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Designs and leads TradingView’s enterprise data architecture, including real-time financial data pipelines, data lakes, and AI-ready infrastructure while mentoring engineers and setting data governance standards.
Build and scale a control system for Gridware’s distributed grid-monitoring devices, handling millions of daily events, low-latency telemetry pipelines, and cross-team data services.
Build and scale ML pipelines to normalize telematics data, detect anomalies, and forecast routes for logistics and insurance customers using time-series and geospatial models.
Build and scale Patreon’s data pipelines and streaming platforms (Kafka, Spark, Airflow) to power real-time features, analytics, and ML systems for creators and fans.
Design and lead enterprise-scale data platforms using Databricks, AWS/Azure services, and modern architectures like Medallion and Data Mesh; pair with engineers to build production-grade data products.
Build and maintain data pipelines that normalize telematics data from 248+ providers into a single API for logistics and insurance customers, including real-time vehicle tracking and derived products like stop detection and ETAs.
Build and maintain data pipelines and infrastructure to support Merck’s healthcare and pharmaceutical operations using modern data engineering tools.
Lead the design and build of a scalable data platform for a mobile game targeting millions of users, using AWS and modern data tools to power analytics and decision-making.
Senior Data Engineer to design and build scalable data pipelines and infrastructure for a mobile game, processing billions of daily events to power analytics, LiveOps, and marketing.
Lead a team building and optimizing AWS-based data pipelines and warehouses using Glue, Redshift, S3, Lambda, Spark, and Python/SQL.
Lead the build of a cloud-scale data platform for a global fintech firm, turning terabytes of trading and product data into reliable, analytics-ready pipelines and AI-ready warehouses using AWS, Python, and modern ETL/ELT tooling.
Designs and maintains Java-based Spring Boot microservices for a global client, focusing on event-driven architectures, AWS cloud infrastructure, and integrating AI tools into production systems while ensuring scalability and observability.
Lead a team building scalable data pipelines and real-time analytics for Target’s finance systems using Hadoop, PySpark, Scala/Java, and cloud platforms.
Build and optimize large-scale data pipelines and analytics platforms for Target’s finance systems using PySpark, Hadoop, and cloud services.
Builds and maintains scalable data platforms for PlayStation, handling ETL/ELT pipelines, analytics, and unstructured data (audio/video/text) to enable real-time insights and user experiences.
Deputy is a global SaaS workforce management company with hubs in Sydney, Melbourne, San Francisco and London, plus team members working remotely across the United States. Our platform serves over 1.5 million workers…
Data Architectures Section Manager Location: Chantilly, VA Time Type: Full time Job Description The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and…
Senior engineer building and scaling a high-traffic edge-computing platform that intercepts and optimizes web traffic for e-commerce at massive scale using TypeScript, Python, and cloud-native tooling.
Build and own high-throughput .NET 8+ backend services using C# and AWS, designing event-driven architectures and deploying via CI/CD while writing TDD tests.
Build and scale live sports streaming infrastructure and automation for Prime Video, using AWS services and ML to deliver error-free, high-quality experiences to millions of users.
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