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Publicis Sapient seeks a Senior Data Engineer to maintain and operate critical AWS data platforms in a production support role: troubleshooting incidents, optimizing complex SQL queries, and building Python automation to keep releases smooth and improve data quality for global teams.
Mid-level Data Engineer in Medellín, Colombia building scalable data solutions: developing reliable ETL pipelines and complex transformations on a modern data platform. Core stack is Databricks, Python, SQL, and Spark, with Snowflake or cloud services as a plus.
Senior L2/L3 production support data engineer at Publicis Sapient: monitors, troubleshoots, and resolves critical data-platform incidents on AWS, tunes SQL and Amazon Aurora performance, performs root cause analysis, and builds Python automation scripts to keep production data systems reliable.
Hands-on principal data engineer leading the technical architecture of Vuori's Omni Analytics pod and Customer Data Platform — identity resolution, customer 360, event pipelines, and audience activation across ecommerce, retail, and marketing data. Core stack: Snowflake, dbt/SQLMesh, Airflow/Dagster, Hightouch, Shopify. Fully remote from Colombia.
Data Engineer designing, building, and maintaining scalable data pipelines in a Microsoft Fabric/Azure ecosystem for a furniture and home furnishings retailer, partnering with AI/ML, BI, and business stakeholders to modernize the data platform and support analytics and ML initiatives.
Data Engineer at Bia Energy in Bogotá: designs, builds, and maintains scalable, secure data infrastructure — pipelines, datalake, and data quality — turning large data volumes into insights for data-driven decisions. Core stack: Python/Java/Scala, Spark, Kafka, AWS/Azure/GCP, Airflow, Docker, Kubernetes.
Bia Energy SAS is hiring a data engineer in Bogotá to design and maintain scalable cloud data infrastructure, building data pipelines and a data lake that enable analysis and data-driven decisions. Core stack includes Spark, Hadoop, Kafka and cloud platforms, with emphasis on data quality, governance, reliability and security.
Principal Data Engineer owning Vuori's Omni Analytics pod and Customer Data Platform: leading architecture across ecommerce, retail, marketing data, and identity resolution, tackling large-scale event processing and platform buildouts while mentoring engineers on a fully remote international team (hired via TurnKey Labs, based in Colombia).
Data Engineer at Bia Energy in Cesar, Colombia, who designs, builds, and maintains scalable data pipelines, ETL/ELT processes, and the company datalake, ensuring data quality, security, and performance. Core stack: Python/Java/Scala, Spark, Hadoop, Kafka, SQL/NoSQL databases, AWS/Azure/GCP, Airflow, Docker, Kubernetes.
Senior technical leadership role at iQor: sets enterprise architecture and technology strategy across engineering teams, defines engineering standards, mentors senior engineers, and leads cloud/deployment initiatives on AWS and Azure DevOps. Core stack includes React.js, .NET/C#, SQL Server/PostgreSQL, and microservices/event-driven architecture.
Senior backend engineer (fully remote, based in Colombia) who owns microservices, data pipelines, and the AI agents stack — turning raw data into structured records and search indices powering the platform. Works in a small team, driving architecture decisions and shipping across AWS, Elasticsearch/OpenSearch, and GraphQL.
Senior Java backend engineer at GFT Technologies LATAM (Colombia) who designs and builds scalable, secure, high-performance cloud applications using Java, Spring Boot, REST APIs and microservices on AWS with a Data Lake focus, working in agile teams with automated testing and continuous delivery.
Senior AI Engineer at Lean Tech (Lean Solutions Group) in Medellín builds a natural-language interface over a data warehouse, grounding LLM answers in real warehouse data to avoid hallucinations. Day to day: hands-on LLM engineering, retrieval, evaluation, and integration with Azure OpenAI and data services, supporting appraisal-related queries.
Senior Data Engineer (Earnix-focused) for Coforge: designs and optimizes enterprise data pipelines on Azure Databricks and Delta Lake, collaborating with pricing, actuarial, underwriting, data science, BI, and QA teams. Needs 7+ years in data engineering with Python/PySpark, SQL, dbt, CI/CD, and Unity Catalog; remote LATAM role (Colombia).
Builds a data governance platform and master data hub on Microsoft Fabric for MAS Global's client, handling data ingestion, medallion architecture, a PySpark-based matching engine, and back-synchronization to source systems (Workday, payroll, ERP, security).
Senior Data & AI Engineer at IT services firm Coforge: builds AI/LLM-powered applications and backend services with Python, TypeScript, and AWS, plus end-to-end data pipelines and scalable data architecture using Databricks, Apache Spark, and DBT. Remote, open to candidates in Colombia, Costa Rica, Peru, and Bolivia.
Senior Data & AI Engineer designing, building, and deploying AI-powered apps and backend services with Python, TypeScript, and AWS. Day to day involves creating scalable data pipelines using Databricks, DBT, and Spark and defining data architecture and governance, working remote across Latin America.
Senior Data Engineer at Coforge building production-grade data pipelines and governed insurance-pricing data products (quotes, premiums, rating factors) on Azure Databricks, dbt, Python/PySpark, SQL, and Delta Lake, with governance via Unity Catalog. Requires 7+ years of data engineering experience; remote role open to candidates in Costa Rica, Peru, Colombia, or Bolivia.
Bia Energy is hiring a Data Engineer in Bogotá to design, build, and maintain scalable and secure data infrastructure, leading ETL/ELT pipelines and data lake architecture for large-scale, data-driven decision making. The core stack includes Spark, Hadoop, SQL/NoSQL databases, and cloud platforms.
Hands-on data engineer at MAS Global Consulting building an end-to-end governed data platform on Microsoft Fabric for a US industrial manufacturer: metadata-driven ingestion, a medallion lakehouse, and a master data hub with a PySpark entity-matching engine that syncs golden employee records back to Workday, payroll, Epicor and security systems.
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