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Build and maintain data pipelines and AI-driven applications using Python, Spark, Kafka, and Kubernetes to enable intelligent automation and deep insights for HPE's device management product.
Build and maintain AI agents for image-processing systems using Python, FastAPI, and Azure, with Apache Airflow orchestration and Docker deployment.
Build and maintain ML/data pipelines and backend services using BigQuery, GCS, and cloud-native tools to power LiveRamp’s identity resolution and agentic platform.
Lead the design and deployment of ML models for credit risk, collections, fraud detection, and customer segmentation in digital lending, using Python, SQL, and MLOps tools.
Build and deploy production-ready AI and multi-agent systems for healthcare, focusing on secure, compliant generative AI workflows using LLMs, RAG pipelines, and cloud platforms.
Build and maintain scalable data pipelines and warehouses for a fintech platform using SQL, Python, dbt, and Snowflake to power analytics and client-facing products.
Lead cloud data-architecture projects for banking clients, designing Azure/AWS-based data pipelines, warehouses, and analytics solutions using Spark, Kafka, and Snowflake.
Builds and maintains Snowflake-based data pipelines and models, using dbt, Kafka, and Python to deliver scalable, high-quality datasets for analytics and AI initiatives in a travel-focused loyalty/engagement platform.
Lead a team to design and maintain automated testing frameworks for Java-based cloud-native apps and data pipelines, reducing manual testing and improving CI/CD workflows.
Build and maintain scalable data pipelines and a modern Lakehouse platform using Snowflake, Databricks, AWS, Kafka, and Flink to power analytics and ML across a large real-estate marketplace.
Build and maintain scalable data pipelines and web crawlers using Python, Scrapy, PySpark, and SQL to power McKesson’s healthcare data platform.
Lead a global team to build and maintain AI-ready data pipelines, MDM systems, and agentic AI workflows for an insurance company.
Technical Program Manager II at CNN leading the modernization of the analytics platform into a single data platform for real-time insights and personalization.
Build and optimize AI-ready data pipelines, vector stores, and retrieval systems using Airflow, Elasticsearch, and Python to power large-scale AI models and RAG applications.
Design and operate AI-focused data pipelines that ingest, store, and process high-volume data for model-ready datasets, vector stores, and low-latency retrieval in a government defense context.
Lead a team of Data Engineers to build scalable data solutions for DraftKings' customer-focused systems, using cloud platforms like Snowflake and Databricks, while advancing AI-enabled development practices.
Build and maintain cloud-based data pipelines using Snowflake, SQL, and ETL/ELT tools to feed analytics and reporting systems.
We are looking for a skilled Data Engineer with strong DBT experience to design, develop, and optimize scalable data transformation pipelines on modern cloud data platforms. The ideal candidate should have hands-on…
Own and prioritize the backlog for data products (pipelines, datasets, dashboards) that power pharmacy economics analytics, ensuring trustworthy, governed data for internal and client use.
Build and maintain large-scale data pipelines and analytics platforms using Hadoop, Spark, and related big-data tools to process and analyze massive datasets for enterprise clients.
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