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Lead a team of data engineers to build and maintain AWS-based data pipelines and platforms for a battery recycling company, ensuring reliable data flow from ingestion to analytics.
WHO WE ARE Jampp is a programmatic advertising platform used by the most ambitious companies to accelerate their mobile businesses. Founded in 2013, Jampp leverages machine learning, creative optimization, and…
You will design, implement, and maintain data pipelines for Roku's experimentation platform using Python, Spark, and Airflow to enable A/B testing and data-driven decision-making.
Senior Data Engineer builds scalable pipelines and data models to power Roku’s streaming analytics, processing terabytes daily for content insights and business decisions.
Design data models and build scalable pipelines to capture metrics across Roku devices and platforms, enabling data-driven decisions for content discovery and viewing experiences.
Build and productionise ML and generative-AI systems for Roku’s advertising measurement and insights products, using large-scale data platforms and partnering with data scientists and engineers.
Build and productionise ML and generative-AI systems for Roku’s advertising data, including identity resolution, audience modeling, and campaign optimization.
Build and optimize large-scale ad analytics pipelines using Spark, Airflow, and Trino to power Roku’s ad measurement and reporting systems.
Senior Data Engineer at Roku builds and maintains large-scale data pipelines and ETL workflows using Apache Spark and Airflow to power advertising analytics for the TV streaming platform.
Designs and optimizes Roku’s next-gen big data platform, focusing on Spark/Trino-based architectures to improve performance, reduce costs, and enhance scalability for TV streaming analytics.
We are seeking a Senior Data Engineer with 6+ years of hands-on experience and a strong background in real-time and batch data processing, containerization, and cloud-based data orchestration. This role is ideal for…
Senior/founding backend engineer at Zipher, which builds an autonomous execution layer for cloud data and AI workloads. You'll architect and scale distributed, high-throughput backend services that make real-time multi-cloud infrastructure decisions, primarily using Python or Go and AWS services like EMR, DynamoDB, Kinesis, and Kubernetes.
Lead the architecture and development of Pinterest's data warehouse, analytics tools, and governance policies at massive scale, leveraging technologies like Spark, Trino, and AI-assisted coding tools.
Designs and builds Pinterest’s exabyte-scale big data storage platform using Apache Iceberg and other open-source systems, leading technical initiatives and collaborating with data, ML/AI, and infrastructure teams.
Staff Software Engineer on Pinterest's Data Product Platform team, designing and building exadata-scale data warehouse architecture and agentic analytical tools using big data technologies like Spark, Trino, and Flink.
Join the Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands…
Lead a global data team at a fintech company building brokerage infrastructure, overseeing data strategy, analytics, and AI initiatives while managing partner invoicing and embedded analytics for financial institutions.
Build and maintain scalable data models for a global brokerage-infrastructure platform using dbt, Trino, and GCP, delivering financial and operational metrics to stakeholders.
Lead Alpaca’s data governance program: set classification, access, and protection standards for its global brokerage-data lakehouse and analytics stack, ensuring compliance with financial regulations and partner requirements.
Build and maintain scalable data pipelines and metrics for DoorDash’s logistics operations, partnering with engineers and analysts to deliver trusted, self-serve analytics using SQL, Python, and tools like Snowflake and Tableau.
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