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Staff Backend Engineer on Haus's Data Platform team, combining distributed backend systems engineering with data engineering to build high-throughput ingestion services and BigQuery/dbt warehouse models that power the company's causal marketing measurement platform.
Staff Engineer on Vanta's data platform team leading a MongoDB-to-Postgres migration and building high-throughput Kafka/S3 data pipelines with TypeScript/Node for a compliance trust-management product.
Lead the migration of Vanta’s data layer from MongoDB to Postgres while running both in parallel, ensuring zero customer impact and audit-proof evidence. Design high-throughput Kafka pipelines and scalable query APIs for terabyte-scale security data.
Staff Data Engineer translating high-level designs into delivery-ready low-level designs for Azure/Databricks data platforms, providing design assurance and technical leadership within a 14-person data engineering team at a UK water utility.
Staff Data Engineer leading Azure & Databricks platform design, coaching engineers on ingestion/transformation/storage patterns, and governing delivery designs across data streams at a UK water utility.
The Staff Data Engineer (Accounting) at GoFundMe builds scalable data infrastructure, automation, and compliance-ready platform capabilities that support Accounting and Finance, working with Snowflake, dbt, and Python to create financial data systems.
Staff Data Engineer leading the architecture and development of Blackpoint Cyber's enterprise data platform, working with AWS, Spark, Kafka, Python, and Kubernetes to support cybersecurity threat detection and response.
Senior Staff Software Engineer leading data engineering at Capital One Canada—designing scalable data platforms, distributed processing systems, and data governance standards atop public cloud infrastructure.
Build and scale Instacart’s open lakehouse foundation, governance, and multi-engine compute platform using Apache Iceberg, Spark, Kafka, and Trino to power real-time analytics and AI-driven data workflows.
Talent-R is seeking a Staff Data Engineer to lead the architecture and reliability of their commodity trading data platform. The role involves designing scalable data infrastructure for both real-time and analytical workloads while collaborating with AI and enterprise teams.
The Staff Spark & Data Platform Engineer provides high-touch technical support to strategic customers by triaging and resolving critical issues within Spark and data-driven environments. The role requires extensive experience in distributed computing and production-level Spark, ML, and AI implementations.
Build and maintain AI-powered data pipelines for healthcare AI systems, ensuring data quality, privacy, and scalability using Python, Dagster, BigQuery, and GCP.
About the Company Our client is a leading Canadian energy organization with a strong presence across Ontario. They operate critical infrastructure that supports millions of customers and drives economic growth. Why…
Staff Data Engineer building scalable data platforms and pipelines on AWS (Glue, Redshift, Athena, EMR) using Python, PySpark, and Scala for CommBank's Business Banking Technology team.
The Staff Data Engineer will design and manage enterprise data architecture, focusing on Azure Databricks infrastructure and Power BI optimization to enable scalable self-service analytics. The role involves building real-time data pipelines, managing workspace governance, and collaborating with cross-functional teams to support advanced analytics.
Staff Engineer building and scaling the data infrastructure for Unity's Ads business and internal Unity Commons platform, working across large-scale distributed systems, data pipelines, and cloud infrastructure.
Staff Data Engineer leading a team building scalable data pipelines and data warehouses, collaborating with product and risk teams to enable analytics and ML capabilities using distributed data tools.
About the company We're hiring for the go-to platform in commodity trading, the tool trading desks rely on to make pre-trade calls. Closed a $42M Series B in February 2025 and scaling fast Around 130 people across…
Leads the technical direction of Ripple’s centralized data lakehouse platform (Caspian), designing ingestion, transformation, governance, and data quality systems while setting engineering standards and mentoring senior engineers. Core focus: Databricks, AWS, and AI-driven data workflows.
Staff Data Engineer at Commonwealth Bank building state-of-the-art data solutions using AWS Cloud, Gen AI, Data Lake, and Data Mesh technologies to power experiences for millions of customers.
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