Data Engineering Jobs in Philippines
There are 1,079 open Data Engineering jobs in Philippines on freehire right now. 303 of them were posted recently. The skills employers ask for most often are sql, data-pipelines and analytics.
Most requested skills
- sql 58%
- data-pipelines 52%
- analytics 49%
- python 49%
- cloud 47%
- etl 46%
- data-engineering 43%
- data-quality 36%
How the work is done
- Hybrid 121 · 11%
- Remote 55 · 5%
- Onsite 15 · 1%
Visa sponsorship offered in 25% of the 16 postings that state a position on it.
Seniority
- Senior 268
- Lead 87
- Middle 28
- Junior 13
- Staff 13
- C-level 4
Who is hiring
- 1000+ employees 124
- 501-1000 employees 37
- 11-50 employees 8
- 51-200 employees 8
- 201-500 employees 1
Night-Shift Data Engineer: Snowflake & ELT Specialist
Builds and maintains scalable ELT/ETL pipelines in Snowflake and Azure, automating data workflows and mentoring junior offshore developers for a product-focused team.
Data Engineer: Build Scalable Data Infrastructure (Onsite)
Design and maintain scalable data infrastructure for a digital transformation initiative using SQL, Python, AWS Lambda, and GraphQL.
Remote Hive Data Engineer: Flexible Hours
Design and optimize Apache Hive SQL-based data warehouse solutions on Hadoop, tuning queries and managing data partitioning for enterprise-scale integrity.
Senior Data Engineer — Remote Health Data Impact
Own Snowflake-based data pipelines that feed analytics, translating business questions into reliable datasets using SQL, Python, dbt, and Airflow.
Remote Data Engineer: Cloud Pipelines & SQL Expert
Design, build, and maintain cloud-based data pipelines for analytics using SQL, Python, and Looker, ensuring reliable data delivery and collaboration with analysts.
Remote NiFi Data Engineer: Ingestion & Pipelines
Design and build Apache NiFi data ingestion and routing pipelines for high-throughput, low-latency delivery in remote-first environments.
Remote Big Data Engineer — Spark, Hadoop, Scale
Designs and maintains scalable big-data platforms using Hadoop, Spark, NiFi, and Kafka to process and structure global data streams on Linux clusters.
Databricks Data Engineer - Remote, Growth & Impact
Build and scale data pipelines on Databricks using PySpark, SQL, and reusable ingestion engines while ensuring data quality in a collaborative, remote-friendly environment.
Remote Palantir Foundry Data Engineer
Design and build scalable Palantir Foundry data pipelines and ontologies, turning raw enterprise data into actionable insights for critical decision-making.
Remote Geospatial Data Engineer: Build Spatial Pipelines
Design and build automated ETL pipelines for geospatial datasets like satellite imagery and GPS data, using PostGIS and GeoParquet to ensure data quality and support spatial modeling.
Remote Data Engineer: Cloud ETL & Analytics
Builds cloud-based ETL/ELT pipelines and optimizes data models using Python, SQL, Snowflake, and BigQuery to support analytics.
Data Engineer – Azure Databricks & Power BI (Remote)
Build and maintain a cloud data platform using Azure Databricks and Power BI, designing ETL/ELT pipelines and optimizing data quality and performance.
Senior Data Engineer — ETL/Python, Remote (Mexico)
Designs and builds ETL/ELT pipelines in Python and BigQuery to process and transform data for analytics and reporting.
Streaming Data Engineer (Remote – Spain Only)
Builds and maintains scalable data pipelines in Azure to enable analytics and data-driven decisions using Python, Spark, and Databricks.
Maritime Data Engineer — ETL, Cloud & Analytics
Designs and maintains ETL pipelines and cloud-based data infrastructure to feed maritime analytics, using AWS/Azure and ensuring timely, accurate data for business decisions.
Remote Azure Databricks Data Engineer
Builds and optimizes cloud data pipelines using Scala, Python, or PySpark on Azure Databricks for a Spain-based data analytics firm.
Senior Cloud Data Engineer — Remote/Hybrid ML & Analytics
Designs and builds scalable cloud data pipelines on GCP and AWS while collaborating with international teams to optimize data workflows.