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Staff Data Engineer leading pipeline architecture and scalable data pipelines for real-time and analytical processing in a commodity trading platform.
Senior Staff Data Engineer owning and evolving BILL's core data infrastructure—data lakes, real-time streaming pipelines, batch processing, and serving layers (Starburst, Databricks, Neo4j, OpenSearch)—while driving architectural decisions and mentoring engineers.
Builds and operates real-time telemetry pipelines for energy storage systems, ensuring reliable data for analytics and applications; designs novel data solutions and leads technical documentation.
Reflection, a research lab building open models, seeks a data engineer to power our research, training, and production environments. You will design reliable ingestion and orchestration patterns for batch and streaming…
Lead data engineering and process-mining initiatives for Micron's Front End labor productivity team, using digital footprint tracking, GenAI, low-code automation, and data visualization tools to optimize semiconductor workflows and reduce labor hours globally.
Build frontend dashboards and process-mining tools to analyze labor productivity in semiconductor manufacturing, turning operational data into actionable insights.
Staff Designated Engineer partnering with Databricks Field and Engineering teams to deliver tailored Spark and data platform solutions for large enterprise customers, including triaging complex issues, building POCs, writing playbooks, and training engineers on performance tuning.
Staff Data/Platform Engineer designing and scaling distributed data systems (Kafka, Flink, Spark, Delta Lake) for real-time streaming pipelines, analytics, and AI infrastructure at a conversational AI company. Remote in Brazil.
The Staff Big Data Engineer will lead a data migration project from on-premise systems to AWS, architecting scalable pipelines using Python, Spark, and Airflow. The role involves running Spark jobs on Kubernetes and mentoring senior engineering staff.
The Staff Big Data Engineer will lead complex data migration projects from legacy systems to AWS, designing scalable pipelines using Python, Spark, and Apache Airflow. This role involves technical leadership, mentoring, and implementing modern data architectures using Apache Iceberg and Kubernetes.
Develops and maintains large-scale data infrastructure for Google Ads’ location-based and call ads, leveraging AI to enhance local business data and ad targeting across Search, Display, YouTube, and Maps.
Staff engineer on Google's Enterprise Data Platform team, architecting semantic engines, knowledge graphs, and agentic endpoints that power autonomous AI workflows across the company using large-scale data systems and C++, Java, Python, or Go.
At Octopus Electric Vehicles we’ve built a data platform that provides data services to all areas of our business. Key Responsibilities Own and optimise our platform architecture (improve reliability, scalability,…
👋 About Us sunday is building the fastest, simplest way to pay in restaurants. With a quick scan of a QR code, diners can pay, tip, and leave in about 10 seconds. We believe great products should feel obvious, not…
Design and scale data pipelines for smart home appliances, turning device telemetry into dashboards and diagnostics that drive business decisions and grid-support programs.
Biomedical Data Engineer at IdiPAZ Health Research Institute in Madrid, managing genomic and clinical data (ETL, OMOP/HPO annotation, relational databases) using Python and R in a full-time, permanent research role.
Senior Staff engineer on ServiceNow's Data Access team, building and leading the SQL generation engine and data platform backbone that powers the AI platform, using core Java and relational databases like PostgreSQL, Oracle, MariaDB, and Trino.
The Staff Software Engineer will lead the technical direction for Nubank's global lending platform, designing scalable infrastructure for lending decisions across multiple countries. The role focuses on building robust, event-driven systems using Scala, Clojure, Kafka, and Datomic to support the bank's international expansion.
The Staff Software Engineer will build and maintain the full-stack data platforms used to collect and process human feedback for training Claude. This role involves designing web interfaces for annotators and developing the backend pipelines that deliver high-quality data to RL researchers.
This role involves building and maintaining the full-stack data platforms and interfaces used to collect human feedback for training Claude. You will work closely with RL researchers to design reliable pipelines and tools that turn human feedback into high-quality training signals.
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