Top Senior Level Data Engineer Jobs in Rochester, NY
The Senior Data Engineer will design, develop, and manage scalable data architectures and pipelines, primarily using cloud platforms like Azure. Responsibilities include data integration, modeling, optimization, and mentoring. The role emphasizes collaboration with cross-functional teams to ensure data infrastructure supports analytics and drives decision-making.
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 Machine Learning Engineer at Liftoff will develop and train algorithms for real-time bidding, analyze inventory performance, and oversee experiments for optimization strategies. The role involves enhancing existing ML infrastructure, collaborating with engineering teams on data pipelines, and fostering a culture of engineering excellence.
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The Senior Machine Learning Engineer at Samsara will be responsible for developing ML solutions to enhance the safety, efficiency, and sustainability of physical operations. This remote position requires working closely with engineering teams to deliver core infrastructure and services.
As a Senior Data Engineer at GoodRx, you will design and develop data pipelines using cloud technologies, collaborate with teams to define data specifications, and ensure the integrity of data being processed. You will lead projects, enhance infrastructure, and architect solutions to meet business needs while promoting data standards.
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.
As a Big Data DevOps Lead, you will improve efficiency in Big Data infrastructure, coordinate initiatives across teams, lead architecture design efforts, ensure system reliability, and support operational tools while also providing on-call support.
As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.
As a Senior Analytics Engineer at Spring Health, you will develop and maintain data models using dbt, collaborate with finance and data analysts to define business metrics, ensure data quality and consistency, and create documentation to enhance data access for teams.
As a Sr. Data Engineer, you will develop and optimize ETL pipelines and scalable systems on Google Cloud Platform. Your role involves delivering high-quality solutions, collaborating with cross-functional teams, mentoring junior engineers, and leading initiatives while applying strong analytical skills in an Agile environment.
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