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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.
Remote AI Data Engineer - Healthcare ML Pipelines
Build and optimize data pipelines for healthcare-focused AI models, ensuring scalable, high-quality data for LLMs and ML systems.
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 (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 — Scalable Pipelines & Cloud
Builds and maintains cloud-based data pipelines and solutions using Python or Scala for a global team.
Senior Data Engineer: Real-Time ETL & AWS Data Pipelines
Build and maintain real-time ETL pipelines and data infrastructure on AWS to power AI-driven analytics and risk models.
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 - 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: Build Scalable Pipelines & Insight Dashboards
Builds and maintains scalable data pipelines and dashboards for an iGaming company, using Spark, Java/Scala, and RESTful APIs to turn raw data into actionable insights.
Azure Databricks Data Engineer
Build and optimize large-scale data pipelines using Scala, Python, PySpark, and Databricks on Azure, designing cloud-native data architectures for enterprise clients.
Data Engineer (Azure) - Philippines
Design and maintain Azure-based data pipelines for a Microsoft Fabric-powered lakehouse, integrating utility and IoT data for analytics and reporting.
Data Engineer: Build Scalable Pipelines & Data Lakes
Design and implement scalable data pipelines and data lakes using Python or Scala, ensuring optimized data delivery for analysis.
Senior Data Engineer - Data Architecture & Engineering
Senior Data Engineer designs and optimizes Azure Synapse data pipelines, builds star schemas, and tunes SQL pools for analytics workloads using Azure Data Factory and Databricks.
Data Engineer Associate Manager
Build and maintain scalable data pipelines and analytics datasets using Azure Databricks, Microsoft Fabric, and Python, enabling reporting and AI use cases for enterprise clients.
Data Engineering Lead: Snowflake & Databricks Expert
Design and build scalable data pipelines using Snowflake, Databricks, and real-time streaming; mentor junior engineers and collaborate with cross-functional teams.
Data Engineer | Hybrid - BGC
Designs and builds data pipelines, ETL processes, and streaming ingestion using Spark, Kafka, and cloud tools to feed analytics platforms.
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.