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Your new company Our client is a company based in Hobart looking for an experienced Data Engineer. Your new role We are seeking an experienced Data Engineer (AWS) to design, build, and maintain scalable data pipelines…
Build and optimize AI infrastructure performance monitoring tools, ensuring high availability and observability for CoreWeave’s cloud platform.
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting…
Build and optimize Cato’s petabyte-scale data lakehouse: design schemas, tune Spark jobs, and run ClickHouse/EMR to serve low-latency analytics for the entire company.
Designs and maintains scalable data pipelines, warehouses, and lakehouse architectures using tools like Dagster, ClickHouse, dbt, and Apache Iceberg to ensure reliable, high-quality data for analytics and AI-driven insights.
Lead architecture and technical initiatives for Tempo, an open-source distributed tracing backend written in Go, handling ingestion, storage, and query engines at scale.
Staff Backend Engineer on Grafana's Tempo distributed tracing team, setting technical direction for scaling observability infrastructure, designing agent-friendly APIs, and driving operational excellence as Tempo evolves from SaaS database into a platform. Remote role in US/Canada with Go, distributed systems, and production ownership at scale.
Builds and maintains data pipelines and products in a hybrid cloud environment (AWS/GCP) to power analytics across The New York Times, using Python, SQL, PySpark, and dbt.
The Data Engineer will develop and maintain ETL/ELT pipelines, manage data in Amazon S3 and Redshift, and implement business logic using Python, SQL, and various data integration tools. The role involves working within an agile team to support data infrastructure, code quality, and system deployments.
Responsibilities Extract Revit and IFC model data—properties, parameters, type/instance data, and relationships—using Autodesk Platform Services APIs Transform extracted model data into structured, analysis-ready…
Backend Software Engineer II designing and maintaining high-throughput, low-latency distributed systems for Abnormal’s Federated Intelligence Platform, focusing on data ingestion, storage, and retrieval of threat indicators to power security detection and customer portals.
The Data Engineer will design and maintain scalable ETL/ELT pipelines and data transformation workflows using Microsoft Fabric and PySpark. The role involves working with large-scale datasets to support enterprise analytics and business intelligence initiatives.
Build scalable backend systems, APIs, data pipelines, and cloud infrastructure for a spatial intelligence platform that provides indoor positioning and inventory visibility for retailers. Core tech stack: Python, FastAPI, Postgres, Kubernetes, Azure, PyTorch.
Principal Software Engineer builds and scales Fivetran’s Managed Data Lake, designing high-performance pipelines in Java/C++ and cloud infrastructure to move and transform customer data reliably.
Build and maintain a self-service data platform for a biotech AI startup, enabling researchers to securely access and process large multimodal biological datasets using cloud infrastructure and modern data tools.
The Microsoft Fabric Data Engineer will design, develop, and maintain scalable data pipelines and analytics solutions. The role involves working with data ingestion, transformation, and conversational analytics tools to support organizational data requirements.
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9…
This role involves extracting, integrating, and analyzing large-scale customs data to support risk assessment and reporting. The analyst will use Python, SQL, and Power BI to build predictive models, create dashboards, and optimize data workflows within the European Commission's analytical environments.
As a Data Engineer at a.s.r. (Loyalis), you will design, build, and maintain data pipelines and models within a Microsoft Azure environment. You will work in a DevOps team to improve data quality and reporting solutions to support a data-driven organization.
The DataOS team at AppsFlyer builds and maintains a high-scale data platform processing over 150 billion events daily using technologies like Spark, Kafka, and AWS. Engineers in this role design data pipelines, manage schema and storage, and ensure the reliability of production-grade data systems.
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