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Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Over 180,000 restaurant…
Senior data engineer who designs, builds and maintains ETL pipelines, data models and orchestrated workflows (Apache Airflow, DBT) feeding a data warehouse, including real-time streaming with Kafka/PySpark. Core stack is Python and SQL; hybrid role based in Taguig, Philippines.
Why should you consider joining Auvik? You want to work at a company that is building impactful, relevant technology. Auvik’s network management software helps IT teams by automating time-consuming tasks, streamlining…
About the Job: We’re looking for an Engineering Manager to lead LaunchDarkly’s Cloud Engineering team, the team responsible for the foundational infrastructure our products and engineering teams depend on. Cloud…
Senior Data Architect based in Peru (hybrid) who designs modern, scalable and secure cloud data architectures on Azure and Databricks. Day to day they define data standards, ETL/ELT pipelines, governance and security strategies, and embed DataOps/DevOps practices across enterprise analytics initiatives.
Build and maintain scalable ETL/ELT pipelines and data warehouses for a SaaS real-estate platform using AWS, dbt, Redshift, and Postgres.
Netskope is hiring a Sr. Staff Engineer in Taipei to architect and build global-scale distributed data platforms and pipelines, plus backend infrastructure for Agentic AI and conversational analytics. Core stack spans Python/Java/Scala, SQL, Postgres/ClickHouse/BigQuery, Spark/Flink, Kafka, and major cloud platforms.
Lead a backend engineering team building cloud infrastructure for AI-enabled software-defined vehicles, processing real-time vehicle data and orchestrating remote fleet updates using Go, Kubernetes, and Kafka.
Role summary Data Engineer I is responsible for designing and developing modern, data-centric applications that support clinical and operational workflows across the healthcare system. These solutions leverage cloud…
beehiiv is the all-in-one newsletter and creator platform powering the next generation of media companies and independent voices. We help creators and businesses launch, grow, and monetize newsletters—now serving tens…
Builds and scales the backend distributed services powering Arize AI's AI/LLM observability and evaluation platform — high-volume analytics systems, APIs for ML/LLM workflows, and OLAP/streaming infrastructure. Work is primarily in Go, with Python, Java, and TypeScript.
We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies. As a Principal Software Engineer at JPMorganChase within the…
You will lead infrastructure engineers and set technical direction for cloud, networking, storage, compute, and security systems. You will build and operate Kubernetes clusters, geo-deployment architecture, edge…
Senior Staff Software Engineer on Sentry's Platform org, reporting to the VP of Engineering: architects scalable technical blueprints, leads cross-cutting platform initiatives end-to-end (cloud infra, streaming, storage, deployment, security), and mentors engineers while reviewing major architecture proposals. Core stack includes Kubernetes, Terraform, Kafka/streaming, and OLAP/OLTP data stores.
The Learning Team at ClickHouse is growing fast as more and more users discover the power of ClickHouse and need to understand how to use it effectively. As part of that growth, we want to expand our certification…
Site Reliability Engineer at Pulsar (Hong Kong) who owns the data and observability platform end to end: building Grafana dashboards and alerts, operating Kubernetes (EKS) streaming workloads and AWS infrastructure via Terraform, CI/CD and GitOps, and maintaining near-real-time telemetry pipelines, data-quality checks, OLAP tables, and SQL analytics.
Data Engineer designing and maintaining data pipelines, ETL/ELT processes, and a modern data warehouse (DWH) for a large entertainment-industry tech company serving 100M+ users worldwide. Core stack is SQL and Python, with Airflow, dbt, Spark, ClickHouse and similar tools as pluses.
Designs and builds a petabyte-scale, distributed cloud file system in AWS to back up billions of files daily, using S3, DynamoDB, and Kinesis while ensuring metadata consistency and cost efficiency.
Data Engineer at Bureau (a fraud/risk decisioning platform) in Bangalore, building batch and streaming data pipelines, backend REST APIs, Airflow DAGs, and Spark/SQL transformations over a data lake. Core stack includes Python/Java/Scala, Spark, Kafka, Airflow, and AWS.
Solutions Architect at Databricks working in Field Engineering to help customers design scalable data architectures using the Databricks Lakehouse platform. Partners with Sales on account strategies, builds reference architectures and demos, consults on big data engineering, data pipelines, and ML projects using Spark, Delta Lake, and MLflow.
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