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This role involves developing high-quality backend components and distributed filesystems for Salesforce's cloud platform. The engineer will work with Java, Python, and various cloud infrastructure technologies to build scalable, multi-tenant SaaS solutions.
Builds cloud-native data platforms and analytical applications for genomic data at petabyte scale, turning statistical genetics methods into scalable, high-performance commercial products. Bridges bioinformatics scientists, cloud engineers, and product teams to deliver APIs, UIs, and interactive query interfaces for population-scale health research.
Why Join GEICO? At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there…
Build and scale Stripe’s core data pipelines and warehouses that power payments, risk, and product analytics using distributed systems like Spark, Flink, and Kafka.
The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration Management, CI/CD, Automation, AWS, Linux systems administration, Scripting in Bash and Programming in…
We are seeking a highly motivated and experienced DevOps Engineer to join our fast-paced development team. The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration…
At Index Exchange, we’re reinventing how digital advertising works—at scale. As a global advertising supply-side platform, we empower the world’s leading media owners and marketers to thrive in a programmatic,…
Builds and optimizes a high-performance, scalable data lakehouse architecture with sub-minute latency, managing CDC pipelines, distributed query engines, and AI-driven workflows to support fintech payments and user analytics.
A government-focused data scientist builds predictive models and data-driven solutions for defense/intelligence programs, leveraging Python, SQL, and ML to analyze large-scale datasets and optimize mission-critical outcomes.
Builds and maintains backend services and APIs to process and analyze telemetry data from Apple devices, using databases, cloud platforms, and container orchestration.
Builds and optimizes LinkedIn’s next-gen infrastructure (data, storage, streaming, traffic) to enable AI-first, scalable, and reliable product experiences at massive scale.
ABOUT US Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and…
Staff Engineer architecting and leading development of the Acceldata Open Data Platform, a petabyte-scale distributed data infrastructure system. Core tech: Java/Scala, big data stack (Hadoop, Spark, Kafka, etc.), Kubernetes, and multi-cloud environments.
Особенности Удалёнка или гибрид Гибкий график Белая зарплата Полугодовые премии Обучение за счёт компании ДМС со стоматологией Обязанности Сбор требований с бизнес-заказчиков и анализ источников данных Разработка,…
Build and maintain data pipelines and ELT workflows using Airflow, PySpark, Trino, and Snowflake to move and transform data reliably.
Build and maintain backend services for RBC’s metadata management platform using Python, MongoDB, and RESTful APIs to support data governance and compliance in financial services.
Must Needed Skills: Apache Airflow, Python, PySpark , Hive(Trino), SQL and Snowflake Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python, PySpark , Hive(Trino)…
Lead Analytics Engineer responsible for driving monetization metrics and data pipelines, partnering with data scientists and engineering teams, using SQL, Airflow, Tableau, and other data engineering tools to build and maintain analytics solutions.
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