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Build and scale Torc Sim, a simulation platform for autonomous trucking models, enabling replay, evaluation, and visualization of perception and behavior ML systems at scale.
Build and maintain Microsoft Fabric lakehouses, Azure Data Factory pipelines, and SQL-based data warehouses to ingest, transform, and secure enterprise data for reporting and integrations.
Build and maintain cloud data pipelines, warehouses, and lakes using AWS and Snowflake to process and analyze financial data, collaborating with data scientists to deploy ML models.
FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who possesses a strong…
Build and scale distributed Scala/Spark pipelines on Databricks that compute audience membership for FOX’s ad platform, integrating with ad servers and optimizing performance at ad-tech scale.
Build and optimize data pipelines and cloud infrastructure for automotive content platforms using Python, AWS, Databricks, and Kubernetes.
Guild Mortgage Company , closing loans and opening doors since 1960. As a mortgage banking firm, we are dedicated to serving the homeowner/buyer. Our goal is to provide affordable home financing for our customers,…
Build and maintain scalable data pipelines and curated datasets for a modern Lakehouse and AI platform, using Python, SQL, Spark, and Snowflake to support analytics and AI use cases at a global investment bank.
Build and maintain large-scale data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Kafka to support analytics and AI use cases at a global investment bank.
Senior software engineer building scalable data pipelines and distributed analytics using Python, Apache Airflow, Spark, and SQL to process large datasets for government analytics workloads.
Builds and maintains ML data pipelines for autonomous truck perception models, curating high-quality sensor annotations and delivering data for on-demand model training.
Build and maintain scalable data pipelines for real-time pricing systems using AWS, Spark, and Airflow, enabling data-driven decisions for a mobility platform.
Build and maintain scalable data pipelines on Databricks and Azure to ingest POS, transactional, and operational data, enabling reliable reporting and analytics for a large Canadian restaurant group.
Build and maintain PineStone’s data pipelines and warehouse in Snowflake using dbt and Matillion to feed investment analytics, reporting, and AI-driven workflows.
Senior Data Engineer builds and maintains data pipelines and models in AWS/Snowflake to power analytics and AI use cases for a large Canadian insurer.
Build and own a modern Data Lakehouse (Delta Lake) for smart metering and IoT telemetry, migrating legacy systems and ensuring data quality across high-volume energy and building automation workloads.
Build and maintain scalable data pipelines using Snowflake, Prefect, and Python to support AI-driven investment strategies for institutional clients.
Build and maintain IBM’s Quantum Software data lake, designing scalable pipelines and orchestration workflows to power analytics and insights for quantum computing.
Builds and optimizes data pipelines using Python, Apache Spark, and Azure tools to process and transform large datasets efficiently.
Builds and optimizes data pipelines using Apache Spark (Databricks/Azure Synapse), Python, Pandas/Polars, and Parquet/Delta Tables for reliable analytics workloads.
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