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Data Engineer Chile
Design, develop, and maintain data pipelines, ETL/ELT processes, and data warehouses for efficient data storage, processing, and analysis, collaborating with data teams in a dynamic, collaborative environment.
Data Platform Engineer
Designs and maintains real-time data pipelines and a high-performance ClickHouse warehouse to power AI-driven analytics and feature serving for a Web3, AI, and iGaming platform.
Data Engineer
Builds and operates a cloud-based data platform using AWS, GCP, Kafka, Spark, and Kubernetes to run ETL pipelines, machine learning workflows, and production services.
AI Engineer
Build and ship production-grade AI systems (RAG, agents, evals) for a global social-connection platform, using Python, LLM APIs, and AWS in a greenfield role.
Data Engineer BR 10
Designs and maintains scalable data pipelines, ETL/ELT processes, and cloud-based data infrastructure to enable efficient storage, processing, and analysis of large datasets.
Senior ML Platform Engineer
Senior ML Platform Engineer at 42dot builds and maintains large-scale data platforms and ML training systems for autonomous driving, using Python, PyTorch/TensorFlow, and distributed data pipelines.
Analytics Engineer
Build and maintain high-quality data models using dbt and SQL to power analytics and reporting for a fintech platform that funds UK small businesses.
Senior Data Engineer (Snowflake)
Designs and maintains scalable data pipelines and analytical models in Snowflake using Python and SQL, ensuring data quality and reliability for business analytics.
Data Engineer
Designs and builds scalable cloud-based data pipelines and analytics platforms, working with SQL, Python, and cloud data warehouses like Snowflake or BigQuery.
Senior Cloud Data Engineer (Remote)
Senior Data Engineer builds and scales a cloud-native data platform using GCP, BigQuery, Python, and Terraform to process and analyze promotional merchandise marketplace data.
Senior Engineer, Data Engineering
Designs and builds scalable Azure-based data pipelines using PySpark and Spark SQL in Databricks, ensuring reliable data ingestion and transformation for cross-functional teams.
Expert Data Engineer
Designs and builds scalable data platforms and pipelines using GCP tools like BigQuery, Airflow, and Trino, enabling data-driven decisions in hybrid work settings.
Data Engineer
Builds and maintains AI-driven data infrastructure for industrial AI, focusing on scalable data lakes, pipelines, and governance using open-source tools like Apache Iceberg, Airflow, and PostgreSQL.
Data Engineer (GCP | BigQuery | Python)
Designs and maintains data pipelines on Google Cloud Platform, BigQuery, and Python to support e-commerce, analytics, and logistics use cases.
Data Platform Lead (all genders)
Leads the design and scaling of a modern data platform for a B2B e-commerce workflow system, using Snowflake, Kafka, dbt, and AWS to enable AI agents and self-serve analytics.
Data Engineer
Data Engineer builds and maintains large-scale data pipelines for an e-commerce platform using GCP, BigQuery, Airflow, and dbt to power delivery predictions and analytics.
DevOps Engineer
Designs, automates, and maintains cloud infrastructure on Azure and GCP, builds CI/CD pipelines, and ensures secure, scalable deployments for enterprise applications.
Data Platform Lead / Senior Data Engineer
Leads the design, build, and optimization of a next-gen financial data platform handling real-time and batch processing of structured and unstructured market, transaction, and disclosure data using cloud and on-prem systems.