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Senior Data Engineer: Spark, Airflow & Lakehouse
Build and maintain end-to-end data pipelines using Spark and Airflow, containerize code with Docker/Kubernetes, and enforce data quality in a lakehouse architecture.
Data Engineer
Design and maintain data pipelines, APIs, and integrations using SQL, Apache NiFi, and ETL tools to ensure reliable data flow and reporting for a product-focused company.
Lead Backend Developer - (SAP CAP & BTP)
Lead the architecture and development of a multi-tenant SaaS retail execution platform using SAP BTP and CAP, designing scalable backend services, APIs, and data models.
Senior Data Engineering Expert – Data Hub Finance, AI Transformation
Designs, builds, and maintains data pipelines for a finance-focused AI platform, ensuring reliable ingestion, transformation, and governance of large-scale datasets using Spark, Scala, and HDFS.
Data Engineering Lead
Lead a team to build and maintain Snowflake-based data ingestion pipelines and AWS data platforms for enterprise clients, enforcing Medallion Architecture and data quality standards.
Data Engineering Associate
Build and maintain cloud data pipelines for a global bank, migrating on-premise systems to the cloud and supporting PowerBI reporting for Caribbean teams.
Senior Data Developer (Analytics Engineer), Colombia
Build and own end-to-end data products—ingesting, modeling, and validating data—so AI and analytics teams can deliver accurate, business-ready insights and solutions.
Senior Data Engineering Expert – Data Hub Riesgos, AI Transformation
Designs and runs data pipelines, ensuring clean, governed data flows into AI systems using Spark, Scala, and HDFS.
Senior Ai Data Engineer (Python Backend Experience)
Build and maintain AWS-native data pipelines in Python to onboard client datasets, troubleshoot production workflows, and ensure reliable data flow for AI-driven analytics and fintech clients.
Remote Senior Full-Stack AI Engineer – Data & AI Platform
Senior full-stack engineer building AI-powered data pipelines and agents for media ad performance analytics, using React and vector-based data layers.
AI-First Senior Support Engineer: Full-Stack & Data Platform
Maintains an AI-first analytics platform, handling full-stack and data-stack components, semantic layers, and embedded analytics using Claude Code.
Senior AI Data Engineer, Python Backend
Build and maintain AWS-native data pipelines in Python to onboard and standardize client data, ensuring high availability and compliance.
Big Data Engineer — PySpark, Kafka, Onsite Colombia
Designs and builds large-scale data pipelines using PySpark and Scala, focusing on real-time ingestion and data quality for global clients.
Senior AI Data Engineer (Python Backend experience)
Build and maintain AWS-native data pipelines in Python to onboard client datasets, troubleshoot production workflows, and ensure reliable data flow for AI and fintech clients.
Cloud Data Engineer - ETL & Analytics
Designs and builds cloud data pipelines and ETL processes, then delivers Power BI dashboards to support regional analytics at a major bank’s Bogotá tech hub.
Remote Fullstack Ruby/React Engineer - Data Pipelines & AI
Builds and maintains full-stack Ruby on Rails and React applications while managing data pipelines and PostgreSQL troubleshooting, with occasional work on AI-powered document extraction services.
Senior AI Data Engineer — Remote Data Platform Architect
Designs and builds the data platform that feeds Caseware’s AI models, focusing on scalable ingestion, vector search, and multimodal data pipelines.
Intermediate/Senior Data Engineer - OP02112
Build and maintain scalable ELT pipelines, optimize Snowflake data models, and orchestrate workflows in AWS to ensure reliable, high-performance data processing for analytics.
Senior Data Engineer (Data Platform), Brazil
Build and operate a near-real-time data platform using Kafka, Kubernetes, and Snowflake, designing pipelines, governance tools, and CI/CD for ETL/ELT.
Data Engineer (Lead) ID52236
Lead a team building scalable data pipelines and cloud infrastructure using Python, Snowflake, dbt, and Airflow to deliver reliable analytics for enterprise clients.