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Data Engineer
Builds and maintains scalable data pipelines for casino systems, transforming raw transactional data into optimized datasets for analytics and downstream applications using Python, Node.js, SQL, and ETL tools.
Senior Data Engineer (CAN)
Senior Data Engineer building greenfield ML data infrastructure—lakehouse architecture, training pipelines, feature stores, and pipeline observability—on GCP using Python, Spark, Kafka, and Airflow for a healthtech SaaS platform.
Data Engineer
Develop and maintain data and BI solutions, including ETL pipelines, data models, and reporting outputs using SQL Server, SSIS, and Tableau. Translate business requirements into technical solutions.
Senior Research Data Engineer
Build and maintain data pipelines and tooling that fuel Canva’s multimodal AI agent research, from collection and curation to scalable training and evaluation loops.
Data & AI/ML Engineering
Design and maintain scalable data pipelines, ML model-serving infrastructure, and AI-enabling data systems (feature stores, vector DBs) for a healthcare-focused Public Benefit Corporation using Python, SQL, and cloud platforms.
Senior Software Engineer, Government Programs
Lead the design and operation of secure data pipelines that process infrared satellite imagery and deliver mission-critical analytics to U.S. defense and intelligence agencies, including NRO systems.
Senior Data Engineer - Healthcare Data & Audience Applications
Build and maintain healthcare-focused data pipelines and models in Snowflake and AWS, turning provider, claims, and audience data into trusted marketing insights using Python, Airflow, and EMR.
Senior AI/ML Engineer
Senior AI/ML Engineer designing, building, and deploying production ML and LLM systems (RAG, fine-tuning, evaluation) using Python, PyTorch, HuggingFace, and AWS/Azure for a digital agency's enterprise and non-profit clients.
Data Engineer | AWS Spark & Airflow | Madrid, 12mo Contract
Designs and maintains scalable data pipelines using PySpark, Spark, and AWS services to ingest, transform, and load data for analytics and reporting.
Data Engineer — AWS, DBT & Snowflake for Global Pharma
A Software Engineer with data engineering experience builds scalable data pipelines using AWS, DBT, Snowflake, and SnapLogic to power analytics and reporting, collaborating with cross-functional teams on an international data platform project.
Data Engineer: AWS, DBT & Snowflake for Analytics
Build and maintain scalable data pipelines, transform data for analytics, and support modern reporting using AWS, DBT, Snowflake, and Power BI on an international data platform.
Data Engineer (German) - Hybrid & Impact
Designs and builds scalable data pipelines and platforms using PySpark and distributed technologies in a hybrid setup.
Data Engineer: Cloud Analytics & Big Data
Build and maintain data pipelines and scalable architectures using Python, Databricks, Snowflake, and Spark for analytics projects.
Senior Data Engineer
Designs and builds scalable data pipelines and warehouses for a large US retail eCommerce platform, focusing on Azure Synapse, Data Factory, and Databricks to support millions of omnichannel customers.
Data Engineer
Designs and builds scalable data pipelines and analytics solutions on AWS using Python, PySpark, and modern orchestration tools.
Data Engineer
Builds and maintains data pipelines on AWS using PySpark, Python, and Airflow to enable analytics and reporting.
Remote Data Engineer - AI-Powered Data Pipelines
Build and maintain AI-powered data pipelines and analytics-ready models using Snowflake, dbt, Airflow, and AWS in a remote-friendly environment.
Senior Data Engineer: Azure Data Pipelines, Remote
Designs and maintains scalable Azure data pipelines using Spark/PySpark, Python, and SQL to support ETL/ELT processes for Data Science and Analytics teams.