Top Senior Level Data & Analytics Jobs in Rochester, NY

Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.

The Senior Software Engineer role entails developing web applications and APIs within an Agile Scrum team. Responsibilities include collaborating on new features, solving technical problems, mentoring colleagues, and leading technical projects while adhering to coding standards and best practices.

The Senior Data Engineer will lead the development of high-impact products, collaborate with Finance and Accounting teams, and take ownership of data services lifecycle. Responsibilities include architecting data models, resolving data integrity issues, and ensuring data solutions align with business needs.

The Senior Information Security Analyst prepares and facilitates security examinations, collaborates with the Information Security, Risk, & Compliance team, identifies business risks, manages vendor security assessments, and enhances security awareness across the organization.

As a Data Analytics Manager at Doximity, you will work with cross-functional teams to discover data insights and improve healthcare. Responsibilities include identifying behavioral patterns, leading data projects, and managing Data Analysts for growth and success.

As a Data Engineering and Analytics Manager at Spark, you'll lead the data team, overseeing data engineering, analytics, and infrastructure projects. Your role involves managing and mentoring team members, building scalable data solutions in GCP, transforming messy data into structured formats, and creating dashboards for data-driven decision-making.

As a Data Scientist at Roblox, you will analyze large datasets to drive insights for internal operations, supporting major decision-making processes and improving efficiency. You will develop data pipelines, manage analytics tools, and collaborate with teams to identify key metrics. Your role involves transforming data and prototyping cloud-based analytical solutions.