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Senior Data Engineer at Kake creating and evaluating AI training data: writing prompts, producing reference-quality code solutions, and scoring model outputs to give human feedback that helps AI labs improve LLMs and AI agents. The role blends software engineering with AI training data work.
Exavalu is hiring a remote data engineer to design and optimize ETL data pipelines using Azure Databricks, Spark, and SQL. Day-to-day work includes implementing Delta Lake for data versioning, orchestrating with Azure Data Factory and Synapse, and securing data via RBAC and encryption while tuning performance and costs.
Technical Lead for Data Engineering at Birlasoft, architecting and delivering large-scale enterprise data solutions. Day to day: leading end-to-end development in Python and Django, building data pipelines, adding GenAI-powered features, and owning REST/SOAP integrations, SOA design, and CI/CD with Git and Azure DevOps.
Leads a small team of Applied AI Engineers (~80% hands-on, ~20% leading) architecting the data quality layer for Firmable's B2B sales-intelligence platform: verification pipelines, LLM eval harnesses, anomaly detection, and release gates over billions of records. Core stack: Python, advanced SQL, LLM production tooling, Airflow, Snowflake/Databricks/Redshift on AWS.
Senior Data Engineer who designs, builds, and operates production-grade batch and streaming data pipelines on Google Cloud Platform, while integrating agentic AI and LLM frameworks (LangChain, LlamaIndex) such as tool calling, memory, and RAG into production data systems. Core stack: Python, Java, Spring Boot, dbt, and Spark on GCP.
Senior Data Engineer building an AI-native data platform that turns billions of raw records into trusted B2B data. Day to day involves architecting transformation and warehouse layers and designing production-grade LLM-powered extraction, enrichment, validation, and entity-resolution systems alongside AI, analytics, and product teams.
E4 Software Services is hiring a senior data engineer (6+ yrs) in Negros Occidental, Philippines, to design and maintain scalable data pipelines using PySpark, AWS Databricks, and S3, with a focus on data quality, security, governance, CI/CD, and performance tuning.
Senior Data Engineer on Proximity's Data Platform team, designing, building, and optimizing large-scale data pipelines with Spark, Scala, and Airflow on AWS/S3 to power analytics and downstream applications. Based in Negros Occidental, Philippines, working closely with cross-functional teams.
Senior Data Engineer at Vibehackers in Negros Occidental, Philippines, designing and running production-grade batch and streaming data pipelines on Google Cloud Platform, and embedding agentic AI (LangChain, LlamaIndex, LLM frameworks) to enable autonomous workflows.
Lead Data Engineer at Mastercard building and evolving large-scale backend data systems, real-time and batch pipelines, and AI-enabled services for analytics and automation at global scale. Core stack: Scala/Python/Java, CDP, Spark, and cloud-based architectures.
A senior data engineer at Maersk designs, builds, and operates scalable data products and pipelines that power AI-enabled decision-making, collaborating with data science and product teams to deliver trusted datasets, orchestration workflows, and production-ready, governed data platforms.
Data Engineer at Cambridge University Press & Assessment in Makati City, Metro Manila, designing, building and maintaining Microsoft Power Platform and data solutions for global Professional Development operations. Day to day involves Power Apps, Power Automate, Microsoft 365 integrations and Power BI enablement. Hybrid: 2 office days/week, Mon-Fri 3PM-11PM Manila time.
Senior Data Engineer at JobCubby designs, builds, and troubleshoots data-driven software, creating real-time and batch pipelines with PySpark, Spark, and Azure Databricks. The role includes mentoring junior engineers, ensuring data quality and governance, and partnering with data scientists to operationalize ML.
CoDev Philippines is hiring a Senior Data Engineer to lead Looker/LookML modeling and BigQuery SQL for a multi-tenant BI platform on GCP — turning raw data into client-ready insights and governing user attributes, roles, and groups so external clients can be routed securely to BigQuery datasets.
Lead/Senior Data Engineer at ABC Fitness who designs and optimizes data pipelines across CRM teams, builds scalable SQL workflows on MySQL and Redshift, and shapes lakehouse-style analytics with Apache Iceberg. Also mentors teammates and ensures reliability of the data platform while partnering with product squads.
Remote (Philippines) support role on the Corporate Risk & Broking Data Lake team: configure and monitor deployment pipelines, troubleshoot failed pipelines, fix Synapse notebooks, onboard new data sources, and manage access governance. Core stack is Python/pySpark, Azure (Synapse, SQL DB), Power BI and Git-based DevOps.
Senior data engineer who designs, builds, and troubleshoots enterprise data pipelines for real-time and batch processing using Scala, Apache Spark, Azure Databricks, Azure Data Factory, and SQL Server/T-SQL. Partners with data scientists to operationalize ML models, ensures data quality and governance, and mentors junior engineers.
Senior Data Engineer on Proximity's Data Platform team, designing and optimizing large-scale ETL and batch/streaming data pipelines using Apache Spark, Python/Scala, Apache Airflow, and AWS (especially S3), while troubleshooting production issues and collaborating with cross-functional teams.
Hands-on senior data engineering role building an AI-native B2B data platform: architecting transformation and warehouse layers and production systems for LLM-powered extraction, enrichment, validation, and entity resolution at billion-record scale. Posted via Triwill Group on behalf of a partner company; the partner seeks a candidate based in India.
Senior Data Engineer at Maersk (posted via Damco Spain SL) in Negros Occidental, Philippines, designing, building, and operating scalable batch and streaming data pipelines, data products, and analytics/AI foundations. Core stack is SQL, Python, and PySpark on cloud data platforms with orchestration, ETL/ELT, data quality, and DevOps/DataOps practices, supporting BI and AI/ML use cases.
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