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Data Engineer, Asset Platform
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.
Azure/AWS Architect/Delivery Lead-Banking - Senior Manager
Lead cloud data-architecture projects for banking clients, designing Azure/AWS-based data pipelines, warehouses, and analytics solutions using Spark, Kafka, and Snowflake.
Senior Data Engineer
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 Software Development Engineer in Test (SDET)
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.
Senior Data Engineer - Data Platform
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.
Senior Software Engineer
Build and maintain scalable data pipelines and web crawlers using Python, Scrapy, PySpark, and SQL to power McKesson’s healthcare data platform.
Head of Data Engineering, Corporate & Enterprise
Lead a global team to build and maintain AI-ready data pipelines, MDM systems, and agentic AI workflows for an insurance company.
Analytics Engineer
Builds and maintains data pipelines for Canadian Tire’s loyalty program, focusing on ETL, data quality, and automation with PySpark, SQL, and Airflow to support retail analytics and customer insights.
Technical Program Manager II
Technical Program Manager II at CNN leading the modernization of the analytics platform into a single data platform for real-time insights and personalization.
Senior Principal AI Data Engineer
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.
Senior Principal AI Data Engineer
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.
Data Engineering Manager, Customer
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.
Data Engineer
Build and maintain cloud-based data pipelines using Snowflake, SQL, and ETL/ELT tools to feed analytics and reporting systems.
Lead Assistant Manager
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…
Vice President, Full-Stack Engineer
Build and maintain scalable ETL/ELT pipelines and data warehouses for client profitability in finance, using Spark, SQL, Python, and AI-assisted development tools.
Data Product Owner
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.
Big Data Application Developer
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.
Data Architect-68464
Design and maintain enterprise-scale cloud data platforms, data lakes, and lakehouses to power BI, AI/ML, and real-time analytics using AWS, Snowflake, Spark, Kafka, and Python.
Senior Data Scientist
Senior Data Scientist builds AI-driven retail-fashion models for demand forecasting, assortment planning, and generative AI reports using Python, TensorFlow/PyTorch, and AWS tools.
Software Engineer II - AI/ML Developer
Builds and maintains AI/ML systems for JPMorganChase’s banking products, using Python, ML frameworks, and cloud platforms while integrating enterprise AI-assisted tools into the SDLC.