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AI-Augmented Data Engineer
Build AI-assisted data pipelines for a retail ecommerce team using Snowflake, dbt Cloud, and Fivetran, automating ingestion, modeling, testing, and deployment with tools like Claude Code.
Data Engineer. Sector Defensa
Build and maintain robust data pipelines for a cyber-defense project, ensuring high-quality data ingestion, transformation, and delivery using ETL/ELT tools and big-data tech.
Senior Data Engineer
Build and maintain AWS-based data pipelines and ETL/ELT workflows using Python, Spark, and Databricks to feed analytics and ML models.
Senior Data Engineer
Build and operate scalable data pipelines connecting industrial plants to Azure and Databricks, enabling ML models and analytics for production, energy, and logistics use cases.
Senior Data Engineer
Build and maintain scalable data pipelines and a self-service data platform using Snowflake, Airflow, and AWS, enabling teams to produce and consume trusted data products.
Senior Data Engineer
Build and maintain scalable data pipelines and AI features for a hotel-tech platform, using Python, GCP, BigQuery, and Kafka.
Senior Data Engineer
Build and maintain data pipelines and ETL workflows in Python, orchestrating data ingestion from multiple sources for AI-driven fintech analytics and RAG systems.
Data Engineer Senior
Senior Data Engineer builds and maintains scalable data pipelines, cloud infrastructure, and ML models on Google Cloud using Python, SQL, dbt, and Databricks.
Senior Data Engineer
Lead Data Engineer designs and builds scalable data platforms for clients using Microsoft Fabric, Spark, and cloud infrastructure to enable AI-native solutions.
Senior Data Engineer
Build and maintain scalable data pipelines and infrastructure using Databricks, Spark, ClickHouse, and Kafka to power real-time analytics and ML for mobile app monetization.
Senior Data Engineer
Build and own the data platform that powers AI model compression and quantum-inspired optimization products, designing ETL pipelines, lakehouse architectures, and governance workflows in Python/SQL on cloud platforms.
Senior Data Engineer
Design and build scalable data platforms and ETL pipelines using Python, SQL, Spark, and cloud tools (AWS/Azure/GCP) to enable clean, governed data for analytics and AI.
AWS Data Engineer
Build and maintain AWS-based data pipelines, ETL/ELT processes, and Redshift models to transform raw data into business insights using Python, PySpark, SQL, and related tools.
Senior Data Engineer
Design and maintain scalable cloud-based data pipelines on Databricks/Azure to ingest airport and airline data, enabling ML models that improve air transport operations.
Senior Data Engineer
Design, build, and maintain scalable data pipelines and architectures using Python, SQL, Spark, and cloud platforms to enable analytics and data-driven decisions.
Junior Data Engineer
Build and maintain ETL pipelines in Python/SQL to move and transform data for analytics and dashboards, ensuring quality and freshness.
Cloud Data Engineer: AWS & Snowflake Pipelines
Designs and maintains AWS-based ETL/ELT pipelines, optimizes Snowflake data models, and builds Airflow workflows to deliver trusted datasets for analytics and BI.
Data Engineer - Data Platforms & Architecture
Design and build scalable data pipelines and modern data architectures (Snowflake, BigQuery, Redshift) using ETL/ELT tools (dbt, Talend, Informatica) and modeling approaches (Kimball, Data Vault, Lakehouse).
Senior Data Engineer
Build and own scalable data platforms and ETL pipelines for AI/ML and quantum-inspired optimization products, ensuring clean, versioned, and accessible datasets for analytics and AI workflows.
Remote Data Engineer — ETL & API Pipeline Architect
Design and maintain ETL/ELT pipelines and API integrations to unify data from multiple sources into a reliable foundation for analytics and business teams.