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Build and maintain scalable data pipelines and a modern Lakehouse platform using Snowflake, Databricks, AWS, Kafka, and Flink to power analytics and ML across a large real-estate marketplace.
Lead a team building and scaling a secure, AI-driven KYC and risk data platform using Python/Java, Databricks, Spark, and cloud-native tools to support JPMorganChase’s global operations.
SAIC is seeking a highly experienced System Administrator Expeditionary Systems (OpAI) to contribute to the integration of AI capabilities into expeditionary systems, including sensor kits, UxS, C2, and TAK. The…
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference…
Staff Software Engineer in the Realtime & Streaming team at Judi Health, responsible for designing, building, and operating streaming infrastructure including WAL replication and event streaming platforms. The role involves leading batch-to-streaming migrations, setting technical standards, and ensuring timely event delivery across various data consumers.
The Space Telescope Science Institute (STScI), operated by the Association of Universities for Research in Astronomy (AURA), is NASA’s science operations center for missions including the Hubble and James Webb Space…
Designs and maintains scalable cloud data pipelines and warehouses using Python, SQL, and AWS services to support analytics and AI workloads.
Build and automate Apple Ads’ Snowflake-based cloud data warehouse on AWS, using Iceberg lakehouse tech and Python to deliver reliable, scalable advertising analytics and pipelines.
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team and mentoring peers.
Build and maintain an event-driven data platform using Apache Kafka, Java/Spring Boot, and Kafka Streams to integrate and process data across systems.
Senior Data Platform Engineer builds and maintains an event-driven data platform using Apache Kafka, Java/Spring Boot, and Kafka Streams for a bank, integrating systems with MongoDB, Iceberg, and S3.
Builds and scales an event-driven data platform using Apache Kafka, Java/Spring Boot, and Kafka Streams to integrate and process data across business systems.
Builds and scales an event-driven data platform using Apache Kafka, Java/Spring Boot, and Kafka Streams to integrate and process financial data across systems.
About the role This is a hands-on, senior individual-contributor role with a strong passion on building a possible vendor neutral lakehouse. You will own data pipelines end to end and build out the governance and…
Every data team says they care about quality. Most of them are still firefighting the same pipeline failures every Monday morning. We’re looking for a Tech Lead who ends that cycle. Someone who defines how data is…
Design and govern a healthcare-focused enterprise data lakehouse, building semantic layers, ontologies, and AI-native data architectures while ensuring HIPAA/FHIR compliance and scalable cloud-native pipelines.
Build and migrate a legacy Hadoop data warehouse to a modern Spark 3/Iceberg lakehouse, optimizing ETL pipelines and analytics for a large-scale client.
Build and scale a centralized feature platform that powers Wise’s real-time fraud and AML detection systems using Java, Kafka, and stream processing.
Build and maintain a modern data platform integrating streaming pipelines with Java/Spring Boot, Apache Kafka, MongoDB, GraphQL, and Iceberg for a banking-sector client.
Lead the design and delivery of a cloud-native healthcare data platform using AWS, Apache Iceberg, and modern data tools, while mentoring engineers and ensuring data reliability.
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