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Build full-stack data and AI-native applications for TikTok LIVE, including analytics platforms, AI Agents, and diagnostic tools using modern web frameworks, backend services, and large language models.
Build full-stack data and AI-native applications for TikTok LIVE, including analytics platforms, AI Agents, and diagnostic tools using modern frontend/backend stacks and LLMs.
Build core components of a cloud-native streaming database in Rust, focusing on connectors, CDC, and real-time data pipelines for systems like Kafka and PostgreSQL.
Build and maintain scalable data pipelines and QA processes using Python, cloud tools, and big data tech to deliver analytics solutions for clients.
Build and maintain scalable, secure big-data infrastructure using Hadoop, Spark, Kafka, and cloud-native services to support analytics and pipelines.
Build and maintain scalable Java applications with Spring and Hibernate, while automating CI/CD pipelines using GitLab, Azure, and Terraform.
A leading company in the field of sports betting is currently building a central Data Science team in Vienna. For this exciting development, a dedicated individual is sought as a Data Engineer to help shape the…
Build and maintain DevRev’s AI-ready data platform, designing scalable pipelines and optimizing databases to power real-time insights and agentic actions for global teams.
Senior engineer building scalable data infrastructure for real-time network security analytics using Python, Kafka, and Kubernetes in a cloud-native environment.
Principal Data Engineer designs and optimizes secure data pipelines, warehouses, and real-time systems for a biotech company, using Python, Spark, Kafka, and cloud platforms.
Principal Data Engineer designs and optimizes secure, scalable data pipelines (ETL/ELT) and warehouses for real-time/batch processing, ensuring data quality and compliance in a biotech environment.
Build and tune real-time data pipelines using Apache Kafka and Flink to process high-volume user events and transactions for scalable, event-driven systems.
Senior Data Engineer builds and maintains scalable pipelines for telecom CDRs and real-time data using Kafka, Spark, and Flink, ensuring clean, query-ready datasets for analytics and ML.
Design and scale robust data pipelines and infrastructure for AI-driven infrastructure projects, using cloud-native tools like Spark, Kafka, and Airflow to process IoT and telemetry data.
Build and maintain batch and real-time data pipelines using SQL, Python, and tools like Spark and Airflow to feed analytics and operational systems.
Build and maintain scalable data pipelines and lakehouse infrastructure to power analytics and operations using Python, Spark, Airflow, and modern storage systems.
Build and improve data-loss-prevention, endpoint detection, and threat-modeling systems for a global crypto exchange, using Linux/macOS, big-data tools, and enterprise security platforms.
Build and refine data-security detection (DLP, encryption, masking) and respond to incidents; trace data flows to prevent exfiltration using graph detection and big-data tools.
Principal engineer leading architecture and real-time data pipelines for ad-tech measurement, scaling cloud-native systems and mentoring teams.
Build and scale AI-native backend systems for Life360’s experimentation and ML platforms using Java/Spring Boot, Kafka, and AWS, while integrating AI tools like Claude Code into engineering workflows.
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