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Build and optimize ETL pipelines in AWS using SQL and Python to assemble and transform financial data sets for stakeholders.
Architect and evolve a cloud-native, AI-first DevOps platform on AWS and Kubernetes, driving GitOps workflows, AIOps-driven resilience, and scalable CI/CD for enterprise decisioning software.
Build and run Santander’s AWS-based data lake platform, designing secure, scalable cloud infrastructure and IaC for analytics workloads while collaborating with data engineering and security teams.
Lead the design, development, and deployment of secure, high-performance backend services for enterprise clients using Java, Spring Boot, Kafka, and cloud technologies.
About StratusGrid StratusGrid is building Stratusphere™, a multi-agent platform that turns cloud complexity into measurable outcomes. Stratusphere coordinates specialized infrastructure agents to observe AWS and Azure…
Build and maintain Python-based ETL pipelines and DBT data transformations to process healthcare data, integrating FHIR standards for RevSpring’s outcomes-driven payment and engagement solutions.
Build and maintain AWS-based ETL pipelines (Glue/PySpark, Iceberg, Step Functions) and create Amazon QuickSight dashboards to deliver healthcare analytics for operational and strategic decisions.
Build and migrate BI dashboards from Tableau to Amazon QuickSight using PostgreSQL and AWS services, plus automate testing and deployment.
Build and maintain scalable data pipelines and AI-enhanced analytics infrastructure for a top mobile game publisher, using AWS, Python, Spark, and AI coding tools.
Senior Data Engineer builds and maintains scalable data infrastructure for analytics on a SaaS platform, using AWS services, Spark, and data warehousing tools.
Build and maintain AWS-based big-data pipelines and analytics using Python and SQL, from PoC to production, with cloud services like Lambda, Glue, and Athena.
Build and maintain data pipelines and a cloud data warehouse using AWS and Databricks, then expose clean datasets and dashboards to business teams while contributing to ML/AI use cases.
Build and maintain scalable data and ML platforms for real-time fraud detection and risk decisioning using Java/Python/Scala and distributed systems like Spark, Flink, and Kafka.
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and…
Builds AWS-based cloud-native backend services and data pipelines using TypeScript, Lambda, and Terraform to ingest and process automotive production alarm data for a global manufacturer.
Junior Data Engineer builds and maintains data pipelines, processes datasets, and ensures data quality using SQL, Python, and AWS tools like S3, Glue, and Athena.
Leads a data engineering team building and scaling Databricks-based pipelines, warehouses, and governance to support Miridi’s design-commerce platforms and AI initiatives.
The impact you will make Ensure that FinThrive's values of being Customer-Centric, Agile, Reliable, and Engaged are consistently upheld. Will evaluate the needs of the company and its clients, sift through…
Build and scale a cloud-native, multi-tenant data platform for the automotive industry, enabling real-time analytics and AI use cases across thousands of dealerships.
Design and build scalable data pipelines and platforms to power analytics and AI systems using cloud technologies like AWS, Databricks, and Snowflake.
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