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Azure Databricks Architect Healthcare Payer
Architects and leads large-scale Enterprise Data Warehouse to Azure Databricks migration programs for healthcare payer organizations, combining deep Azure/Databricks technical expertise with data engineering and stakeholder management.
Data Observability & Platform Architect
Senior architect responsible for designing and implementing a unified monitoring and observability framework across enterprise data platforms including Microsoft Fabric, Power BI, Databricks, Snowflake, Azure, AWS, and SAP.
Senior Data Engineer
Design and build scalable data pipelines and AI solutions for enterprise clients using cloud platforms like Snowflake, AWS, and Databricks.
Senior Performance Marketing Manager
About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across…
Strategic Sales Development Representative, London (SDR)
About Monte Carlo Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents…
Data Architect
Design and scale a secure, compliant data platform for a deep-tech manufacturer, using Microsoft Fabric and Azure to unify R&D, manufacturing, and business analytics.
Senior Machine Learning Engineer
Build and deploy production-grade ML models and MLOps pipelines for a credit union, using Python, PyTorch/TensorFlow, Azure ML, Databricks, and MLflow to drive automation and decision-making.
Data Engineer
Designs and maintains data infrastructure for federal government clients, building scalable pipelines and integrating ML models using Python, AWS, and tools like Apache Airflow and Spark.
Científico de Datos / ML Engineer – Data Platform en la Nube
Desarrolla y escala plataformas de datos en la nube usando ML en Databricks sobre AWS, con pipelines en tiempo real y detección de anomalías.
Senior Data & Analytics Engineer - Real‑Time Healthcare (Azure)
You will design and implement scalable data solutions using Databricks, PySpark, SQL, and Azure technologies for a healthcare data platform, transforming raw data into actionable dashboards and data products.
Real-Time Data Platform Engineer (Azure/Databricks)
A senior data platform engineer designs and implements scalable end-to-end data solutions for healthcare analytics using Databricks, PySpark, and SQL on Azure, building real-time and batch pipelines and creating actionable dashboards.
Data Scientist II - Políticas de Crédito
Develop credit strategies and policies using SAS, SQL, and Databricks to manage risk and delinquency. Work involves reporting, data treatment, and implementing solutions for a bank's credit area.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines, cloud infrastructure, and data models for a healthcare platform, using Python, SQL, and Azure to support analytics and business needs.
AI Data Engineer
Senior AI Data Engineer building ETL pipelines, data warehouses, and AI/ML infrastructure using Python, SQL, Spark, cloud platforms (AWS/Azure/GCP), and Generative AI technologies like LLMs, RAG, and vector databases.
Manager, Forward Deployed Engineering
(REQ ID: CSQ427R209) Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of…
Senior Solutions Architect - Digital Natives
Senior Solutions Architect at Databricks in Stockholm designs and advises on data analytics architectures using the Lakehouse Platform, engaging with Nordic startups and digital-native customers to solve complex data challenges.
Senior Solutions Architect
Senior Solutions Architect at Databricks in Stockholm advises enterprise clients on data and AI platform strategies, leading technical engagements and driving adoption of the Databricks platform.
Pleno Data Engineer Azure (híbrido SP)
Works as a Data Engineer building and maintaining data pipelines in Azure and Databricks environments, collaborating with business areas to ensure data quality, security, and governance. Core technologies include Azure, Databricks, SQL, and Python.