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Design and build ultra-low-latency, lossless data-center fabrics for AI training and inference clusters, translating logical topologies into physical deployments across GPU platforms.
Lead a team to analyze and optimize subscription billing, payments, and subscription analytics using SQL, dashboards, and statistical modeling to reduce churn and disputes.
Lead the build-out of OpenFX’s data infrastructure and analytics stack, then use it to deliver insights on payments, liquidity, risk, and growth for a cross-border fintech startup.
Builds and scales Python-based logistics services, optimizing delivery routes with geospatial data and cloud-native tools for Allegro’s Delivery Optimization Engine.
Lead a Python team building a cloud-native trading platform that embeds quant strategies into a unified system using AWS, Flask, and FastAPI.
Build and own the data infrastructure and analytics that guide Ironclad’s AI-powered contracting platform, turning product usage and contract data into insights that shape the roadmap and drive customer value.
Builds and optimizes distributed data pipelines using Python, Apache Spark, Airflow, and SQL; automates workflows with Bash and analyzes data in Jupyter Notebooks.
Designs and builds scalable data models and pipelines on GCP using BigQuery and Airflow to power analytics and business decisions.
Build and own scalable data pipelines, metrics, and AI-driven workflows to evaluate and improve an autonomous-truck virtual driver using Python, geospatial analytics, and LLM agents.
Build and maintain data pipelines for a hospital’s health-data warehouse using Spark, Airflow, and Kubernetes, ensuring data quality and availability for researchers and clinicians.
Build and maintain ETL pipelines that transform global street data into optimized formats for Esri’s routing and network analysis tools using Python, SQL, and cloud/containerized workflows.
Lead the development and maintenance of scalable, reliable data pipelines and data processing frameworks supporting a variety of business and product use cases. Ensure data quality, integrity, and readiness by…
Company Overview: Our client is a premier Data Cloud and Business Intelligence consulting company specializing in helping businesses harness the power of cloud technologies to drive data-driven decision-making and…
Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. We are transforming the legal experience for all by bettering the…
Job Description What is the opportunity? Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications? Come join us! Global Functions Technology (GFT) is part of…
Build and maintain cloud-native backend systems and AI-driven analytics for a healthcare platform using Python, Azure/AWS, and Kubernetes.
Build and scale an AI-powered healthcare platform that unifies clinical intelligence and value-based care workflows using full-stack development and cloud-native infrastructure.
Senior software engineer building scalable data pipelines and distributed analytics using Python, Apache Airflow, Spark, and SQL to process large datasets for government analytics workloads.
Builds and maintains data workflows and automation pipelines using Apache Airflow, Spark, and containerization tools to support secure, scalable data engineering and analytics for government contracts.
Senior Software Engineer at a global consultancy building data-intensive backend systems and AI-powered features for US financial-services clients using Python, Airflow, and cloud infrastructure.
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