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Lead Data Engineer ID71008
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML,…
Staff Software Engineer, Infrastructure Engineering
Designs and maintains Go-based distributed systems that automate and monitor large-scale GPU data centers, ensuring reliability and scalability of AI infrastructure.
Senior Software Developer
Noibu is the leading ecommerce analytics & monitoring platform, purpose-built to help retailers protect and grow online revenue. By unifying site monitoring, experience analytics, and conversion growth…
Senior Software Engineer - IoT
About Voltus Voltus is a leading company for Distributed Energy Resources (DERs). Our mission is to be the platform that fulfills the promise of the energy transition. The Voltus platform connects any DER to any energy…
Senior Data Infrastructure Engineer - Kafka, ClickHouse, Cloud
Design and operate large-scale data processing systems using Kafka, Spark, ClickHouse, and Dagster, optimizing performance and costs while collaborating with data, ML, and product teams.
Senior Software Engineer - Data Infrastructure
Design and operate data infrastructure including Kafka pipelines, ClickHouse databases, and batch jobs with Dagster using Python or Rust.
Data Engineer, Data Core
Data Engineer building and maintaining petabyte-scale data storage and compute infrastructure (Spark, DuckDB, Trino, ClickHouse), orchestrating batch and real-time jobs, optimizing performance and cost, and handling on-call incident response for Vibe.co's Data Platform team.
Senior Data Engineer
Senior Data Engineer at WalletConnect building and scaling data pipelines for payments infrastructure and ecosystem analytics using Python, SQL, ClickHouse, Airflow, and dbt in an event-driven architecture.
Software Engineer, Data Platform (All Teams)
Builds and maintains DoorDash’s scalable data platform (Spark, Flink, Kafka, Airflow) to enable real-time analytics, data governance, and business insights for logistics/delivery operations.
Senior Software Engineer, Backend
Build and maintain DoorDash’s global logistics and data platform, focusing on reliability, observability, and AI-powered tooling for internal data users.
Software Engineer, Backend
Build and maintain DoorDash’s global logistics data platform, focusing on reliability, cost-efficiency, and AI-powered tooling for thousands of internal users.
Engineering Manager
We're a 20-person team building a browser-native scientific data platform used by Novartis, J&J, Daiichi-Sankyo, and other top pharma and biotech companies. Our platform was already 10x faster than the…
Product Marketing Engineer
About Langfuse Open Source LLM Engineering Platform that helps teams build useful AI applications via tracing, evaluation, and prompt management ( mission , product ). We are now part of ClickHouse. We're building…
Middle DWH-аналитик (миграция)
Middle DWH analyst on an outstaff bank migration project, migrating financial reporting to a new GreenPlum data warehouse — building data marts, optimizing SQL, and creating dashboards with Fine BI/Power BI/Tableau.
Product Analyst
Senior product analyst building seller-facing app metrics, dashboards, and A/B tests using SQL, Python, and big-data tools like ClickHouse and Kafka.
Senior Full-Stack Software Engineer
Build a conversational analytics platform for education, leading full-stack architecture, data pipelines, and AI integrations using Python, TypeScript, and SQL.
DevOps инженер (Big Data)
Что нужно делать: Поддерживать и развивать внутренние платформы больших данных. Участвовать в проекте по миграции на новую архитектуру. Осуществлять развертывание, конфигурацию и поддержку серверов, виртуальных машин,…
Senior Software Engineer, Data Systems
Designs and maintains a cloud-native data/ML platform for Hive’s event-marketing SaaS, building pipelines, feature stores, and observability for real-time audience data (millions of attendees, billions of interactions) to power personalized campaigns and model-driven recommendations.