Top Senior Level Data Engineer Jobs in Rochester, NY
The Data Architect at StraighterLine is responsible for developing and maintaining a long-term data strategy to drive business growth, designing data lake/warehouse solutions, integrating systems into a cohesive data architecture, and implementing data governance initiatives. Collaboration with various stakeholders and support for advanced analytics and machine learning initiatives are also key responsibilities.
The Senior Data Integration Engineer will develop data models and processing pipelines for large data sets, utilizing SQL and RESTful APIs. Responsibilities include designing and maintaining ETL processes, integrating data from various sources, and ensuring data quality and integrity.
Responsible for infrastructure and operations of data storage solutions, third-party integrations, data provisioning services, and ETL/ELT code-based solutions. Develop and implement ETL/ELT pipelines, design databases, and optimize queries for web applications. Work collaboratively with data scientists, programmers, and IT teams in a global setting. Preferred experience in Clinical Data and Regulatory Governance in Pharma Industry.
Are you passionate about cutting-edge technology and looking to make a significant impact in the world of Graph Databases and Analytics? Join our dynamic team as a Sr. Technical Product Marketing Manager, where you will play a pivotal role in driving our go-to-market strategy and acting as the technical advocate for our innovative solutions.
The IBM Database Engineer will provide technical support and database/software implementation for Development, Testing, and Sustainment environments related to T-FADS systems. Responsibilities include managing databases, collaborating with teams, resolving technical issues, and influencing design solutions.
The MySQL DBA will manage and optimize MySQL databases, ensuring performance, security, and availability. Responsibilities include installation, monitoring, backups, disaster recovery, and collaboration with developers for query optimization.
The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.
The Senior Advisor - Data Storytelling PM will process and analyze diverse data sources to create performance narratives that inform strategic fundraising decisions. Responsibilities include data analysis and visualization, generating insights from performance metrics, stakeholder engagement, maintaining dashboards, and training teams on analytics best practices.
The Analytics Engineer will build and optimize data infrastructure for business insights, ensuring data accuracy and availability. Responsibilities include maintaining data pipelines in dbt, creating Tableau dashboards, collaborating with teams on data challenges, and training analysts in SQL for data analysis.
The Senior Big Data Engineer will develop batch processing systems, manage data workflows using Oozie and Airflow, and leverage GCP for scalable data solutions. Responsibilities include implementing DevOps practices, engineering solutions at scale, and collaborating in a remote environment.
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