Top Hybrid Data Engineer Jobs
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As a Senior Data Engineer, you will design and maintain data infrastructure for Square's Marketing team, focusing on web event data. Responsibilities include building data pipelines, translating requirements for ETL processes, analyzing data sources, monitoring pipeline performance, and improving data quality and efficiency. Your work will significantly influence business decisions and reporting accuracy.
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As an Analytics Feature Engineer, you'll work with data scientists to preprocess, transform, and create features from raw data for machine learning models. You'll monitor feature performance, optimize data pipelines, and ensure data quality using tools like Airflow and Databricks, while collaborating across teams.
As a Senior Data Analytics Engineer, you will collaborate with various stakeholders to design and maintain data models, automate requests, and deliver BI-ready datasets. This role involves ensuring data quality, building dashboards and reports, and implementing best practices in a hybrid work environment.
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The Operations Support Agent will review and upload documents to client accounts, perform data entry, and ensure the protection of sensitive client information. This entry-point position provides an opportunity for growth within the company while collaborating with various departments.
The Staff Data Engineer will design, develop, and deploy data engineering solutions, collaborating with cross-functional teams and driving the adoption of cloud-based technologies. Responsibilities include optimizing data pipelines, validating data products, and leading the implementation of data solutions for analytics and strategic initiatives.
The Sr. Data Engineer will design and build scalable data pipelines across various sources to support data-driven decisions and generative AI initiatives. Responsibilities include collaborating with cross-functional teams, implementing data engineering principles, and optimizing performance and security of data applications.
As a Senior Data Engineer, you will focus on building data infrastructure, managing ETL pipelines, collaborating with analysts, maintaining databases, and implementing process improvements. You will lead the development of data services and stay updated with cloud technologies to enhance data handling across the company.
As a Part-Time Student Data Analytics at John Deere, you will explore analytical problems, develop solutions using data, create dynamic visualizations, maintain data integrity in SAP, and communicate findings to stakeholders.
The ServiceNow Data Architect is responsible for establishing data architecture standards, ensuring the quality and usability of the ITSM CMDB, defining the Common Services Data Model standard, and managing configuration management policies and processes. This role involves collaboration with stakeholders to align product demand with data requirements and maintaining the CMDB maturity roadmap.
The Director of Data Strategy and Analytics will lead the strategy and analytics function to empower Sales, Marketing, and Customer Success by developing data-driven insights and performance management systems. Responsibilities include building analytics capabilities, managing a team of analysts, and conducting complex analyses for strategic decision-making.
Top hybrid Companies Hiring Data + Analytics Roles
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