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About the Role Forward is scaling fast, and we need senior engineers who can grow with the platform — not just build features, but harden, secure, and extend the system. This role is a core contributor on our…
Staff engineer designing and building large-scale distributed infrastructure and platforms at LinkedIn's Bengaluru office, using Java, Python, Go, or Scala on systems like Kafka, Kubernetes, and data storage platforms.
This role involves building and operating the data foundation for client AI and analytics solutions, including designing ingestion pipelines, lakehouse architectures, and governed semantic layers. The engineer will work closely with AI engineers and data scientists to ensure data is audit-ready and optimized for AI consumption.
The Senior Data Engineer will build and maintain the AWS and Snowflake data platform to support generative AI features and analytics for life sciences software. The role involves designing data pipelines, implementing data governance, and mentoring team members in a distributed global environment.
Builds and evolves Observe’s data lakehouse abstractions so customers can unify logs, metrics, and traces into queryable, correlated tables at petabyte scale using Go and SQL.
Designs, builds, and maintains scalable data pipelines, lakehouse architectures, and transformations using PySpark, SQL, and cloud/data tools to power enterprise analytics.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just…
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical…
Разрабатывает и поддерживает ETL/ELT-процессы для загрузки данных в Data Lakehouse, строит трансформации и витрины данных, используя Python, SQL, Apache Airflow и Apache Iceberg.
Develop and maintain data platform solutions using Kafka, Java, Spring, and MongoDB. The role involves designing microservices, mapping data, and providing operational monitoring in a hybrid work environment in Wrocław.
Build and run event-driven data pipelines using Kafka, Spring Boot, and GraphQL APIs, integrating MongoDB and cloud/on-prem systems while ensuring observability and security.
The Principal Data Engineer will lead the design and evolution of ASX's large-scale data platform, focusing on data lake and data mesh architectures using AWS, Apache Spark, dbt, and Airflow. The role involves building reusable frameworks, driving DataOps adoption, and collaborating with cross-functional teams to ensure scalable and compliant data solutions.
The Assistant Vice President will lead the design and operation of modern data platform capabilities, including lakehouse architecture and data pipelines, to support investment management. The role involves hands-on engineering with Spark, Python, and SQL while providing technical leadership to a team.
Builds AI-native engineering software for X-energy’s Xe-100 nuclear reactor project, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate regulated workflows.
Builds AI-native engineering software for nuclear reactor development, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate workflows and ensure regulatory compliance.
When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this. As a Manager of Software Engineering at JPMorganChase within…
Senior data engineer designing scalable Snowflake/dbt pipelines for SouthState Bank’s analytics, reporting, and decision-making systems. Leads enterprise data platforms, mentors engineers, and ensures compliance with financial regulations.
The Staff Software Engineer will design and optimize a scalable data platform for petabyte-scale IoT and telematics data using Java, Python, and various AWS technologies. This role involves leading technical strategy for data streaming, storage, and analytics pipelines while ensuring high system reliability.
The Senior Software Engineer will design and optimize a scalable data platform using Java and Python to manage petabyte-scale data streaming, storage, and analytics. The role involves building robust data pipelines and real-time systems using technologies like Kafka, Flink, and Apache Iceberg.
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