Top Remote Senior Level Data Engineer Jobs in Rochester, NY

Design and implement enterprise-wide data strategies, manage data engineering assets, collaborate with cross-functional teams, ensure data integrity and security, develop data models, and lead data governance initiatives.

Seeking an experienced Senior Analytics Engineer to build and activate company-wide data assets using Snowflake. Responsibilities include data modeling, metrics development, and enabling self-service analytics solutions. Must have 5+ years of relevant industry experience and expertise in SQL, Python, and data engineering tools.

The Freelance Director Level Strategic Consultant will support strategic consulting projects in the healthcare sector, developing and implementing initiatives that drive business growth for clients. This role involves working closely with the team and contributing expertise to overcome complex challenges.

As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.

The Sr. Data Integration Consultant will provide high-quality pre/post-sales consulting, focusing on data integration and discovery projects. Responsibilities include project planning, troubleshooting, implementation, maintaining skills related to Actian products, mentoring, and creating documentation. Candidates must be proficient with various integration tools and database management systems.

The Senior Data Engineer will develop and maintain data frameworks and systems for analytics, focusing on data acquisition, validation, and loading. Responsibilities include building machine learning pipelines, ensuring data quality, and integrating systems with GCP and BigQuery.

As a Staff Analytics Engineer, you will develop high-quality data assets for product and AI/ML use-cases, enhance frameworks for insight generation, and collaborate with cross-functional teams to make informed decisions based on data. You will ensure data quality, influence event logging practices, and provide mentorship to improve data strategy.