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Builds and maintains scalable data pipelines for migrating/transforming financial data across systems, standardizing schemas, and enabling enterprise visibility into billions of dollars in payments. Core tech: Python/Scala/Java/C#, Databricks/Spark, cloud warehouses, ETL/ELT, and data quality tools.
Team Lead, Software Engineering - Data Transformation <br> Job Description <br> CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and…
Role Summary The AVP Database & Cloud Platform hands-on Support Manager/Lead will be responsible for providing L2/L3 operational support, reliability engineering, and technical leadership for enterprise database…
When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people…
Design and maintain scalable data pipelines for Grab’s lending business using Flink, Spark, Kafka, and AWS services to deliver real-time metrics and analytics.
The Senior Data Engineer will build and maintain the AWS and Snowflake data platform to support generative AI features and analytics for life sciences software. The role involves designing data pipelines, implementing data governance, and mentoring team members in a distributed global environment.
Build and maintain scalable AWS data pipelines and analytics platforms using SQL, Python, and Spark to enable business insights and reporting.
Build and maintain high-throughput ETL/ELT pipelines, optimize data workflows, and ensure clean, reliable data products using Python, PySpark, SQL, and modern lakehouse tools.
The Data Engineering Intern will assist in designing, developing, and optimizing data pipelines and platforms to support enterprise-scale data insights. The role involves working with SQL, Python, and various ETL and BI tools to maintain data integrity and support data-driven decision-making.
The Lead Member of Technical Staff will lead the architecture and delivery of scalable API platform solutions at Salesforce, driving technical strategy and mentoring engineers. The role focuses on building foundational platform capabilities using AWS, CI/CD automation, and contract-first development practices.
Design and optimize cloud-native data platforms using Snowflake and AWS, building scalable ETL/ELT pipelines and real-time streaming systems for logistics analytics.
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
Leads cloud-native AI platform architecture at Experian, designing scalable, secure, and agentic AI systems on AWS while defining DevOps standards, infrastructure, and SLOs for global fintech operations.
Designs and builds scalable data pipelines and cloud data platforms to process high-volume financial transactions using Python, Spark, and AWS.
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical…
The Principal Data Platform Architect advises enterprises on designing Snowflake’s Cloud Data Platform, bridging technical and business needs. They lead sales cycles, deliver demos, and collaborate with customers to architect scalable data solutions using Snowflake’s tools and multi-cloud technologies.
Designs and governs enterprise data architecture on cloud platforms, building scalable data warehouses, lakes, and pipelines to support analytics and reporting.
Senior Java Backend Developer responsible for system architecture design, development, and integration testing of Java backend applications with extensive messaging and transaction processing. Core technologies include Java, Spring Boot, AWS cloud services, Docker, Kubernetes, SQL/NoSQL databases, and messaging systems like Kafka.
Builds AI-native engineering software for X-energy’s Xe-100 nuclear reactor project, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate regulated workflows.
Builds AI-native engineering software for nuclear reactor development, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate workflows and ensure regulatory compliance.
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