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Build and optimize end-to-end data pipelines between Snowflake and Google Cloud Platform, using Snowpark, Tasks, Streams, and Apache Iceberg for scalable, secure, and observable data processing.
Build and operate OKX’s core data platform, writing Java/Python services and pipelines, scaling storage backends like Iceberg/ClickHouse, and using AI tooling to ensure data quality and reliability.
Build and maintain a scalable open-architecture data platform for financial data, using Python, Java, Spark, Iceberg, and cloud services to enable secure ingestion, governance, and analytics.
Build and maintain scalable data pipelines and analytical datasets for financial reference data using Snowflake, Databricks, Spark, and Iceberg, ensuring trusted, production-grade data products.
Design and scale cloud-based data pipelines on Databricks and Snowflake, building medallion-architecture datasets for analytics and AI/ML that power Illumina’s genomics and healthcare products.
Senior Data Engineer - Product <br> Job Description <br> Exciting opportunity for a Senior Data Engineer to join Domain – CoStar in a period of great opportunity and growth. You will have a direct impact on…
Builds and maintains data pipelines between Snowflake and GCP, focusing on PII masking, orchestration, and schema optimization with Apache Iceberg while ensuring robust monitoring and security.
Design and build a scalable enterprise data lakehouse on Databricks and Azure to power analytics, reporting, and AI/ML across Opella’s global OTC and VMS brands.
Build and scale Matterworks' data platform pipelines, turning raw biochemical signals into validated datasets for ML research and product use.
Build and run data pipelines that turn raw mass spectrometry and molecular data into clean, reproducible datasets for AI training and product use in biochemistry.
Lead the design and operation of Kubernetes-based infrastructure and modern data platforms for a fintech startup modernizing trucking logistics payments.
System analyst builds and migrates data pipelines for a government client, reverse-engineering legacy ETL, designing Lakehouse flows, and ensuring data quality in a hybrid stack (Trino, Spark, Kafka, XML/XSD).
About us: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have recently achieved a significant milestone of over 1 billion…
is one of the biggest recruitment and career platforms on the United States market, with 20+ million registered users. The company is founded and managed by Hungarian professionals who introduced and developed the well…
Build and modernize MiQ’s data ingestion and lakehouse platform using Python, PySpark, and Delta Lake on AWS to retire legacy systems and enforce data quality at scale.
Maintain and troubleshoot expeditionary AI-enabled systems for naval operations, including edge servers, sensors, and data pipelines, while integrating ML models into tactical platforms.
Build and integrate AI-driven software for naval systems using Rust, Python, and React, maintaining real-time data mesh and tactical data pipelines to support warfighters.
Principal engineer building Redfin’s next-gen data platform: a Snowflake/Iceberg lakehouse on AWS that unifies ingestion, governance, and AI-ready semantics for 60+ engineers and downstream ML systems.
Build and operate AI-powered data platforms and applications for Disney’s vacation brands, designing end-to-end data pipelines and cloud-native solutions using Python, Spark, and cloud services.
Be Part of Building the Future Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regeneron, NetApp, and S&P Global.…
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