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Build and maintain cloud-based data pipelines and ETL solutions on AWS using Python, PySpark, and AWS Glue/Lambda.
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.
Build and maintain data pipelines and ETL processes using Python and AWS services to feed data warehouses and lakes for a global restaurant group.
Lead a team building secure, scalable propagation services for AWS IAM’s next-gen control plane, ensuring global authentication and authorization systems remain highly available and low-latency.
Principal Data Engineer designs and builds scalable cloud data pipelines and warehouses for T-Mobile’s ad-tech platform, leading teams to deliver self-service analytics and big data solutions using Snowflake, Databricks, and AWS.
Build and operate cloud-native data platforms and AI-powered applications for Disney’s vacation brands, designing end-to-end data pipelines and machine-learning systems.
You’ll design, harden, and operate GE Vernova’s global EKS Kubernetes platform that underpins energy-sector SaaS, ensuring 99.99% uptime and compliance with NERC CIP/IEC 62443.
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.
Senior engineer who builds and runs the company’s Snowflake-based data platform, designs ELT pipelines, and ensures reliable, secure analytics for finance, sales, HR and executive reporting.
Design and deploy resilient AWS-based cloud infrastructure using IaC (Terraform/CloudFormation) and DevOps tools (GitHub, Jenkins, Ansible) for secure government systems.
Build, deploy, and monitor ML models and MLOps pipelines on AWS for forecasting and GenAI apps in a biotech setting.
Senior Data Engineer builds and maintains the AWS-based data warehouse (Redshift), ELT pipelines, and QuickSight analytics layer for a fintech company, while preparing the stack for GenAI consumption.
Build and maintain GCP-based data pipelines and warehouses using SQL, Python, and ETL tools to deliver business insights for a global food company.
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.
Build and operate ML infrastructure for drug-discovery models, deploying GPU-backed services, LLMs, and agentic workflows on AWS/Kubernetes while ensuring reliability, observability, and lifecycle management.
Summary Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first…
Lead a team building AI-assisted Java services with Spring Boot, Angular frontends, and AWS infrastructure, using tools like Claude Code to streamline development and delivery.
Senior backend engineer building scalable APIs, data pipelines, and cloud-native services in AWS for a healthcare-focused marketing technology platform.
Build and scale Joulea’s backend platform to integrate ML and building energy models, using Python, FastAPI, AWS, and Kubernetes for a climate-tech startup in Atlanta.
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