Top Data Engineer Jobs

The Sr. Principal, Value CoE Data Analytics role involves capturing and analyzing customer data to provide actionable insights for value-driven sales strategies. Responsibilities include managing benchmarking databases, analyzing performance data, and collaborating with product teams to integrate telemetry data into business processes.

The Staff Engineer, Data Analyst will engage in data modeling, dashboard creation, and report generation using Power BI and SQL. The role requires a strong understanding of cloud services and databases and is suitable for candidates with significant IT industry experience.

The role involves designing, developing, and implementing data management projects, coordinating with internal teams, and ensuring compliance with company standards. Responsibilities also include project reporting, technical documentation, and issue resolution related to mainframe systems and Visual Basic programs.

The Marketing and Sales Power BI Analyst will support the North American marketing and sales team by developing reporting capabilities within Power BI. Responsibilities include creating dashboards, transforming data, and ensuring data quality from systems like Salesforce. The role involves identifying trends and insights to improve business performance and requires collaboration with various stakeholders.

The Lead Cloud DBA will design, implement, and maintain various database systems such as MySQL, Redshift, and DynamoDB in AWS environments, ensure optimal performance, and lead a team of database administrators. Responsibilities include database sharding, backup strategies, and collaborating with cross-functional teams.

The Senior Data Engineer & Analyst will design and productionize complex data pipelines, develop data ingestion modules, build AI models, and apply CI/CD practices to ensure code readiness. Collaborating in an Agile environment, the role focuses on enhancing hotel revenue and minimizing operating costs through scalable data solutions.

The Data Scientist will utilize machine learning techniques and statistical concepts to derive business value from data. Responsibilities include data preprocessing, feature engineering, communicating with clients, participating in business development activities, and mentoring team members to enhance expertise and drive measurable business impact.