Top Remote Senior Level Data & Analytics Jobs in Rochester, NY

The Lead Data Engineer will analyze complex datasets and develop predictive models to drive business decisions. Responsibilities include designing statistical models, recommending technologies, mentoring engineers, and implementing large enterprise data solutions in an Agile environment.

The GCP Data Engineer will design and maintain large-scale data infrastructure, migrate data from Teradata to GCP, develop data pipelines, and optimize data processing for analytics and applications. Responsibilities include collaborating with teams, ensuring data quality, implementing security measures, and documenting processes.

The GCP Data Engineer will design, build, and maintain large-scale data infrastructure, optimizing data processing, ensuring data quality, and collaborating with cross-functional teams to implement scalable solutions for analytics and business intelligence.

The Principal Data Engineer will design, develop, and maintain ETL pipelines for data acquisition and transformation. Responsibilities include collaborating with teams to understand data needs, utilizing AWS Glue, optimizing ETL processes, and applying data governance practices. The role requires strong technical skills in Python, Spark, and SQL, along with experience in data matching and analytics.