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Senior Python developer builds event-driven data-processing services on GCP for a major financial institution using FastAPI, Pub/Sub, BigQuery, and Cloud Functions.
Builds and migrates enterprise-scale Databricks lakehouses for financial clients, designing Spark-based pipelines, governance, and ETL workflows to enable AI risk models and agent systems.
Senior backend engineer building scalable stream-processing pipelines (Kafka, Flink) to turn IoT sensor data into real-time asset location, geofence events, and alerts for fleet visibility.
Builds and modernizes Node.js microservices and REST APIs, migrates legacy systems to AWS, and designs scalable front-end apps in a hybrid Agile team.
Lead AXS’s global data engineering team, building and scaling data pipelines, warehouses, and real-time systems that power analytics, personalization, and fraud prevention for live-event ticketing.
Leads product strategy for Auth0’s platform infrastructure, defining features that secure identity management for AI and human users.
Build and scale a Databricks-based lakehouse on AWS to power analytics and AI, while creating reusable data pipelines and abstractions for internal teams.
Architect and lead enterprise-scale data platforms, MDM, and agentic AI integrations (RAG, LLM workflows) in cloud-native environments, while setting engineering standards and mentoring teams.
Architect and lead enterprise-scale data platforms, MDM, and agentic AI systems, building scalable pipelines and trusted data foundations for analytics and AI-driven applications.
At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters.…
Designs, builds, and deploys AWS-based contact-center and CX platforms, focusing on Amazon Connect integrations, Lambda, CloudFormation, and analytics pipelines using QuickSight and Athena.
Build and optimize high-throughput, low-latency serverless microservices in Python on AWS Lambda, using Terraform for IaC and Jenkins for CI/CD, while tuning DynamoDB models for performance.
Build and automate the AWS and Snowflake infrastructure for a UK trading business, owning Terraform IaC, CI/CD pipelines, and production environments to enable safe, rapid deployments.
Designs and governs scalable data architectures on Azure, migrating legacy systems to modern cloud platforms and enabling AI-driven analytics for public-sector clients.
Senior Data Engineer builds and optimizes data pipelines, warehouses, and lakes for Prudential’s financial reporting, using Python, Spark, SQL, and cloud tools like AWS and Snowflake to enable analytics and modeling.
Build and optimize scalable data pipelines and lakehouse architectures using Databricks, Spark, Kafka, and Airflow to power analytics, ML, and newsroom workflows at a major media company.
Designs and builds scalable data pipelines, warehouses, and lakes using cloud and traditional tools to enable analytics and automation for an insurance carrier.
Designs scalable messaging architectures using AWS SQS, SNS, and MQ for global customers, guiding migrations from on-prem brokers and advising on event-driven patterns.
Build and scale the cloud-native infrastructure that powers Pivotal Health’s AI-driven healthcare reimbursement platform, focusing on reliability, security, and developer productivity.
Own cloud and AI token cost optimization for a conversational CRM platform, right-sizing AWS resources and reducing LLM spend while maintaining performance and reliability.
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