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Sr Director, Enterprise Data & Analytics
About the Role We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be…
Commercial Customer Success Manager - SF
We're looking for a Customer Success Manager with a deep understanding of analytics and business intelligence to join our team. This role is critical for ensuring our customers maximize the value they derive from…
Gainsight Platform Engineer
Design, develop, and scale integrations, data pipelines, and platform extensions within a Gainsight NXT-based Customer Success ecosystem, leveraging Azure, Databricks, Python/Java, and CRM platforms in a hybrid contract role.
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.
Full-Stack Python/React Developer
Build and maintain full-stack web applications using React/JavaScript/TypeScript for the frontend and Python for backend services, with real-time data processing and CI/CD pipelines.
Supply Chain Analyst
Analyze protein supply chains for a meat/seafood e-commerce company, building dashboards and models to track costs, yields, and inventory while partnering with procurement teams.
Sr. Data Engineer
Design and implement AI features end-to-end, building scalable data pipelines and GenAI/agentic systems in Python/SQL across cloud platforms while enforcing security and MLOps best practices.
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.
ISV Partnerships Manager
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our…
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.
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.
Senior Databricks Data Engineer — Azure Spark & Pipelines
Designs, develops, and maintains scalable data pipelines on Azure Databricks using Spark/PySpark, collaborating with data scientists and engineers to deliver clean datasets for analytics in a banking-regulated environment.