Senior Data EngineerAs a Senior Data Engineer on DAPI's Tetris team, you will own the design and delivery of complex data engineering solutions that power NYBCe's enterprise analytics, AI, and reporting capabilities. Reporting to the Lead Data Engineer, you will drive technical decisions, set engineering standards, and ensure the reliability and scalability of DAPI's data platform across 49+ integrated enterprise source systems.This role demands deep technical mastery in SQL, Python, and Azure cloud data engineering, combined with a product orientation—understanding how the data assets you build translate into decisions, reports, and AI outputs for the business. You will mentor Data Engineers, contribute to architectural direction, and serve as a technical anchor for delivery across the Tetris team's sprint cycles.Advanced Pipeline Development & OwnershipArchitect, build, and own complex data pipelines for high-volume, high criticality workstreams across NYBCe's enterprise data platform.Lead the design and implementation of ELT/ETL frameworks using SQL, Python, Azure Data Factory, Databricks, and Azure Synapse Analytics.Establish pipeline reliability standards—monitoring, alerting, error handling, and recovery protocols—and ensure adherence across the team.Data Architecture & Platform EvolutionDrive the design of scalable data models supporting dimensional warehousing, data lake architectures on Azure.Contribute to architectural decisions on data storage, partitioning, compute optimization, and consumption layer design.Lead migrations from legacy data solutions to modern cloud-native platforms, managing risk and business continuity throughout.AI & Analytics EnablementDesign and deliver feature pipelines and data preparation frameworks that support machine learning model development and deployment.Partner with Data Scientists to translate model requirements into production-grade data assets and feature stores.Collaborate with Analytics Engineers to ensure data models are optimized for analytical consumption and reporting performance.Data Quality & Governance LeadershipDefine and implement data quality frameworks—validation rules, SLAs, anomaly detection, and automated testing for pipeline outputs.Lead data governance initiatives including metadata management, lineage tracking, data cataloging (Microsoft Purview), and access control.Ensure platform compliance with HIPAA, NYBCe data policies, and applicable regulatory requirements.Mentorship & Technical LeadershipMentor Data Engineers—providing code reviews, technical guidance, and architectural feedback that elevates team capability.Contribute to DAPI's engineering standards, reusable frameworks, and technical documentation.Participate in Agile ceremonies and model strong engineering discipline—clear DevOps hygiene, sprint commitment, and delivery accountability.Founded in 1964, New York Blood Center (NYBC) has served the tri-state area for more than 60 years, delivering 500,000 lifesaving blood products annually to 150+ hospitals, EMS and healthcare partners.
NYBC is part of New York Blood Center Enterprises (NYBCe), which spans 17+ states and delivers one million blood products to 400+ U.S. hospitals annually. NYBCe additionally delivers cellular therapies, specialty pharmacy, and medical services to 200+ research, academic and biopharmaceutical organizations.
NYBCe's Lindsley F. Kimball Research Institute is a leader in hematology and transfusion medicine research, dedicated to the study, prevention, treatment and cure of bloodborne and blood-related diseases. NYBC serves as a vital community lifeline dedicated to helping patients and advancing global public health.
To learn more, visit nybc.org.