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The Data Engineer designs and maintains scalable data pipelines and marts within a Databricks Lakehouse on Azure. The role focuses on data quality, governance, and collaboration with analytics teams to deliver reliable data products.
Design and build scalable AWS-based data pipelines and storage systems using Python, PySpark, and AWS services to support automation and cloud migration for Fortune 500 clients.
Builds and maintains scalable Azure-based data pipelines and Databricks workflows to ingest, transform, and deliver reliable data for analytics and reporting across the organization.
Designs and optimizes ETL pipelines, MLOps workflows, and data lakehouse architecture to power analytics and AI/ML systems for an edtech company.
The Data Analyst will join Sber's Neuroscience and Human Behavior Laboratory to conduct behavioral research using big data and machine learning. The role involves analyzing customer behavior, generating hypotheses, and building analytical models using Python, SQL, and LLM technologies to support strategic decision-making.
Lead Python software engineer designing and developing AI-driven test automation solutions, cloud workflows, and modernizing software delivery practices for State Farm’s insurance operations.
Lead the design and hands-on build of RBC’s AWS-based AML data platform using Snowflake, Spark, and dbt, mentoring engineers and owning medallion pipelines, IaC, and security.
Designs and implements scalable data pipelines using Microsoft Fabric to migrate, transform, and curate data for analytics, compliance, and reporting, focusing on ingestion, business rules, and downstream integrations.
Builds and maintains scalable data pipelines, feature stores, and MLOps solutions for RBC’s AI-driven underwriting in retail credit, focusing on cloud (AWS/Azure) and on-prem infrastructure to enable rapid ML model deployment and governance.
Designs and builds Azure-based data pipelines in Databricks and Microsoft Fabric using PySpark and Python, ensuring robust data products.
Build and maintain data pipelines on AWS using PySpark, Python, and SQL to enable analytics and reporting.
Builds and maintains Azure-based data pipelines, ETL/ELT workflows, and data models for analytics, ensuring high-quality data via validation and documentation.
The Data Engineer will work in a forward-deployed model using Palantir Foundry to build end-to-end data workflows, model ontology objects, and develop data transforms. The role requires proficiency in SQL, Python, and Pyspark to integrate systems and maintain data quality.
Migrate a large Azure Data Factory estate to Databricks workflows on AWS, rewriting pipelines as reusable templates and tuning PySpark transformations for production data volumes.
Build and optimize large-scale data pipelines, Spark workflows, and AI-augmented data platforms for Samsara’s IoT-driven operations platform, enabling real-time analytics and automation across industries like transportation and manufacturing.
Build and optimize large-scale Spark/PySpark pipelines and data platforms at Samsara, integrating IoT and enterprise data to power AI-driven analytics and automation for industries like logistics and mobility.
Develops Python-based data pipelines and applications using PySpark and Delta Lake to create scalable data solutions, automating processes for analytics, reporting, and AI applications in a small, impactful team.
Build and maintain core data pipelines in Azure Databricks and Power BI to power NN’s life & pensions analytics and reporting.
Designs and implements a Medallion data architecture in Microsoft Fabric, building Spark-based pipelines to ingest, clean, and transform logistics data for BI-driven decision making.
Designs and builds scalable data pipelines and infrastructure in Microsoft Fabric, focusing on ingestion, transformation, and CI/CD automation for a global media/agency network.
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