Data Engineer (AI Platforms), LATAM

OpenVPN Inc.; Brasil; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A tech company focused on data solutions is seeking a skilled Data Engineer to design and optimize robust data pipelines. This fully remote role offers a chance to work on cutting-edge AI projects and shape the future of the industry. Ideal candidates have over 4 years of experience in data engineering and are proficient in SQL, Python, and cloud technologies. Competitive pay and a self-managed work environment are included.

Serviços

Competitive pay rates

Fully remote work environments

Self-managed time off

Qualificações

• 4+ years of experience in a data engineering role.
• Proven track record of building complex data systems.
• Excellent communication and documentation skills.

Responsabilidades

• Design and optimize data pipelines for AI solutions.
• Collaborate with AI/ML teams for model productionization.
• Champion data governance and compliance.

Conhecimentos

Data engineering experience

SQL expertise

Cloud databases

Python or JAVA programming

Communication skills

Ferramentas

Google BigQuery

CloudSQL (PostgreSQL)

Docker

Event-streaming platforms

Descrição da oferta de emprego

Are you passionate about building the data foundations for a new generation of AI? We're looking for a skilled Data Engineer to be a major contributor to our company's intelligent future. You won't just be maintaining systems; you'll be at the heart of building, scaling, and deploying the data and AI platforms that will redefine how we deliver data solutions.

This is an opportunity to make a significant impact by transforming our data landscape and enabling cutting-edge AI and agentic workflows.

Our philosophy is that we are a small, close-knit team, and we care deeply about you:

• Competitive pay rates
• Fully remote work environments
• Self-managed time off

Important: This is a full-time remote job, and it will be a long-term B2B contract.

On our website in JD, you can see the locations for this role: Argentina, Brazil, Chile, Colombia, Costa Rica, Dominican Republic, Ecuador, Mexico, Panama, Peru

What You'll Do

• Design, build, and optimize robust, scalable data pipelines, leading the migration from legacy systems to our modern, AI-centric platform.
• Evolve our data models and schemas to better support complex analytics, AI training, and fine-tuning workloads.
• Collaborate with AI/ML teams to productionize models, streamline training data delivery, and support the development of sophisticated agentic systems.
• Empower the organization by partnering with BI developers and analysts to design highly efficient queries and unlock new insights.
• Champion data governance and compliance, ensuring our data handling practices remain secure and trustworthy as we innovate.
  

Challenges You'll Help Us Tackle

• Modernize Our Data Backbone: Lead the charge in migrating our historical data flows to cutting-edge, AI-driven workflows.
• Shape the Future of our AI: Redesign our datasets and schemas to be well aligned for training and fine-tuning next-generation models.
• Build the Brains of the Operation: Play an important role in the infrastructure that supports powerful, data-driven Agentic Agents.
• Scale with Intelligence: Help us build a data ecosystem that is not only powerful today but is ready for the demands of tomorrow's AI.

• Proven experience (4+ years) in a data engineering role, with a track record of building and managing complex data systems.

• Deep expertise in SQL and query optimization.
• Hands-on experience with cloud data warehouses and databases, specifically Google BigQuery and CloudSQL (PostgreSQL).
• Programming experience with Python or JAVA.
• A proactive and self-motivated & managed mindset, perfect for a fully remote environment with a high degree of autonomy.
• Excellent communication and documentation skills; you can clearly articulate complex technical concepts to diverse audiences.
• The ability to work a flexible schedule and the readiness to respond to occasional off-hours emergencies.
  

Bonus Points For

• AI/ML Tooling: Experience with Google's VertexAI platform.
• Programming Languages: Proficiency in Go.
• DE tools: familiarity with dbt and airflow.
• Streaming Data: Familiarity with event-streaming platforms like Apache Kafka.
• Streaming Analytics: Real time streaming analytics.
• DevOps & Infrastructure: Experience with containerization (Docker) and serverless compute (Google Cloud Run).
• Legacy Systems: Experience with Perl or PHP is a plus.