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Builds Python backend services and React frontends that connect to Databricks SQL and Delta Lake, writing ETL pipelines with PySpark and optimizing cloud costs on Azure/AWS.
Builds and configures a government Databricks workspace, designs data pipelines from enterprise systems, and implements Unity Catalog and MLflow for governance and ML workflows.
Lead the build and maintenance of a trade execution platform using Python/Java, Kafka, AWS, Databricks, and SQL/NoSQL, collaborating with front-office teams to deliver mission-critical software.
Build and maintain scalable data pipelines and warehousing solutions using Databricks, Spark, and AWS tools to support HR analytics and business intelligence at a global financial firm.
Principal Solution Architect defines enterprise data and AI architectures for Guardian’s Group Benefits systems, setting standards and reusable patterns to scale underwriting, billing, claims, and analytics while ensuring governance and compliance.
Design and govern enterprise-scale AI-ready data platforms using Azure Databricks, Snowflake, and Delta Lake to enable analytics, GenAI, and ML workloads.
Designs and governs enterprise-scale data platforms using Azure Databricks, Snowflake, and Lakehouse architecture to enable AI, analytics, and GenAI workloads.
Build and optimize cloud-native data platforms using Microsoft Fabric, Azure Synapse, and Python to power scalable analytics and data pipelines for a product-focused company.
Principal Data Engineer designs and scales GoTo’s Databricks Lakehouse (Unity Catalog, Delta Lake, Spark), sets data-pipeline standards, and leads AI-ready infrastructure and migrations.
Build and maintain scalable data pipelines in Azure (Databricks, ADF) using Scala, Python, and SQL; design enterprise data warehouses and optimize ETL/ELT workflows for insurance and healthcare analytics.
We anticipate the application window for this opening will close on - 17 Aug 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore…
Lead a team building cloud-native, multi-cloud data platforms for GM’s connected services, marketing, and AI products using Databricks, Spark, and real-time streaming.
Senior Data Scientist builds predictive models and analytics pipelines for connected medical devices, improving service reliability and patient outcomes using Python, Spark, and cloud platforms.
Build AI-driven analytics and predictive models for connected medical devices to improve service reliability and patient outcomes, using Python, Spark, and cloud platforms.
Design and lead enterprise-scale data platforms, pipelines, and ML solutions for clients, using cloud-native tools and modern architectures like Lakehouse and Data Mesh.
Design and build scalable, cloud-native data pipelines and architectures using AWS, GCP, Azure, Snowflake, or Databricks to power real-time and batch analytics for enterprise AI solutions.
Design and build cloud-based data pipelines and warehouses for T-Mobile’s Finance domain using Azure, Databricks, dbt, and Python to enable analytics, reporting, and compliance.
Delivery of complex data engineering projects across industries Leading small delivery teams Management of customer relationships alone or with a Project Manager Supporting pre-sales process Mentoring more junior…
Designs and governs enterprise-scale Azure and Databricks Lakehouse platforms, setting standards for data, AI, and analytics workloads while mentoring teams and advising clients.
Design and optimize Databricks-based data platforms for federal government clients, building scalable ETL pipelines, governance frameworks, and secure API integrations using tools like Unity Catalog and Mulesoft.
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