Data Engineer

• Design, build, and maintain scalable data pipelines to ingest, transform, and process operational data.
• Develop modern ETL/ELT workflows that deliver reliable, high-quality datasets.
• Help design a scalable data warehouse/lakehouse architecture using modern cloud technologies.
• Work closely with business stakeholders to understand reporting and analytics requirements.
• Improve data quality, consistency, governance, and documentation across the platform.
• Identify gaps in existing data collection and recommend improvements to tracking and data models.
• Enable self-service analytics by delivering clean, well-structured datasets for downstream BI tools.
• Prepare data models that support advanced analytics, machine learning, and customer-facing insights.
• Contribute to establishing data engineering best practices, standards, and scalable architecture.

Senior Data Engineer

• Partner with the CTO and leadership to set the Intelligence strategy and roadmap; own the execution.
• Build, hire, and develop the Intelligence team — set the bar for craft, shape the operating cadence, and build the collaboration patterns with product, platform, and engineering.
• Stand up the canonical data substrate: schema discipline, tenancy isolation, data contracts, lineage, and governance that AI/ML workloads run cleanly against.
• Stand up the ML and AI platform: model lifecycle, feature store, vector store, training and serving infrastructure, and MLOps practice.
• Lead the learning and reasoning capabilities of the platform: RAG architectures, agentic data systems, knowledge graphs, and the patterns that let Stratus's data compound into platform intelligence.
• Develop and drive evaluation frameworks measuring model quality, agent reliability, drift, and platform effectiveness — make AI workloads observable to engineering, product, and customer success.
• Drive the build-vs-buy posture for the AI/ML stack; set production readiness standards for AI workloads in close collaboration with the platform team.
• Partner with product on the AI use case portfolio; engage directly with customers when needed to ground Intelligence decisions in real workflow problems.

Lead Data Engineer

• Develop long-term technical vision for the team
• Design technical strategy to develop components, frameworks and libraries to create seamless applications for our customers
• Hands-on development of scalable components and applications
• Mentor engineers including senior and junior engineers on their team
• Improve and uphold standards for engineering and operational excellence
• Create and encourage comprehensive documentation for code, libraries, and components to facilitate collaboration and knowledge sharing within the team

• Build, scale, and maintain robust data solutions.
• Implement and optimize high-performance data pipelines: extraction, loading, transformation, and orchestration – that are designed for scalability, reliability, maintainability, and speed.
• Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments
• Collaborate closely with business stakeholders to transform use cases into production-ready services and solutions, owning the system from concept to production.
• Implement rigorous testing and monitoring practices to maintain superior data quality and integrity.

• Join phData, a dynamic and innovative leader in the modern data stack.
• Partner with major cloud data platforms to deliver cutting-edge services and solutions.
• Help global enterprises overcome their toughest data challenges.
• Maintain a casual, exciting work environment while delivering results.
• Ensure performance, security, scalability, and robust data integration for technical solutions.

• Maintain, troubleshoot, and optimize a data ingestion pipeline built with Java and Python.
• Implement new features and improvements that keep our systems efficient and scalable.
• Write clean, testable, and well-documented code.
• Participate in code reviews and share ideas that raise the bar for our engineering practices.
• Stay curious and up to date with emerging technologies and best practices in data engineering.

Data Engineer jobs in Latin America

See all jobs on JobTailor

Senior Data Engineer

Lead Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Engineer