Top Data Engineer Jobs in Caloocan

In this role, you will analyze data to create actionable insights, develop predictive models, and collaborate with stakeholders for data-driven decision making while leading cloud data modernization initiatives.

The Associate Data Engineer at NICE CXone supports data product infrastructure, coordinates release operations, monitors Snowflake environments, and improves DataOps processes through automation and tooling.

The Data Engineer at NiCE will manage operations-related tasks, support release pipelines, monitor systems, and strive for improved automation and efficiency in data-related processes.

Intern will support and develop features in a web project, applying data cleansing and implementing visualizations for customers.

The role involves building and maintaining data pipelines, developing ETL components, testing, CI/CD deployment, and collaborating with the BA and Scrum Master on projects.

The Data Engineer will build data systems, evaluate business needs, enhance data quality, and develop analytical tools while managing raw data.

The Data Engineer will analyze raw data, build data systems, enhance data quality, develop tools, and meet business objectives.

The Data Engineer will analyze raw data, build data systems, enhance data quality, evaluate business needs, and develop analytical tools.

The Data Engineer will analyze and organize raw data, build data systems and pipelines, and improve data quality for business needs.

The Data Engineer will analyze raw data, build data pipelines, evaluate business needs, enhance data quality, and develop analytical tools.

The Data Engineer will analyze and organize raw data, build systems and pipelines, and develop analytical tools to enhance data quality.

The role involves designing and building data infrastructure, developing ETL/ELT applications, collaborating with teams, and improving engineering processes for analytics and AI capabilities.

The Data Developer will design, expand, and optimize data pipelines, process data from various sources, and assist with data-related issues.

Design, build and optimize complex Azure-based data pipelines and ETL solutions using Informatica and big-data technologies. Analyze sources, resolve data quality issues, implement automation, tune performance, and mentor junior team members to deliver end-to-end BI and real-time analytics solutions.

This role involves developing and maintaining software programs under the guidance of a Software Engineer, ensuring adherence to specifications and standards while coordinating with team members.

Design and maintain secure data platforms, optimize data workflows and processes, and collaborate with stakeholders to implement data solutions.

The Data Engineer is responsible for analytics and insights development, including data sourcing, integration, analytical modeling, and data visualization to enhance business performance and decision-making.

The Data Engineer develops and manages the Manufacturing Data Lake, optimizing data pipelines, supporting CI/CD processes, and collaborating with IT and business teams.

The Data Engineer will develop and operate a cloud-based Manufacturing Data Lake, manage data pipelines, optimize solutions, and ensure efficient platform use for users.

The Junior Data Engineer will support data integrations and master data management, ensuring clean data flows across various systems and collaborating with engineering teams.

The Renewables Measurement & Data Engineer performs data quality checks, supports onsite measurement activities, and provides technical insights on renewable energy performance. They will work closely with clients and internal teams to troubleshoot and solve issues related to data and equipment. The role involves both office and fieldwork in renewable energy projects.

Design, implement, and maintain scalable data infrastructure for analytics and operational decision-making, optimizing data pipelines and ensuring data quality.

Responsible for developing and maintaining ELT snowflake solutions, collaborating with teams, mentoring developers, and improving data engineering practices.

The Data Engineer III will develop and maintain data warehouse solutions using ELT technologies, collaborate with teams, automate processes, and mentor junior developers.

Data Engineer II will execute data project initiatives, maintain data applications, automate processes, and mentor junior developers while collaborating with teams.