Top Data Engineer Jobs in Caloocan

Support and develop web project features, perform data cleansing, build visualizations, automate processes, and extract scheduled data for customer-facing analytics.

Support pre- and post-deployment data pipeline and product integration activities. Assist clients with data ingestion and configurations, monitor and maintain pipelines (e.g., Matillion), troubleshoot scripts and integration issues (PHP, Postgres), document procedures, and escalate complex problems to senior engineers while collaborating with support and product teams.

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.

Design, develop, and maintain data pipelines and workflows (batch/streaming), ensure data quality and governance, write clean tested code, troubleshoot processing issues, collaborate in agile teams, produce documentation, and support deployments while growing technical skills under senior guidance.

Design, build, and maintain scalable data pipelines and storage on cloud platforms. Implement ETL, data models, data quality monitoring, governance, and collaborate with data scientists for analytics and reporting.

Support design, develop, test and deploy ETL/ELT pipelines for Finance data lake and warehouse. Provide L1/L2 platform support, implement data quality, validation and governance, maintain metadata/lineage, and collaborate with business users and analysts to translate requirements and enable BI self-service.

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

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.

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.

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

Maintain, clean, and normalize customer and operational data; build and sustain reliable data pipelines and analytics-ready tables. Implement basic data quality checks, monitor and resolve pipeline issues, document datasets, and support analysts and stakeholders with accurate, usable data.

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

Design, implement, and maintain scalable data infrastructure for analytics and operational decision-making, optimizing data pipelines and ensuring 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 Associate Data Engineer at NICE CXone supports data product infrastructure, coordinates release operations, monitors Snowflake environments, and improves DataOps processes through automation and tooling.

Assist in implementing ETL/ELT tasks and data model changes, learn standards for data quality, and support data profiling and defect fixes.

Design, build, and maintain Microsoft Fabric data architectures and ETL pipelines (Fabric, Synapse, ADF). Transform and optimize data for analytics and AI, support RAG/LLM workloads, ensure data quality, governance, performance, and document workflows.

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

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

Design, build, and maintain scalable ETL and real-time data processing systems on Databricks and AWS. Develop Spark-based pipelines, ensure data quality and governance, implement security controls, automate infrastructure with Terraform, and collaborate with analysts and engineers to resolve issues and optimize performance.

Design, build, test and maintain ETL pipelines using Python and Jupyter notebooks. Transform vendor and client data, migrate Excel logic to Python, document processes, respond to incidents within SLAs, automate processes, and collaborate with business and technical teams to improve data workflows.

The Data Engineer will design, develop, and maintain data pipelines, ensuring accurate data for reporting and decision-making, while improving internal processes and keeping up with technology trends.

The Data Engineer will design, develop, and maintain data pipelines and architecture, ensuring data quality and governance, while collaborating with data professionals.

Design, develop, and maintain complex T-SQL stored procedures and SSIS ETL packages; performance tune databases; perform data analysis, validation, and testing; support production data loads and troubleshoot database issues while collaborating with technical and business teams.

The Data Engineer Consultant captures, transforms, and loads data using Azure services, ensuring data quality and developing ETL pipelines while collaborating with stakeholders.