills Required

  • 5-7 years of professional experience with Python and Java/Spring Boot
  • 5+ years building production-grade pipelines with ETL tools (dbt and Airflow)
  • 3+ years of experience with Snowflake, Redshift, Spark, or Kafka
  • Bachelor's or Master's in a technical field
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The Company
HQ: Austin, TX
208 Employees
Year Founded: 2013

What We Do

In All Media is a cutting-edge technology and innovation consulting organization, facilitating digital transformation in multiple industries. We have partnered with top-tier organizations such as NBCUniversal, Sony DADC, Aclara Technologies, and Dun & Bradstreet, among other leading companies worldwide. In All Media harnesses the collaborative synergy of all our international talent pool using Agile methodologies, to deliver excellence efficiently and with the utmost quality. At In All Media, we believe in diversity and autonomy. Our new model brings together a global managed community, with experts guiding and managing talented engineers; working to bring together the best talent in the world, regardless of where they are. We are not only evolving in terms of technology, but also in terms of In All Media as a re-imagined technology consultancy in step with the Fourth Industrial Revolution. Our community of 200+ experts and engineers are very motivated by different challenges in their field, and apply continuous learning to stay ahead of the curve in their expertise on new developments and innovative technologies. Our delivery model is based on Agile, On-site, and Near Shore capabilities to maximize team integration and provide the best value to our clients. We partner holistically with our clients in the co-creation of services and products, and follow streamlined Agile processes throughout. This makes In All Media a truly global company driven by a community of dedicated, talented individuals self-organizing into multi-disciplinary teams, producing the best possible output for our world-class clients. We're hiring! Email us your CV: [email protected] Contact Us: [email protected]

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