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Builds and maintains end-to-end data pipelines and warehouses using Azure or GCP stacks, focusing on Spark/Scala and CI/CD automation.
Our Mission 01Health is at an inflection point. The platform is built, revenue is accelerating, and we are moving from a single-specialty company to a multi-vertical specialist healthcare platform - with AI as embedded…
Google AI Architect designing and implementing advanced AI/ML and GenAI solutions on Google Cloud Platform, leveraging Vertex AI, Gemini Enterprise, BigQuery, GKE, and Cloud Run with multi-agent orchestration.
The Mission AtScale is the semantic layer for modern data and AI. We bridge the gap between complex cloud data platforms—like Snowflake, Databricks, and Google BigQuery—and the business users who need consistent,…
Senior consultant designs GA4-based measurement frameworks, analyzes user behavior end-to-end, and builds executive dashboards to turn raw data into actionable business insights.
🚀 En Cobser Consulting estamos buscando un/a Salesforce Marketing Cloud & Data Cloud Senior Engineer para incorporarse a un proyecto internacional estable dentro de una compañía referente en Customer Experience y…
Designs and maintains scalable data pipelines on Google Cloud Platform, focusing on ETL processes, serverless apps, and BI dashboards using Airflow, BigQuery, and Python.
Builds and optimizes data pipelines for media/advertising clients using SQL, BigQuery, and DBT, while creating custom Power BI dashboards for cloud-based analytics.
Build and maintain AI-powered data pipelines for healthcare AI systems, ensuring data quality, privacy, and scalability using Python, Dagster, BigQuery, and GCP.
Design and ship AI-driven systems end-to-end: scope problems, architect solutions, and build the first working version using Python, SQL, and cloud data platforms like Snowflake and BigQuery.
Thesalaryrange for this position is $100,000 to $120,000. Final compensation will be determined based on relevant skills, experience, qualifications, and internal equity. In addition to base salary, eligible employees…
At Stingray, creativity, collaboration, andcutting-edgetechnology are the pillars of our DNA. Are you ready to watch your career take off by joining a fast-growing company with a team of tech-savvy music lovers and a…
The Senior GCP Data Engineer will design and optimize large-scale data platforms and cloud-native solutions using PySpark, Python, BigQuery, and Kafka. The role focuses on building scalable ETL/ELT pipelines and real-time data processing frameworks within an enterprise environment.
Design and build scalable GCP data pipelines using PySpark, BigQuery, Kafka, and Airflow to process batch and real-time data for analytics and BI.
Designs and operates scalable, secure GCP data pipelines using BigQuery and Dataflow to transform raw data into business insights.
Designs and builds secure, scalable data pipelines on GCP to process real-time and batch data, turning raw data into actionable insights.
Designs, builds, secures, and monitors real-time ELT systems on GCP to transform raw data into actionable business insights for decision-making.
Lead a small senior team to build and maintain WeRoad’s BigQuery warehouse, dbt transformations, and data pipelines while driving AI-driven improvements and governance.
Designs and builds scalable, secure real-time data pipelines on GCP, transforming raw data into actionable insights using Java/Scala/Python and BigQuery.
Lead a small data engineering team to design, build, and scale WeRoad’s cloud-based data platform (BigQuery, dbt, Airflow) for travel experiences, focusing on real-time pipelines, self-service BI, and AI-driven insights across global markets.
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