Tech jobs
Job listings
GCP Data Engineer: BigQuery, Airflow & ETL Specialist
Designs and maintains GCP data pipelines using BigQuery and Cloud Composer, writes Python ETL scripts, and ensures data security and compliance for a Metro Manila tech services provider.
Marketing Data Scientist, Data & AI Enablement
Build and maintain Snowflake data models to power AI-driven marketing systems, enabling agentic workflows and LLM tool-calling for predictive and generative use cases.
FULLREMOTE - ML Engineer/ Data Scientist
ML Engineer/Data Scientist maintains and evolves ML models in production for a banking project, using Python, PySpark, BigQuery, and GCP while monitoring model drift and performance.
Senior Data Engineer (PySpark / GCP / Kafka)
Builds and maintains data pipelines using PySpark, Kafka, and GCP services like BigQuery and Dataproc.
Senior Data Engineer (PySpark, Kafka, GCP)
Build and optimize batch and real-time data pipelines using PySpark, Kafka, and GCP tools like BigQuery and Dataproc for large-scale data processing.
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.
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.
Senior Data Engineer - Remote, AI-Powered Data Platforms
Senior Data Engineer builds and optimizes BigQuery data pipelines and dbt projects to power AI agents and executive decisions across multiple clients.
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.
Sr. Data Engineer (Snowflake)
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
PH - Engineering Consultant (Data Engineering)
Build and secure data pipelines and warehouses for clients, then deploy ML models. Work with Python, SQL, Airflow, cloud platforms (AWS/GCP), and tools like BigQuery and Snowflake.
Lead Azure Data Engineer
Lead the design and optimization of scalable Azure data pipelines using Databricks, PySpark, and ADF, while mentoring engineers and collaborating with cross-functional teams.
Senior Data Engineer Bilingual
Designs and maintains scalable data pipelines and cloud-based data solutions to support analytics, reporting, and machine learning initiatives using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Senior GCP Data Engineer: Pipelines & Real-Time Data
Senior Data Engineer builds and optimizes GCP pipelines—batch and real-time—using BigQuery, Spanner, Airflow, and Dataflow to ensure reliable data ingestion and processing.
Data Engineer - Mexico
Design and build scalable data platforms on AWS, Azure, and GCP, using cloud warehouses, Spark, Kafka, and Python/Java to enable AI-driven analytics for enterprise clients.
Staff Data Engineer
Lead the design and evolution of a robust Data Platform, building certified data products from sales, inventory, logistics and finance datasets to ensure reliable, traceable and actionable business decisions.
Data Engineer (AWS) | Work From Home
Build and maintain AWS-native data pipelines and warehouses for telecom analytics using S3, Redshift, Glue, and Python/SQL.
Senior Data Engineer
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
Google Data Engineer
Design and build scalable GCP data pipelines and BigQuery models for analytics and ML, using Dataflow, Pub/Sub, and Kubernetes.
PySpark Data Engineer
Build and maintain scalable PySpark pipelines and ETL workflows to process large datasets, ensuring data quality and performance for analytics and reporting.