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#EG AI Product Engineer
Design and build AI systems that turn buildings into intelligent environments for robots and people, using perception, planning, and robotics stacks like ROS/ROS2.
Member of Technical Staff — ML Infra (Data)
Build and optimize large-scale data pipelines for multimodal AI training data (video, audio, text) to power real-time, emotionally intelligent avatars.
Staff Data Engineer
Lead the design and scaling of a security data platform that consolidates risk findings, ownership graphs, and posture metrics for Apple’s cloud services and infrastructure.
Machine Learning Specialist
Own the full AI lifecycle: research and fine-tune models, build production pipelines, and deploy scalable APIs that power credit scoring, fraud detection, and personalization.
Senior Data Engineer - Data Platform
Senior Data Engineer builds scalable batch and real-time data pipelines on a Lakehouse platform using Snowflake, Databricks, AWS, Kafka and Flink to power analytics and AI across a property-tech marketplace.
Lead Infrastructure and Cloud Architect
Lead the design and optimization of Worley’s global hybrid and multi-cloud infrastructure (Azure, AWS, OCI) to support AI workloads, ensuring scalability, security, and compliance.
Data Engineer Co‑Op: Build pipelines & drive insights
A co-op Data Engineer builds and maintains data pipelines to extract, transform, and load data, working with SQL and ETL tools like Azure Data Factory and Databricks to support analytics and business requirements.
Data Engineer: ETL/ELT Pipelines & Data Quality Automation
Build and optimize ETL/ELT pipelines in Snowflake, DBT, FiveTran, and Boomi to integrate enterprise data and ensure reliability and quality for analytics.
Data Engineer Co-Op
Build and maintain data pipelines for ETL processes, collaborating with senior engineers to integrate data from multiple sources and optimize performance.
Senior Big Data Engineer & Platform Specialist
Designs and builds large-scale data pipelines and platforms using Kafka, Spark, Scala, Hadoop, and Cloudera to process and analyze high-volume datasets.
Associate Data Engineer: Build Pipelines & Learn
Build and maintain basic data pipelines, ensuring accurate data extraction, transformation, and loading between systems while learning enterprise data standards.
Data Engineer II
Build and maintain ETL/ELT pipelines, data warehouses, and AI-ready data flows for Mastercard’s payment and analytics platforms using Snowflake, SAP HANA, and cloud-native tools.
Junior Data Engineer
Builds and maintains cloud-based ETL pipelines that process environmental datasets (energy, emissions, resources) using Python, PySpark, and AWS to power sustainability analytics.
Real-Time Snowflake Data Engineer for Scalable Pipelines
Design and optimize Snowflake-based data pipelines using Snowpipe and Azure Data Factory to enable real-time and batch analytics workflows.
Big Data Engineer
Designs and maintains large-scale data pipelines and platforms using Kafka, Spark, Scala, and Hadoop to process high-volume datasets for enterprise clients.
Senior Data Engineer: Build Scalable Data Pipelines
Senior Data Engineer builds and maintains scalable data pipelines to power analytics and decision-making using modern tools and clean code.
Snowflake Data Engineer
Designs and maintains Snowflake-based data pipelines using Azure Data Factory, implementing Snowpipe and CDC for real-time analytics and reporting.
Data Engineer II: AI-Ready Data Pipelines & Analytics
Builds and maintains ETL/ELT pipelines and data warehouses for analytics, integrating enterprise systems like SAP HANA and Snowflake to support AI-ready data workflows.
Data Engineer
Build and optimize data pipelines, warehouses, and ETL/ELT processes using Python, SQL, and cloud platforms like GCP or Azure to support analytics and modeling teams.
Data Engineer
About DataCraft DataCraft Analytics is a data-driven services company providing expert professional services and tools in data science and data analysis. We deliver our own services and build our own products. A large…