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Senior Cloud Data Engineer (Snowflake, Airflow, Azure)
Designs, builds, and maintains scalable data pipelines on Snowflake and Azure using dbt, Airflow, Python, Docker, and Kubernetes to ensure robust data solutions and collaboration with stakeholders.
Senior / Staff data Engineer (Agentic AI)
Designs and optimizes scalable data pipelines (ETL/ELT) for structured/unstructured data (sensor/image) to support AI/advanced analytics, collaborating with data scientists and engineering teams. Focuses on agentic AI orchestration and digitalization initiatives.
Senior Data Engineer, Healthcare Tech (Remote/Hybrid)
Designs, deploys, and maintains scalable data pipelines for a healthcare tech product using Python, SQL, Airflow, and AWS.
Data Engineer: Cloud Analytics & Big Data
The Data Engineer will build and maintain scalable data pipelines and architectures using Python, Databricks, Snowflake, SQL, Spark, and Hadoop. This role involves collaborating with global teams on high-impact data and analytics projects.
Data Engineer - Multinational Company
The Data Engineer will build and manage data pipelines using Python, SQL, PySpark, and Apache Airflow within an AWS environment. The role requires professional fluency in both Spanish and English.
Data Engineer (GCP)
Manning Global is seeking a Data Engineer to build scalable web applications and manage data pipelines using Java, Spring Boot, Vue.js, and GCP-based technologies. The role involves designing data architectures, writing processing logic in Scala, and automating workflows with Talend.
Data Engineer
The Data Engineer will build and maintain data pipelines using Python, PySpark, and AWS services in an Agile environment. The role requires proficiency in both Spanish and English.
Senior Data Engineer: Data Products & AI Pipelines
Builds and maintains scalable data pipelines and AI-enabled features using Python, Databricks/Spark, and Azure to power business software.
Data Engineer - dbt & Snowflake Pipelines
Designs, builds, and optimizes dbt and Snowflake data pipelines to migrate Oracle systems and support customer analytics.
Data Engineer (GCP) — Cloud Pipelines & Web Data
Builds scalable GCP data pipelines and collaborates on web apps to deliver reliable data solutions for clients.
Data Engineer: Big Data Pipelines (Spark/Scala) Hybrid
Designs and maintains Spark/Scala-based data pipelines and platforms, migrating Hadoop workloads to cloud while ensuring data quality and performance for BNP Paribas Personal Finance’s global data products.
Senior Data Engineer — AI Data Pipelines & Systems
Designs, builds, and scales AI data pipelines and systems for information verification, owning end-to-end data workflows across backend and infrastructure layers in a fast-growing AI startup.
AI Engineer
Build and deploy LLM-powered apps, RAG pipelines, and multi-agent systems on AWS using Python, LangChain/LangGraph, and FastAPI.
Senior Backend Spark Developer (Remote from Spain)
Build and optimize large-scale Big Data pipelines using Apache Spark (Scala/Python), Azure Databricks, and SQL to process and model data for enterprise clients.
Data Engineering Intern
Build and maintain simple data pipelines, validate data quality, and create basic reports using SQL, Python, Azure Data Lake, and Databricks for a fintech platform.
AI Automation Engineer
Designs and builds AI-powered workflow automations to streamline restaurant team management for 7shifts’ scheduling/payroll platform, collaborating with cross-functional teams to identify inefficiencies and ship scalable solutions.
Entry Level Data Engineer
Build and maintain data pipelines and infrastructure alongside senior engineers using SQL and Python.
Associate Data Engineer: Build Scalable Analytics
The Associate Data Engineer will design and build scalable data infrastructure, develop pipelines, and perform data integration and transformation using cloud services to support analytics.
Senior Data Engineer Python/GCP (x/f/m)
Build and optimize data infrastructure on GCP to power AI models (LLMs, VLMs, RAG) for an AI-powered medical companion, ensuring high-quality, compliant data pipelines for healthcare professionals and patients.
Staff AI Data Engineer (x/f/m)
Build and maintain AI-powered data pipelines for healthcare AI systems, ensuring data quality, privacy, and scalability using Python, Dagster, BigQuery, and GCP.