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Build and scale Matterworks' data platform pipelines, turning raw biochemical signals into validated datasets for ML research and product use.
Build and run data pipelines that turn raw mass spectrometry and molecular data into clean, reproducible datasets for AI training and product use in biochemistry.
Build and maintain automated test suites for Vertice’s SaaS procurement platform using Playwright, Behave, and Python, ensuring high-quality releases across React/TypeScript frontends and serverless AWS backends.
Leads a team of data/analytics/cloud engineers designing and implementing scalable, secure APIs for Synchrony’s enterprise data lake, leveraging Java Spring Boot, AWS (EMR, S3, Athena), and AI/ML-ready architectures to enable real-time financial decision-making for clients.
Company Overview Delta Galil USA, Inc. is a global manufacturer and marketer of branded and private label apparel products for men, women and children. Since its inception in 1975, the company has continually…
Design and enforce secure-by-design controls for a cloud-native SaaS platform, ensuring FedRAMP and other regulatory compliance across Azure and AWS environments.
Design and implement enterprise Master Data Management solutions for healthcare domains, building trusted Golden Records and scalable cloud-native data pipelines to power analytics and AI initiatives.
Analyzes and reconciles healthcare claims in Athena to resolve billing discrepancies and underpayments for a payer-contracted services platform.
Senior Data Engineer builds and maintains large-scale cloud data pipelines and processing systems using AWS and big data tech to power analytics and ML at a global weather data provider.
Analyze payment fraud patterns, design rules to block fraud while keeping approvals high, and automate reviews using data and AI/ML models.
Build and maintain SQL views, stored procedures, and Python-based pipelines in AWS Redshift to transform raw data into financial and operational analytics for a US commercial real-estate investment platform.
Build and maintain AWS-based data pipelines (S3, Athena, Glue, Lambda) to process large volumes of structured and semi-structured data for Experian’s fintech products.
Designs and implements data transformation/modeling layers on Lakehouse platforms (e.g., Iceberg) for a vehicle management app, ensuring safe changes via testing and documentation. Builds tools for self-service data access, operates CDC pipelines, and optimizes query performance for analytics on AWS with Kafka, Flink, and SQL databases.
Build and maintain data pipelines, streams, and warehouses using Talend, PySpark, Kafka, and AWS services for a client in Reading, PA.
Build and maintain cloud-native microservices for Morningstar’s index products using Java, Spring Boot, AWS, Kafka, and Docker in a fast-paced Agile team.
Builds and maintains large-scale data pipelines on Palantir Foundry/AIP, designing scalable solutions for enterprise datasets, and enabling AI/ML use cases using Python, PySpark, TypeScript, and AWS services like S3/Redshift.
Amazon Web Services Open Data Analytics (ODA) organization is looking for exceptional engineers to help in our mission to provide the world’s best cloud Big Data processing platform and services such as EMR and Athena.…
Build and optimize scalable financial software using Java, Spring Boot, and big-data tools like Spark and Hadoop to process large datasets for banking systems.
Build and maintain secure cloud-native backend services for a government space operations platform, deploying Docker containers to AWS with Kubernetes and contributing to a CI/CD pipeline.
Build and maintain ETL pipelines using Python, PySpark, and AWS Glue, orchestrating workflows with Step Functions and Lambda while optimizing Redshift and S3 storage solutions.
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