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Senior Data Engineer (Must have Databricks & AWS Experience)
Build and optimize scalable data pipelines using Databricks, PySpark, and AWS services to power analytics and reporting for a data-driven product team.
Senior Data Engineer - Airflow & Data Pipelines (Remote)
Build and maintain automated data workflows using Apache Airflow, designing optimized pipelines while collaborating with cross-functional teams.
Big Data Engineer
Design and build end-to-end big-data pipelines using Spark, Python/Scala, Airflow, and cloud platforms (AWS/Azure/GCP) to process and store data at scale.
Senior Data Engineer — Remote MX | AI-Driven Analytics
Design and maintain scalable data pipelines and analytics infrastructure using Snowflake, DBT, Airflow, and Fivetran to power internal reporting and AI-driven analytics.
Senior Data Engineer (AWS & Confluent Data/AI Projects) | Remote
Design and build scalable AWS data pipelines and real-time streaming systems using Confluent Kafka for analytics and AI workloads.
Senior Data Engineer
Designs and builds cloud-based data warehouses and pipelines for a healthcare company, using SQL and BigQuery to support analytics and reporting across clinical and financial systems.
Senior Data Engineer (AWS & Confluent Data/AI Projects) | Remote - PH
Design and build scalable AWS data pipelines and real-time streaming systems using Confluent Kafka for analytics and AI workloads.
Data Engineer
Designs and builds cloud-based data pipelines and warehouses for a healthcare company, ensuring accurate analytics and reporting across clinical and corporate functions using SQL, Python, and BigQuery.
Remote Data Engineer: GCP Pipelines & Analytics
Designs and maintains GCP-based ETL/ELT pipelines to feed analytics and decision-making, using SQL, Python, and Airflow.
Lead Data Engineer (Python/AWS)
Lead a team building PySpark/AWS ETL pipelines that ingest SAP, Intelex, SQL and OSI PI data into a cloud data lake and ensure clean, reliable data flows for analytics.
Senior Data Engineer — Build Real-Time Grid Data Pipelines
Senior Data Engineer builds and maintains real-time data pipelines for utilities' grid data using Python, SQL, AWS, and Airflow.
Data Engineer-Data Platforms - Japanese Bilingual
Design and build AWS-based batch and real-time data pipelines using Glue, EMR, Kinesis, and Redshift, plus open-source tools like Airflow and Spark.
Senior Data Engineer - Data Products & Lakehouse Architect
Designs and builds scalable data pipelines and governed data products on AWS for a risk-focused datamart using PySpark, Airflow, and data quality controls.
Data Engineer( up to 200K php)
Builds and maintains ETL pipelines and data models using Airflow and dbt to transform raw data into clean, governed layers for analytics and reporting.
Senior Data Engineer: Scalable Pipelines & Snowflake/AWS
Design and maintain scalable data pipelines using Snowflake, dbt, Airflow, and AWS to power analytics platforms and ensure data quality.
Senior Data Engineer - Consumer Data Platform
Build and maintain P&G’s consumer data platform, designing scalable APIs, ETL pipelines, and BigQuery warehouses to power analytics and BI dashboards.
Senior Data Engineer (Hybrid) | Cubao
Designs and builds scalable data pipelines and warehouses using Python, Spark, and Snowflake to support analytics and ML workloads for enterprise clients.
Senior Data Engineer: Lakehouse & NebulaGraph Architect
Designs and builds scalable data architectures using Apache Iceberg, NebulaGraph, Spark, and Airflow to ensure traceable, governed, and accessible data pipelines.
Senior Data Engineer - Scalable Pipelines & Cloud Analytics
Designs and maintains scalable cloud data pipelines and warehouses, enabling analytics and ML with tools like Spark, Airflow, and Snowflake.
Data Engineer (Banking/Cloud Data Platform)
Build and maintain cloud-based data pipelines and transformation models for banking clients using Airflow, dbt, and Spark.