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Build and own scalable data pipelines and warehouses for an AI-powered chronic-care platform, using SQL, Python, dbt, and cloud tools to deliver reliable data products across Europe.
Design and scale the data architecture for a precision-cardiology platform, integrating clinical, device, and real-world data into interoperable, compliant pipelines for analytics, AI, and clinical research.
Design and lead the modernization of a multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls across GCP, AWS, and Azure.
Koniag Services Inc., a Koniag Government Services company, is seeking a talented and innovative Data Scientist to support the development and implementation of advanced data science, machine learning, and predictive…
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more…
Lead a team of data scientists to build AI models for retail use cases like personalization, marketing, and supply chain using Python, SQL, and cloud platforms.
Senior AWS data engineer building scalable healthcare data platforms using EMR, Glue, S3, and Redshift to power global health informatics solutions.
Build and optimize AWS-based ETL/ELT pipelines using Redshift, S3, Glue, and Lambda to move and transform data for analytics and AI/ML workloads.
Lead data warehouse migrations and reporting platform transitions for a mortgage lender, coordinating between business stakeholders and technical teams to deliver cloud-based solutions on time and within compliance.
Build and maintain cloud-native data pipelines and warehouses to feed AI-driven automotive analytics and marketing tools for U.S. dealerships.
Analyze loan-level real estate credit data using SQL and cloud warehouses (Snowflake, Redshift) to build reports and insights for trading and portfolio management.
Build and maintain scalable data pipelines and warehouses for a retail-banking analytics platform using Python, SQL, and cloud tools like AWS and Snowflake.
Build and maintain scalable data pipelines, cloud data warehouses, and real-time processing systems using Python, SQL, and cloud platforms to power analytics and business decisions.
Lead a team building scalable data pipelines and platforms for JPMorgan Chase’s payments technology, using Spark, Kafka, Flink, and Databricks to enable real-time analytics and governance.
Senior Full Stack Developer builds enterprise health-benefits systems using C#, ASP.NET Core, Angular/React, and cloud-native databases on AWS/GCP/Azure.
Build and scale high-throughput data pipelines and feature stores for fraud detection and risk decisioning using Kafka, Spark, and AWS, enabling ML models and real-time rules to combat global financial fraud.
Owns and refines a data-warehouse platform, prioritizing requirements and partnering with architects to deliver ETL pipelines using Talend, AWS Redshift/S3, and Glue for analytics and data-science needs.
Build and deploy production-ready AI-powered apps using LLMs, full-stack dev, and cloud infrastructure; optimize performance, reliability, and security.
Build and maintain data pipelines, write SQL and XML scripts, and troubleshoot integrations for healthcare software, using tools like Databricks, SSIS, and Power BI.
Build and maintain cloud-native data pipelines on AWS, including API ingestion, ETL with Lambda/Glue, Redshift modeling, and dashboards for business stakeholders.
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