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Designs and maintains data pipelines and infrastructure that feed an internal AI platform, using Python, Prefect, Spark, and cloud services to support investment professionals.
Designs and maintains high-performance data pipelines and platforms for a hedge fund, enabling real-time trading, AI, and risk analytics with ultra-low-latency requirements.
Senior Data Analytics & AI Engineer Location: Dublin, Ireland Time Type: Full time Job Description Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure…
Lead Data Analytics & AI Engineer Location: Dublin, Ireland Job Description Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services…
Analytics Engineer Location: Los Angeles, CA, United States; New York, NY, United States Department: Card Tech Engineering About Us Fanatics is building a leading global digital sports platform. We ignite the passions…
Senior Data Engineer at ShyftLabs designs and builds enterprise-scale data platforms for Fortune 500 clients using Databricks, Spark, Python, and cloud platforms, while leading teams and client engagements.
Builds and operates backend services for a fintech platform’s wealth products, using Java, Spring Boot, PostgreSQL, and AWS to enable users to save and invest.
Senior backend engineer building a music-royalty platform that processes licensing and distributes royalties to songwriters using Java Spring Boot microservices and AWS services.
Designs and builds real-time, multimodal data pipelines that enrich raw data with ML models to power Apple’s customer-facing services at massive scale.
Principal Engineer designing and evolving backend platforms that power Genesys’s AI-driven customer experience products, focusing on secure, low-latency systems at global scale.
Design and build scalable cloud data pipelines and data lakes on AWS, using Python/Java, Spark, and Snowflake to transform raw data into actionable insights for enterprise clients.
Develops front-end software (React, Python/FastAPI, AWS) for manufacturing automation tools, integrating IoT (MTConnect, MQTT), AI/ML, and enterprise systems to enable real-time decision-making for spaceflight systems.
Designs and runs performance, resiliency, and stress tests for DTCC’s financial-market systems using tools like JMeter and LoadRunner, then analyzes results to recommend improvements.
Designs and runs performance tests for financial-market infrastructure systems, using tools like JMeter and LoadRunner to validate scalability and resilience under load.
Leads the design and operation of a large-scale cloud data warehouse and lakehouse platform, building pipelines and models that power analytics, reporting, and AI across the business.
Design and implement modern data platforms and AI agent foundations for automotive manufacturers using AWS analytics tools like Redshift, Athena, and EMR.
Lead cloud architect designs enterprise-grade Azure and Databricks data platforms for financial clients, building scalable ETL pipelines, governance frameworks, and MLOps patterns while guiding engineering teams.
Lead a team designing and building scalable data pipelines and architectures for Disney’s guest-facing digital experiences, using cloud platforms (AWS/GCP), SQL, Python, and modern data stack tools.
Build and scale cloud-native microservices, APIs, and ML pipelines for Nike’s digital platforms, using Java, Node.js, React, and AWS serverless/Kubernetes, while operationalizing ML models and modernizing legacy systems.
Lead AI/ML model development for enterprise-scale financial reconciliation, deploying Agentic AI and LLMs using Python, LangGraph, and Kubernetes to drive global banking operations.
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