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Lead backend engineer building Java/Spring services for Disney’s ticketing, reservations, and guest-experience platforms, deploying on AWS and mentoring junior engineers.
Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data…
Designs and maintains robust AI agents and data pipelines. Performs data orchestrations and supports enterprise AI and Data efforts. Works across departments to build scalable AI solutions that ensure reliable, secure,…
Mid-level technical contributor responsible for designing and maintaining robust data pipelines, performing data transformations, and supporting enterprise reporting and analytics efforts. Works across departments to…
Maple SDM Job Description Join us in building the next generation of distributed systems and database technologies to power AWS! About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted…
Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. We are transforming the legal experience for all by bettering the…
Location: Austin, United States of America Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billions…
Job DescriptionJob Description MOTER Technologies, Inc. (“MOTER”) is unlocking the world of connected vehicle data to power innovative products and services for the automotive, mobility, and insurance industries. Our…
The Expertise You Have 6-9 years of professional experience, supporting software solutions in a financial services or enterprise technology environment Bachelor’s degree in computer science or related technology…
Job Summary We seek a Senior Data Engineer to design and optimize scalable data pipelines and processing solutions using Big Data, cloud, and AI technologies. Collaborate with architects, data scientists, and engineers…
Builds the data foundations for Temasek's agentic AI systems: agent-ready data architectures, RAG pipelines, vector/graph knowledge bases, and data quality, lineage, and observability frameworks over structured and unstructured investment data. Core stack includes Python, dbt, Airflow/Spark, streaming tools, and vector databases.
Software engineer on GovTech Singapore's Anti-Scam Products team, building and shipping tech to detect, disrupt and deter scammers at scale — spanning data infrastructure, AI/ML detection, partner APIs, and front-end systems. Day to day you build POCs and features across components, own cloud deployments and observability on AWS, and use Python/TypeScript, React and CI/CD tooling.
Principal Data Engineer at CreateFuture, an AI-native consulting firm in Edinburgh: lead the technical direction of the data practice, define architecture patterns, deliver large-scale cloud data migrations and streaming pipelines for clients, mentor senior engineers, and help shape and sell engagements.
A senior data engineer designs, builds and optimises scalable batch and real-time data pipelines, ETL/ELT frameworks and data lake/warehouse solutions using Spark/PySpark, SQL, Python and AWS services, increasingly integrating GenAI/LLM capabilities, while collaborating with architects, data scientists and business stakeholders.
Staff backend engineer building IonQ's Network and Security Platform: owns high-throughput telemetry ingestion, time-series storage, event streaming, and gRPC/REST APIs, writing Go/Rust daily and deploying on Kubernetes/Terraform across AWS, GCP, and Azure. Onsite in Santa Clara, CA, with on-call and mentoring responsibilities.
Senior distributed-systems backend engineer at IonQ (posted via Capella Space) building the Network and Security Platform in Santa Clara: end-to-end ownership of telemetry ingestion pipelines, time-series storage, event streaming, and APIs that help operators secure networks against quantum threats. Daily work is in Go and/or Rust with Kafka, InfluxDB/TimescaleDB, Kubernetes, and multi-cloud (AWS/
