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Senior Data Engineer for Monee, a digital payments and financial services company, based in Singapore. Day to day: build batch and real-time feature pipelines with Spark/Flink, design data marts and ETL, and ensure data quality to support risk and business teams.
Senior data platform engineer hired via consulting firm HumanIT for an IoT client (RF-powered smart stickers backed by SoftBank, Amazon, etc.): designs and builds large-scale, multi-tenant, multi-cloud data pipelines using Kafka, Flink/Spark, microservices, and SQL/NoSQL databases, full lifecycle from architecture to production monitoring. Hybrid in Lisbon, 1-2 days/week in office.
Backend engineer on Coralogix's Alerting team, building a real-time streaming detection system that processes millions of events per second with millisecond latency. The role involves owning distributed, event-driven services end-to-end using Scala/ZIO, Kafka Streams, Elasticsearch, Redis, Kubernetes and AWS.
Database Administrator at Webull's fintech brokerage, based on-site at its St. Petersburg, FL HQ. You design and optimize AWS-managed databases (RDS/Aurora MySQL, DocumentDB, Neptune, OpenSearch), tune queries and schemas for a high-volume real-time trading platform, and build CDC/streaming pipelines.
Senior Software Engineer building the distributed backend services and cloud data pipelines behind TVision's TV-audience measurement platform (a Viant Technology company) — handling device telemetry, content recognition, and large-scale viewing analytics. Core stack is Python on AWS with containerized services and big-data frameworks like Spark/Databricks/Flink.
Design, build, and maintain scalable ETL/ELT data pipelines and real-time streaming solutions for a defense contractor, supporting data scientists and analysts. Work is fully onsite in a SCIF at STRATCOM in Omaha, NE, and requires an active Top Secret/SCI clearance and 5+ years of data or software engineering experience.
At Moss, we give finance professionals the power to automate their day-to-day and make forward-thinking decisions. Our culture is what makes that possible: we play to win, we obsess over quality, and we win as One…
Backend-leaning full-stack engineer on MongoDB's Customer Observability team in Dublin (hybrid), building tools that help users monitor MongoDB Atlas deployments — collecting metrics, tracking slow queries, and surfacing index/schema insights. Core work is in compiled backend languages (Java, C#, Go) with some TypeScript/React/Node.js.
Designs and builds large-scale search and ML systems for a sports betting platform, focusing on real-time personalization, relevance ranking, and vector search to power discovery experiences.
Senior Data Engineer at Artefact LatAm in São Paulo designing, building, and monitoring scalable data pipelines with Apache Airflow, using Python, GCP, and big data tools (Beam/Spark/Flink, Docker). The role spans the full project value chain and includes mentoring teammates, troubleshooting pipelines, and documenting architecture, with fluent English needed for an international environment.
Builds and maintains a global financial data platform for securities, processing real-time market data with AI/ML pipelines using Kafka, Spark, and Iceberg.
Senior Data and Analytics Engineer at SG Fleet in Sydney: leads design and delivery of scalable end-to-end data and analytics solutions, sets data architecture and engineering standards, mentors the team, and builds batch and streaming pipelines on the Microsoft Azure stack (Databricks, SQL Server, Power BI, Kafka/Flink).
Backend engineer on Kong's Billing Platform Team, building and operating TypeScript/NestJS microservices for subscription management, entitlement provisioning, usage metering, and CRM/payment integrations, using PostgreSQL, Kafka, Kubernetes, and AWS, including on-call for billing reliability.
Build and maintain scalable, observable data pipelines on GCP and Kubernetes, ensuring high availability and security for Bloomreach's AI-driven personalization platform.
Staff engineer leading Reddit's Ingestion Platform: designing and operating distributed data-movement services for streaming and batch workloads (Kafka, BigQuery, S3/GCS, Apache Iceberg, Flink) on Kubernetes, building self-service APIs and connectors, and migrating legacy ingestion systems.
Software engineer on Reddit's Data Movement team who builds and maintains the large-scale data ingestion platform powering batch and streaming ML/BI workloads (100B+ events/day). Core stack includes Spark, Flink, Airflow, Kubernetes, and cloud-based infrastructure.
Full stack Java developer in Columbus, OH (Minerva Park area) who takes modern application projects through the full lifecycle — requirements analysis, platform selection, architecture, design, development, testing, and deployment. Core technologies are Java and Apache Flink, spanning both front-end and back-end work.
Навыки: ClickHouse, Kubernetes, Apache Flink, Docker, Apache Kafka, PostgreSQL, Python, Redis, Java, Spring Boot. Квалификация: Senior. Специализации: Бэкенд разработчик. Иви — один из лидеров рынка онлайн-кинотеатров…
Data-focused software engineer on Danggeun Market's Data Valorization team in Seoul, building scalable batch/streaming data systems, automated event logging, observability/data-quality checks, and internal data products (metrics and experiment platforms). Works with Python/Java/Kotlin/Go, AWS/GCP, and big-data tools like Spark, Flink, and BigQuery.
