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Full Stack Software Engineer (React + Node.js)
Builds and maintains React-based frontend and Node.js backend features for a brand-performance analytics platform, integrating AI-driven insights and modern cloud tech.
Databricks Expert - Data Engineer/Data Architect
Design and implement cloud-native data pipelines on Databricks and Azure, integrating big-data tools to feed analytics and ML models for enterprise clients.
Senior Azure Data Engineer
Designs and builds cloud-native data pipelines on Azure, integrating Big Data tools like Spark and Databricks to feed analytics and ML models for enterprise clients.
Azure Data Engineer
Designs and builds cloud-native data pipelines on Azure, integrating big data tools like Spark and Databricks to feed analytics and ML models for enterprise clients.
Cloud Data Engineer - Databricks & AWS Ops
Oversee production data pipelines in Databricks and AWS, ensuring high availability and cost efficiency while managing logging, monitoring, and incident response.
Data Engineer: Scalable Pipelines on Snowflake/Databricks
Design, build, and optimize scalable data pipelines and models on Snowflake and Databricks to feed analytics and reporting.
Associate Data Engineer
Build and maintain cloud-based data pipelines on AWS and Databricks, ensuring high uptime and performance while optimizing costs and security.
Data Engineer
Designs and builds scalable ETL pipelines in Snowflake/Databricks to integrate and transform financial data for analytics and reporting.
Senior Data Engineer (Azure, Databricks & MLOps)
Senior Data Engineer builds and optimizes scalable Azure-based data and ML pipelines using Databricks, PySpark, and MLOps tools to support analytics and AI deployments for fintech and public-sector clients.
Remote Backend Engineer - Python, Data-Driven Experiments
Build Python services and data pipelines for A/B testing and experiment analytics, integrating with Spark/Databricks and collaborating with search and ML teams.
Junior Big Data & AI Engineer - Remote & Cloud
Build and maintain cloud-based data pipelines and ML models using PySpark, Databricks, Scala, and Python to power AI and generative AI solutions.
Senior Data Platform Engineer (Databricks)
Architect and build cloud-agnostic data platforms using Databricks, designing scalable pipelines and optimizing performance across AWS, Azure, and GCP for enterprise clients.
Senior Data Engineer: PySpark/Python for Scalable Data
Designs and optimizes scalable data pipelines using PySpark and Python, ensuring data quality and traceability for a data-driven product team.
Data Engineer | Snowflake + dbt | Remote Impact Architect
Design and lead modern data architectures for enterprise clients using Snowflake, dbt, and Databricks, while collaborating with teams to deliver scalable solutions.
Data Engineer: ETL/ELT Pipelines en la Nube
Build and maintain cloud-based ETL/ELT data pipelines using Python, SQL, Airflow, Snowflake, and Databricks for a climate-tech company.
Databricks Principal Data Engineer (Contract) - Remote
Designs and leads scalable data platforms on Databricks for enterprise clients, advising senior stakeholders and guiding engineering teams through AI and data transformations.
Principal Cloud Data Engineer – Hybrid/Remote Lead
Leads cloud data architecture and pipelines for an enterprise platform, collaborating with architects and engineers using Azure/AWS/GCP, Databricks, and Snowflake.
AI LLM Engineer - Autonomous Network
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, vector/graph databases, and Kubernetes.