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Build and optimize Databricks-based data platforms and pipelines for Fortune 1000 clients, leveraging Spark, Delta Lake, and multi-cloud (AWS/Azure/GCP) to deliver scalable analytics and insights.
Technical Support & Data Operations Engineer As a Technical Support & Data Operations Engineer, you’ll bridge the gap between our Customer Experience and Core Engineering teams. Your primary mission is product…
Lead the data team and architect scalable pipelines for Yuno’s cross-border payments platform, ensuring data quality, observability, and governance while mentoring engineers.
Lead AI and data projects, designing modern architectures and collaborating with business teams to build data-driven applications using Python, ML, GenAI, and AWS.
Builds batch and near-real-time data pipelines in PySpark on Databricks, designs Delta Lake schemas, and collaborates with product/QA to deliver reliable data products.
Build and maintain a customer identity data pipeline for a large European ecommerce platform using BigQuery, Python, Airflow, and Splink to unify customer records across multiple verticals.
Lead the design and optimization of data pipelines and AI platforms on GCP, using BigQuery, Dataform, and Cloud Run to build scalable ELT workflows and maintain high-performance data products.
Build and optimize Power BI analytical solutions and semantic models using DAX, SQL, and end-to-end data pipelines for KPI reporting.
Design and implement healthcare data interoperability solutions, ensuring compliance and aligning clinical and technical teams for research projects.
Build and maintain data pipelines, manage SingleStore databases, and support developers in a lakehouse environment.
Senior Data Engineer designs and builds scalable data platforms, lakehouse architectures, and ETL/ELT pipelines while collaborating with ML/AI teams to enable AI-ready data workflows.
Build a cloud-based healthcare data platform from scratch using Databricks, Azure Data Factory, PySpark and event-driven architectures to enable near real-time analytics and business insights.
Build a healthcare data platform using Databricks, PySpark, SQL and Azure, creating pipelines, models and dashboards that turn raw data into real-time analytics and business insights.
Design and implement scalable data-ingestion and transformation services using Java/Python and SQL, ensuring data quality and observability in a DevOps-driven environment.
Diamond Foundry Inc. is solving the thermal limitation at the foundation of today’s most exciting tech industries – AI & cloud compute, electric-car power electronics, and 5G/6G wireless. We have managed to produce…
Builds and optimizes real-time data pipelines and ClickHouse infrastructure for a scalable analytics warehouse and feature-serving layer in a multi-tenant environment.
Roche Diagnostics Solutions is seeking a Data and Automation Engineer to drive data modernization and automation across global R&D and enterprise systems. You will bridge data engineering with business processes,…
Designs and builds BI solutions and cloud-based data pipelines for trading and risk analytics in a regulated financial environment.
Build streaming and batch data pipelines, govern schemas, and create self-serve tools for trading, wealth, and product teams using a lakehouse and time-series architecture.
Leads real-time data pipeline engineering using Kafka and GCP to build low-latency systems for MoonPay’s fintech platform.
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