Top Senior Level Data Engineer Jobs in Rochester, NY

The Principal Data Engineer will lead a Data Engineering team responsible for developing and implementing data solutions to enhance the company's data capabilities. This role includes designing and documenting software solutions, mentoring team members, and improving existing systems for increased efficiency and performance.

The Senior Data Analytics Developer at Avetta will transform raw data into insights, model and enhance data pipelines, design dashboards, and communicate findings effectively. The role requires collaboration with product teams and stakeholders to deliver strategic analytics solutions and manage project execution in an agile environment.

As a Senior Data Engineer, you will develop and maintain Underdog’s reporting layer using DBT and BigQuery, collaborating with cross-functional teams to design scalable reporting models. You will ensure data integrity, maintain documentation, assist in analytics dataset development, and manage tasks using Jira while looking for continuous improvements.

As a Senior Azure Data Consultant, you will partner with clients to transition from concept to production by developing data services on Microsoft Azure, designing enterprise data models, and leading discussions on data architecture. You will also assure data quality, optimize performance, and establish DataOps standards while leveraging modern software engineering practices.

Lead Data Engineer will design data models, develop data pipelines, and integrate Palantir Foundry with external systems. The role requires hands-on experience with data integration and application development, using tools like Python and SQL, while also providing guidance to developers and collaborating with stakeholders.

The Data Engineer III is responsible for architecting, building, and maintaining scalable tooling and infrastructure for data management. Key tasks include constructing automated data pipelines, managing data storage, and performing data analysis and troubleshooting. Collaboration with Data Scientists and Business Analysts is essential to enhance data models for informed decision-making, alongside monitoring data quality and supporting data infrastructure needs.

The Head of Data will shape the data strategy at Gemini, build a high-performance data team, manage data infrastructure, optimize data warehousing, and drive data-driven initiatives across the organization. Responsibilities include overseeing data management, analytics, and collaborating with executive leadership on data integration into business strategies.