Top Senior Level Data Engineer Jobs in Rochester, NY

Seeking a highly experienced Senior Data Engineer to develop and maintain the data architecture of an AI-powered platform for clinical-stage biotech companies. Remote position with significant overlap with Los Angeles working hours.

As a Senior Data Engineer at Bluesight, you will design and maintain robust data architectures, facilitate effective data stewardship, and develop customer-facing data products. You'll work closely with engineering teams, product owners, and external clients to create and enhance data pipelines and governance practices, ensuring optimal purchasing decisions for hospital buyers.

The Staff Machine Learning Engineer will develop and fine-tune machine learning models, apply statistical techniques to analyze unstructured data, utilize pre-trained language models, optimize models for production, monitor performance, and work with teams to enhance product features and solutions.

As Associate Director of Data Strategy, you will manage multi-channel data and predictive analytics projects, helping clients maximize data utility through solutions tailored to their marketing needs. You will lead a team of Data Strategy Managers and guide clients in building comprehensive data models to enhance measurement and performance.

The role involves architecting, building, and maintaining reliable data pipelines, developing data applications in Python and SQL, ensuring data quality, and optimizing software engineering techniques while collaborating with IT and business teams.

As a Senior Data Engineer, you will collaborate with clients to design and maintain advanced data platforms, develop real-time data processing systems, and create documentation and training materials. Your role includes building ETL pipelines, data warehouses, and RESTful microservices primarily using cloud services while ensuring effective communication of complex concepts to technical and non-technical stakeholders.

GOBankingRates is seeking a seasoned Principal Data Engineer to lead and broaden their Data Platform initiatives, translating business requirements into technology requirements, and defining data standards and principles. The role involves overseeing the development and maintenance of their Enterprise Data Platform, including a Serverless Data Lake and Cloud Data Warehouse.