Top Remote Senior Level Data Engineer Jobs in Rochester, NY

The Senior Analytics Engineer will develop scalable analytics to track growth marketing performance, create predictive models to optimize patient enrollment and retention, and design A/B tests for marketing strategies. Responsibilities include integrating marketing channels, building self-service data tools for marketing insights, and collaborating with various teams to support Wellth's analytics goals.

The VP of Data Analytics at Rush Street Interactive will lead the data analytics function, drive strategic data-driven decisions, mentor a team of analysts, and enhance business intelligence through advanced analytics. Responsibilities include managing large data sets, developing analytics models, and collaborating with key stakeholders to deliver insights for operational efficiency and business growth.

The Data and Integrations Consultant will lead the delivery of integration services by providing guidance and support to customers, ensuring seamless data flow between their CRM and ERP systems and AcuityMD's platform. Responsibilities include troubleshooting, maintaining integrations, and collaborating with internal teams to develop tailored solutions while identifying opportunities for upselling consulting services.

As a Staff Machine Learning Engineer, you will enhance Lime’s demand forecasting and positioning algorithms, execute a multi-year ML strategy, and work collaboratively across teams. Your role includes coaching engineers and data scientists while tackling complex ML challenges.

The Senior Data Engineer at OneSignal will design, build, and maintain data systems to ensure reliable data access across various business functions including sales, marketing, and operations. Responsibilities include connecting data sources, improving data flows, creating ETLs, and implementing data validation processes.

The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.

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.