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Senior Data Engineer builds scalable ETL/ELT pipelines and cloud-native data infrastructure for a high-performance digital-asset trading firm, ensuring reliable, secure data access in a fast-paced environment.
Build distributed Java services for a global observability platform, using Kafka and Kubernetes to process and analyze data at scale.
Data Engineer/Backend Developer building secure data pipelines and APIs for defence and security systems using Spring Boot, Flink, and React.
Build and own large-scale distributed data pipelines using Airflow/Dagster, Spark, dbt, Kafka, and AWS to power global retail analytics and decision-making.
Design and build scalable data platforms, including databases, ETL/ELT pipelines, and data warehouses, to support analytics and BI for large-scale services.
Build and harden Gorgias’ multi-cloud platform by designing secure-by-default Kubernetes and GCP architectures, enforcing policy-as-code, and running the detection/response program to meet enterprise-grade security standards.
Builds and scales a cloud-native security platform using Java, Spring Boot, and microservices, processing terabytes of data daily.
Lead the design and build of scalable data pipelines and ETL processes for a bank, using Spark, Flink, and AWS to deliver clean, real-time data for analytics and AI-driven insights.
Build cloud-native backend services and data pipelines for real-time water management analytics, integrating AI/ML features to power smart alerts and anomaly detection for utilities.
Designs and leads the architecture of a scalable enterprise data platform, including ingestion, storage, processing, governance, and consumption layers using modern cloud data tools.
Design and lead enterprise-scale data platforms, pipelines, and ML solutions for clients, using cloud-native tools and modern architectures like Lakehouse and Data Mesh.
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply,…
About the team We are a focused engineering team of 5 to 9 people at a multi-product tech SaaS company. We work across personalization, recommendation, fraud detection, and some GenAI, through real-time,…
Design and deploy scalable cloud-based streaming analytics architectures for AWS customers using Kinesis, Kafka, and Flink, enabling real-time data pipelines and AI-driven insights.
Build and deploy AI models, RAG pipelines, and LLM-powered systems for early-stage startups backed by a VC firm.
Lead a team building core ML data infrastructure, including feature stores, pipelines, and streaming systems to power Amazon’s bot detection models at scale.
Build and maintain cloud-based data pipelines (batch and real-time) on AWS, using SQL, Python, ETL tools, and Snowplow to feed analytics and product insights.
Build and maintain scalable data pipelines and cloud-based platforms to power analytics, personalization, and ML across FOX’s digital media ecosystem using Python, PySpark, Kafka, and AWS.
Build and operate Yelp’s real-time streaming platform using Kafka and Flink, ensuring reliability and scalability across multi-cloud environments while automating cluster operations and incident recovery.
Build backend systems for fleet visibility using IoT data, design Kafka/Flink pipelines, and develop scalable APIs for equipment monitoring.
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