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Develop enterprise Java applications for a streaming platform, building scalable backend services with multithreading, real‑time data pipelines (Spark/Flink), REST APIs, and integrating Angular front‑ends, while using Elasticsearch, Docker/Kubernetes and CI/CD pipelines.
About the Role: The Software Asset Management product empowers organizations to manage software licensing and compliance with precision. Our engineers build performance-efficient algorithms that help customers achieve…
The Opportunity This position is a senior engineering role at a data and AI company - which means you'll be close to the product, close to customers, and building systems that are used from day one. You'll…
We Are Sparta Sparta is the next-generation commodity trading platform. We give trading desks the clarity, control, and collaboration they need to move faster and trade smarter. In February 2025, we secured $42 million…
Architect and lead the next-generation e-commerce platform for a global sports merchandise leader, designing scalable microservices, APIs, and AI-driven systems to handle millions of transactions and deliver seamless fan experiences.
Data Engineer in Ang Mo Kio, Singapore who re-platforms workflow-based integrations, builds ETL pipelines ingesting files into relational databases, and maintains cloud big data/Lakehouse pipelines. Core stack: workflow orchestration platforms, SQL/SQL Server, Python, Spark, and CI/CD for data workflows.
Java Backend Developer with Apache Flink Location: Pittsburgh, PA / Dallas, TX Work Model: Hybrid – 3 Days/Week Onsite Interview: Video Interview Employment Type: Full-Time Industry: Banking / Financial Services…
Build and scale Lyft’s routing engine and cloud services that process millions of route requests daily using C++, Go, Python, AWS, Kafka, and Flink.
Senior Software Engineer at Zuora in Foster City, CA, designing and scaling high-performance billing and revenue systems using Java, Spring, Kafka, and AWS for real-time data processing.
Software Developer on the Platform Engineering team building and maintaining cloud-native backend services and frontend components for Nakisa's enterprise SaaS platform, using Java, Spring Boot, Vue.js, and microservices architecture in a hybrid Montréal setting.
Principal Data Engineer at Hims & Hers designs and leads the company-wide data platform architecture, ensuring scalable, compliant, and cost-efficient data infrastructure for healthcare and wellness services using GCP, Kafka, BigQuery, and modern data stack tools.
An onsite Data Engineer role in Brampton, Ontario for a global IT/consulting client, focused on building ETL pipelines, vector search infrastructure (pgvector, Azure AI Search, Redis), and event-driven systems that refresh embeddings for RAG/AI applications. Requires 5-7 years of experience with distributed data systems, SQL, and orchestration tools.
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through…
Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized…
The role is in Apple Services Engineering (ASE) in London. ASE is the team behind high-profile services such as the App Store, Apple iCloud, Apple Music, Apple TV+, Apple Arcade and more. Our Analytics and Data…
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently…
Lead data warehouse developer at a sports betting company: builds and designs the corporate DWH on Greenplum, develops and maintains streaming pipelines (Kafka/RabbitMQ → RisingWave/Apache Flink) orchestrated with Airflow, using Python and PL/pgSQL. Hybrid, remote, or office in Moscow.
A Senior Big Data Engineer designs, develops and optimises scalable data platforms built on Lambda and Kappa architectures, tuning Spark and Flink workloads and managing memory for large-scale processing. Core stack includes Python/Java/Scala, SQL, distributed systems and cloud-native tooling, working alongside analysts and engineers on robust data pipelines.
Lead a distributed data engineering team to build and maintain high-throughput ad-tech pipelines using Python, Spark, Flink, Kafka, and GCP, while owning on-call, cost, and CI/CD for streaming and batch systems.
Build and scale backend systems and APIs for an AI-driven adtech platform, working with Python, Go, Kafka, and cloud infrastructure to process billions of daily events.
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