Top Hybrid Data Engineer Jobs in NYC
Lead the integration of SAP MDG and BODS for a seamless transition during SAP S/4 transformation. Design and implement SAP MDG and Data Services solutions, ensure data consistency, and collaborate with business users and offshore teams.
Manager role in leading efforts to scale existing data offerings, establish technical strategy for Data Platform, optimize technical ecosystem, and collaborate with engineers and leaders. Requires deep technical knowledge in infrastructure, data, and cloud, with skills in AI/ML, analytics, and troubleshooting.
Seeking a Data Reporting Engineer with experience in BI tools, storytelling with data, big data visualization, and AdTech ecosystem. Must be fluent in SQL, Python, and HTMX.
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As a Data Management Lead for Co-pilot in the Employee Experience team, specializing in data governance, data quality, protection, and compliance. Responsible for guiding cross-functional teams, maintaining data integrity, supporting analytics efforts, and engaging with senior leaders. Represent Co-pilot in all things data to senior management and key stakeholders.
As a Data Engineer, you will work in a fast-paced environment on exciting assignments focused on leading-edge technologies and data management standards. Responsibilities include understanding stakeholders' data needs, mentoring junior engineers, and improving data engineering practices.
Machine Learning Engineer specializing in NLP to join the Responsible AI team at Grammarly. Develop and implement new ML solutions to improve safety and fairness of Grammarly products. Work in small cross-functional teams to leverage ML advances and human-centered design.
Pfizer is seeking a Sr. Director Data Science to lead a team in commercial analytics and data science. Responsibilities include overseeing therapeutic area analytics, driving efficient analytics processes, and implementing data-driven strategies to impact business outcomes.
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Support the development of data pipelines, including data extraction, transformation, and loading to databases. Write clean, high-quality, high-performance code and work with stakeholders to meet project requirements. Develop data integrations, applications, and perform SQL CRUD operations. Understand contractual and legal guidelines for handling sensitive data.
Collaborate with teams to develop, deploy, and maintain data processing pipelines using cloud technologies. Analyze large data sets, identify gaps, and provide data insights to guide business decisions. Architect cloud-based data infrastructure solutions to meet stakeholder needs.
The MDGO Data Governance Technical Data Steward will support enterprise data management tools and integration projects, collaborate with various teams, and provide technical expertise in data governance practices.
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