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Position Summary Our data engineering team is the foundation of this system, ensuring data is accurate, fast, and always available for our models and AI applications. As a Data Engineer , you’ll design, build, and…
Build automated pipelines to consolidate payments, CRM, and ERP data into Snowflake, model finance-grade data marts, and power daily reporting that reconciles with the general ledger.
Build and scale the data infrastructure powering Epiq AI Labs’ legal-focused AI platform, including high-volume document ingestion, distributed processing, and vector/search indexing for retrieval and reasoning engines.
Design and maintain scalable data pipelines using SparkSQL and PySpark to transform IoT device and product data into analytics-ready tables for dashboards, ML training, and causal inference at a cloud platform for physical operations.
You could work anywhere. Why Figment? Figment powers the future of Web3 through industry-leading blockchain infrastructure. As the leading provider of staking solutions, we help 500+ institutional clients optimize…
About Xanadu: Xanadu’s mission is to build quantum computers that are useful and available to people everywhere. At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers. We are creating…
Build and operate high-throughput ETL/ELT pipelines that ingest blockchain, exchange, and text data, then serve clean datasets and APIs for crypto-market analytics and risk models.
Lead Mercury’s enterprise data strategy, designing scalable data models, pipelines, and platforms to support analytics, reporting, and AI-driven products across the insurance business.
Position Overview: We are building our enterprise data platform from the ground up, and we are looking for a Senior Data Platform Engineer to partner directly with our Data Architect to turn a greenfield vision into an…
Build and maintain Vanta’s data infrastructure and analytics stack, designing scalable pipelines and dimensional models to power reporting and ML products for security compliance automation.
Senior Analytics Engineer at Vanta, designing and implementing complex data models, managing data infrastructure, and enabling AI tooling for data-driven decision-making.
Senior MLOps Engineer builds and maintains scalable ML infrastructure for model training and inference, deploys containerized services on AWS and Snowflake, and establishes CI/CD and monitoring standards for production ML systems.
Leads a team of data engineers to build and optimize large-scale ETL/ELT pipelines and analytics systems that power Coupang’s search and recommendation models, using Python, SQL, Spark, and Airflow.
Build and maintain open-source data platforms using Python, SQL, Spark, and Kubernetes; develop ingestion pipelines, debug configs, and deploy dataflows under senior guidance.
Build secure, scalable data pipelines and platforms using Python, Spark, Kafka, and Kubernetes for mission-critical Defence environments.
Build and maintain Verkada’s enterprise data warehouse, automated pipelines, and analytics models to power company-wide reporting and AI-driven insights using Python, SQL, and cloud platforms like BigQuery or Snowflake.
Lead the design and deployment of large-scale generative AI voice and speech systems, building reusable ML infrastructure and guiding cross-functional teams to integrate cutting-edge AI into products.
Build AI models that turn satellite and environmental data into actionable climate insights, using Python, geospatial libraries, and deep learning to assess risks and support energy infrastructure decisions.
Build production-grade geospatial ML models using satellite imagery and deep learning to detect vegetation risks and climate-related infrastructure threats.
Build and deploy ML models that analyze satellite imagery to assess vegetation risks and climate resilience, using Python, PyTorch/TensorFlow, and geospatial tools.
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