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Les données de santé sont complexes, hétérogènes, confidentielles, réglementées — et chaque hôpital a ses propres systèmes. La nouvelle stack data de Sancare est en production : solide, mais perfectible. Vous êtes la…
Analytics Engineer at ABOUT YOU in Hamburg owns supply-chain data end to end: building reusable data-mart tables, developing and monitoring Python + GCP pipelines, documenting schemas, lineage and data contracts, and mentoring junior analysts so supply teams (pricing, demand planning, inventory) work from a single source of truth.
Build and maintain data pipelines and reusable mart tables to support supply chain decision-making. You will use Python, SQL, and GCP to transform messy operational data into governed analytics layers while mentoring junior team members and managing platform health.
Data engineer at PubteX (an AI supply-chain venture for Japan's publishing industry) who designs, builds, and operates the data platform powering data use across web apps, planning systems, and ML — refreshing existing systems and extending the platform for new clients, mainly on GCP (BigQuery, Airflow/Composer, dbt) with Python, Rust, and TypeScript.
QA Engineer at PubteX's AI supply-chain division, ensuring the quality of its publishing-industry SaaS: planning and running system tests, improving development/test processes, analyzing quality metrics, and editing user manuals, on a GCP stack with Python, TypeScript, Airflow, dbt, and Terraform.
Senior Data Platform Engineer Platform, Data Engineering & Analytics About Arukah Arukah builds technology that connects biochar and biogas operations to measurable climate impact. Our systems bring together…
Staff Data Engineer who designs, builds, and maintains scalable ETL pipelines, data models, and cloud data infrastructure powering Chamber's cardiology health-tech products. Core stack includes SQL, Python, modern data warehouses (Snowflake/BigQuery/Redshift), orchestration tools (Airflow, Temporal, etc.), and AWS, with a focus on HIPAA-compliant healthcare data.
Leads the architecture and scaling of a healthcare data platform that ingests and processes clinical data for millions of patients, using cloud-native tools and modern data stacks.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
MANTECH seeks a motivated, career and customer-oriented Lead Data Engineer to join our Enterprise Data, AI, and Automation team in Herndon, VA. This is a hybrid position, requiring 2-3 days a week onsite. In this…
Capital One Shopping Tech, Data Engineer 5 (Remote- Eligible) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and…
Risepoint is an education technology company that helps regional universities launch and grow online programs for modern learners. Risepoint supports more than 100 universities and colleges across five countries, with…
POSITION SUMMARY The Senior Data Engineer is the technical leader for IGEN's Data Foundation — architecting, building, and operating the Snowflake data platform, Azure-native ingestion infrastructure, and governed…
Senior full-stack engineer keeping a live hiring-events platform running: triaging production incidents, meeting SLAs, monitoring dashboards, and shipping features across Java/Spring Boot, Python/Django, and React, with Kafka, GraphQL, and data-lake tooling. Fully remote in LATAM, aligned to North American business hours.
Owns the end-to-end autonomy data pipeline for drone flight data: recovering logs from vehicles in the field, decoding and time-aligning multi-sensor and video streams, and making them searchable and replayable in the cloud. Core stack: Python, SQL/PostgreSQL, cloud object storage/compute (Azure/AWS/GCP), and batch orchestration.
Data Engineer on OpenAI's Statsig core experimentation team, building the data pipelines and canonical tables that power product analytics, experimentation, and business decisions. Day-to-day is data-warehouse/ETL engineering with Python, Scala, or Java, Spark, and distributed processing (Hadoop, Flink); hybrid role based in Bellevue, WA.
Owns WorkOS's internal data platform end to end: ingestion and orchestration pipelines, the Snowflake warehouse, dbt models, access governance, and reverse-ETL to Salesforce/Slack, while making trusted data usable by people and AI agents. Core stack: Snowflake, dbt, Python, Terraform, AWS, Kubernetes.
Founding member of a new 'Hardware Tools & Flows' team building an automated tool stack and hyper-fast, resilient build system for Imagination Technologies' GPU & AI hardware teams, optimizing tool use and maximizing simulation workloads on a distributed compute grid.
Intermediate software engineer at Trulioo (San Diego or Vancouver, hybrid) building production-grade agentic AI verification workflows — hardening Vertex AI-based agents, designing evaluations for non-deterministic agent behavior, and building AWS data pipelines that feed the agents. Core stack: Python, SQL/NoSQL, REST APIs, AWS, and big-data tools like PySpark/Airflow.
Senior Data Engineer who designs and owns a petabyte-scale data lakehouse for AI/ML workloads: ingestion pipelines, open table formats, cataloging, governance, and vector database infrastructure serving researchers and production inference. Core tech includes Python, SQL, AWS, lakehouse engines (Iceberg/Delta/Hudi, Spark/Flink/Trino/DuckDB), and vector databases like pgvector or Milvus.
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