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Lead a team building AI-first data products for financial services using PySpark, Java, and Databricks to modernize a strategic data mesh and automate governance, lineage, and data quality.
Lead a team to design and maintain scalable data pipelines and analytics platforms for gaming clients using Microsoft and Azure cloud technologies, with a focus on Databricks and Snowflake.
Senior Data Engineer designs, builds, and optimizes data pipelines and analytics solutions using PySpark, Databricks, and Python to support tax lifecycle technology transformation.
Lead AI/ML initiatives at JPMorgan Chase, designing and deploying agentic/GenAI solutions with LLMs and frameworks like Langchain to solve business problems in a secure, scalable environment.
Build and deploy AI/ML models to automate freight document processing at scale, using Python, PyTorch, and AWS SageMaker to extract and classify data from unstructured documents for a modern payments network.
Build and optimize ML pipelines using PySpark, Airflow, and PostgreSQL to generate alerts and integrate models into production systems.
Designs and maintains scalable data pipelines and ETL processes using cloud and big-data tools to feed analytics and reporting for a global investment firm.
Build and maintain a centralized data warehouse using Python/Scala, PySpark, and Azure Databricks to power ETL, reporting, and analytics for healthcare revenue cycle management.
Builds and maintains a centralized healthcare data warehouse using Python/Scala, PySpark, and Azure Databricks to power ETL, reporting, and analytics across the company.
Build and maintain scalable ETL pipelines and data warehouses for a global fintech leader, using Azure Data Factory, Databricks, and Power BI to deliver clean, governed financial data and interactive reports.
Build and maintain large-scale data pipelines using Spark, PySpark, and cloud tools to process petabyte-scale datasets for mission-driven government projects.
Build cloud-native data infrastructure (Data Lake, Data Mesh) and scalable services in AWS to power scientific publishing workflows using Java, TypeScript, and modern data engineering tools.
Build and maintain data pipelines for a regulated financial clearinghouse using Python, PySpark, and Airflow, ensuring robust data flows for risk calculations, margin calls, and regulatory reporting.
Where Ambition Meets Innovation Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and…
Build and maintain cloud-based data pipelines for financial reporting, using SQL, Python, PySpark, and Databricks on Azure to process credit provision data under IFRS 9 standards.
Lead a team to build and migrate finance data pipelines in Azure Databricks, ensuring scalable, governed solutions for reporting and AI while optimizing costs and enforcing data quality and governance standards.
We are looking for a passionate Full Stack Data Engineer who will help strengthen our data engineering capability with modern software engineering practices. This individual will build robust, maintainable, and…
Build and deploy AI/ML forecasting systems for retail demand planning, including data pipelines, model serving, and MLOps tooling in a cloud environment.
Build and deploy AI/ML forecasting pipelines and systems to predict retail demand, optimize resources, and drive data-driven decisions using cloud-native tools and MLOps practices.
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