
Healthcare Insurance • Biotechnology • Medical Device
Siemens Healthineers is a leading MedTech company focused on pioneering breakthroughs in healthcare. They offer a comprehensive portfolio that addresses the entire care continuum for serious diseases, including medical imaging, laboratory diagnostics, point-of-care testing, and digital health solutions. With a commitment to innovation, sustainability, and improving patient access to care, Siemens Healthineers collaborates with healthcare professionals and organizations globally to advance medical technology and enhance patient outcomes.
10,000+ employees
⚕️ Healthcare Insurance
🧬 Biotechnology
💰 $1.5M Grant on 2021-05
September 26

Healthcare Insurance • Biotechnology • Medical Device
Siemens Healthineers is a leading MedTech company focused on pioneering breakthroughs in healthcare. They offer a comprehensive portfolio that addresses the entire care continuum for serious diseases, including medical imaging, laboratory diagnostics, point-of-care testing, and digital health solutions. With a commitment to innovation, sustainability, and improving patient access to care, Siemens Healthineers collaborates with healthcare professionals and organizations globally to advance medical technology and enhance patient outcomes.
10,000+ employees
⚕️ Healthcare Insurance
🧬 Biotechnology
💰 $1.5M Grant on 2021-05
• Design and implement data architectures on Azure Databricks, Snowflake and Azure storage services to support global analytics at scale • Drive the migration from legacy data platforms to modern cloud-native solutions • Address challenges of multi-region, multi-storage account environments to ensure performance, resiliency and cost optimization • Embed data governance, security and compliance frameworks into all designs with focus on EU Data Act and other global regulations • Collaborate with Data Analysts, Business SMEs, Data Scientists and Data Engineers to support the design of data products and services • Establish best practices for data lifecycle management, disaster recovery, and monitoring in Azure • Work closely with Data Engineers and Data Analysts to get the architecture implemented • Provide technical guidance on the adoption of emerging Azure services and features
• Master's degree in computer science, computer engineering, management information systems, related discipline or equivalent experience • Strong expertise with Azure Databricks (Spark, Delta Lake, MLflow) • Strong experience with Snowflake on Azure • Hands-on experience with Azure storage services (ADLS Gen2, Blob Storage) in multi-region setups • Track record of migrating legacy data systems to modern cloud-native platforms • Experience implementing cloud solutions on Azure • Experience working with Container Architectures on Azure • Strong understanding of cloud networking, identity, and security (Azure AD, RBAC, Key Vault, Private Endpoints, VNets) • Experience collaborating with Data Analysts, Business SMEs, Data Scientists and Data Engineers • Snowflake and Databricks experience is a must
• Flexibility and resources to foster professional and personal growth • Professional development opportunities • Inclusive and diverse work environment • Remote work option (#LI-REMOTE) • Equal opportunity employer and accommodations for individuals with disabilities
Apply NowSeptember 26
Senior Data Engineer building and maintaining data infrastructure using GitHub, Kubernetes, and Grafana at SS&C, supporting analytics and reporting.
September 26
Senior Data Engineer building crypto-first data pipelines, ETL, and Solana ingestion for Blockworks' research and news platform.
🇺🇸 United States – Remote
💵 $160k - $200k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
September 26
Lead design and delivery of Databricks lakehouse and data engineering solutions for enterprise clients. Drive technical strategy, presales, and mentor engineering teams at a Databricks-focused consultancy.
September 25
Develop and maintain cloud-native batch and real-time data pipelines for Underdog Sports. Collaborate with analytics, product, and engineering to deliver reliable datasets and monitoring.
September 25
AWS Data Engineer building scalable ETL and data products on AWS for Mactores. Collaborates with analysts and data scientists to ensure data quality and deliverables.