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Lead a team of ~10 data platform engineers to build scalable data infrastructure for AI research and production, using Spark, Flink, Airflow, Kafka, and lakehouse formats like Iceberg.
Leads a team to build and maintain a global, multi-asset data platform for a quantitative investment firm, supporting research, backtesting, and live trading workflows with robust data pipelines and governance.
Senior Data Engineer building and optimizing data products and ETL pipelines on AWS and Snowflake to fuel analytical models for Sun Life's Client Experience Office in Toronto.
GetTransfer ищет опытного Data Engineer для работы над долгосрочными технологическими проектами в Ташкенте. В периметре компании — широкий спектр проектов: от RightTech и mobility до fintech и других технологических…
Senior Data Engineer at Planet builds and maintains large-scale cloud data pipelines and architectures to power satellite-imaging products for defense and intelligence customers using Python, SQL, GCP, and Kubernetes.
Build and deploy ML systems that reconstruct 3D lane lines and maps from noisy sensor data (cameras, LiDAR, radar, GPS/IMU) to power autonomous truck perception and HD mapping.
Build and deploy ML models for 3D scene reconstruction, lane detection, and HD map creation using LiDAR/camera data to auto-generate high-quality annotations for autonomous trucks.
Build and scale Torc Sim, a simulation platform that replays and evaluates autonomy models against real and synthetic driving data, enabling teams to debug and improve ML models for self-driving trucks.
The Machine Learning Engineer will provide MLOps support for autonomous trucking model development, including debugging pipelines, maintaining infrastructure, and collaborating with engineering teams. The role focuses on ensuring reliable model deployment using Python, PyTorch, and various MLOps orchestration tools.
Build and scale data pipelines that tag petabytes of autonomous-truck logs, turning raw sensor data into curated driving scenarios for ML and simulation teams using Python, Databricks, AWS, and CI/CD.
Build and optimize distributed deep learning pipelines for large-scale genomic data in a cloud environment, collaborating with ML scientists and software engineers to accelerate cancer early-detection models.
The Senior Data Engineer will manage and optimize database systems including MS SQL Server and PostgreSQL, while leading the migration of legacy SSIS pipelines to a modern data lakehouse environment. The role involves designing scalable data solutions, ensuring data governance, and collaborating with business stakeholders to translate requirements into technical data architectures.
Data Engineer designing and maintaining scalable ETL/ELT pipelines and enterprise data architectures on Microsoft Fabric, partnering with Data Science, ML, and BI teams to deliver reliable data infrastructure.
Part-time online instructor for a 5-week 'Relational Databases for Data Scientist' course in a Master's CS (AI/ML) program, teaching PostgreSQL, SQL, Python data tools, and data preparation for DS/ML.
Senior Data Engineer designing and operating large-scale data platforms and backend systems using data lake formats (Parquet, Iceberg), distributed query engines (Trino, Spark, ClickHouse), JVM/Kotlin APIs, Redis, and Kafka in containerized/Kubernetes environments.
Senior Data Engineer at Rumble designing, building, and operating large-scale data platforms and backend services using data lake formats (Parquet, Iceberg), distributed query systems (Trino, ClickHouse), Kotlin/JVM APIs, Redis, Kafka, and Kubernetes.
The Senior Data Engineer will design and optimize scalable data platforms and pipelines using Microsoft Fabric, implementing Medallion architecture and building reliable data assets. The role requires expertise in SQL, Python/PySpark, and cloud data modeling to support analytics and business intelligence.
CSpring is seeking a Senior Azure Data Engineer to design and build scalable data pipelines and enterprise data platforms using Azure technologies like Databricks, Synapse, and Microsoft Fabric. The role involves developing ELT workflows, implementing medallion architectures, and leading cloud migration initiatives.
Build and maintain low-latency Java systems for real-time trading and data processing, using Kafka, Avro, and Parquet to handle petabyte-scale data pipelines.
Build high-performance trading systems and analytical tools in Python for internal use, collaborating closely with traders and researchers to develop scalable applications and data-driven solutions.
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