Tech jobs
Job listings
Senior Azure Data Engineer (ID: 3508)
Design and build scalable Azure data pipelines using Databricks, PySpark, and Azure services to process and transform enterprise data for analytics and migration projects.
Senior Azure Data Engineer (ID:3501)
Build and maintain scalable Azure data pipelines using Databricks, Data Factory, PySpark, and Python to power enterprise analytics and reporting.
Senior Azure Data Engineer (ID:3500)
Design and build scalable Azure data pipelines with ADF, Databricks, and PySpark, plus automate deployments using Azure DevOps and Bicep.
Data Engineering Azure/MS Fabric/Databricks
Build and optimize data pipelines for Fortune 500 clients using Azure, Microsoft Fabric, and Databricks, focusing on ingestion, transformation, and modeling.
Data Engineering Azure/MS Fabric/Databricks
Build and optimize data pipelines for Fortune 500 clients using Azure, Microsoft Fabric, and Databricks, handling ingestion, transformation, and modeling in cloud environments.
Data Engineer - Crypto Trading & ML Infrastructure
Build and maintain data pipelines and infrastructure to support crypto trading and machine learning research in a fast-paced trading environment.
Senior Data Engineer, AI/ML Platform
Build and own scalable data pipelines and AI-driven web scraping systems for Roamler’s outlet-data products, integrating LLMs and agent frameworks on AWS/Azure.
SITEC - Splunk Data Engineer - MacDill AFB
Engineers Splunk data pipelines and edge processors to ingest, filter, and tag DoD telemetry for Zero Trust analytics and compliance reporting.
Google Cloud Analytics Engineer: Data Pipelines & Modeling
Designs and builds Google Cloud data pipelines and models using dbt, Python, SQL, and BigQuery to transform raw data into clean, documented datasets for business stakeholders.
Python Backend & Data Engineer
Build and maintain Python-based backend services and data pipelines that power AI-driven features and analytics for a global travel gift-card platform.
Senior Data Engineer (Azure)
Build and maintain Azure-based data pipelines and ETL workflows using SQL, Python, and Azure Data Factory to support analytics and reporting for banking/finance clients.
Data Engineer (ID: 3583)
Build and maintain scalable data pipelines using Databricks, PySpark, and Azure Data Factory to process large datasets for analytics and AI initiatives.
Senior Data Engineer
Build and scale a new Azure-based data platform using Synapse, PySpark, and Git, while maintaining pipelines and monitoring for a finance-focused company.
GCP Data engineer
Mentor and lead a team migrating SQL Server and data pipelines to GCP, coaching on cloud best practices and scalable architectures.
Senior Data Engineer
Design and build SQL Server-based data pipelines and enterprise data warehouse for a European bank, modernizing legacy systems with Python, Airflow, and Azure while ensuring regulatory compliance.
Data Engineer
Build and maintain data pipelines for EV charging networks, ensuring reliable data for smart charging and energy optimization using AWS, Databricks, and Python.
Principal Data Engineer
Principal Data Engineer designs and builds scalable Databricks-based data platforms, owning architecture from ingestion to consumption while guiding teams on Delta Lake, Unity Catalog, and governance.
Platform Data Engineer
Build and maintain a scalable data platform for a Dutch gambling organization using Azure Databricks, Python, and Spark to enable real-time fraud detection and responsible gaming analytics.
Sr. Data Engineer
Design and maintain scalable data pipelines and cloud-based ETL workflows to feed analytics and ML systems, using Kafka, REST APIs, and AWS/Azure.
Data Engineer
Build and maintain scalable ETL pipelines and cloud data infrastructure to ensure reliable, high-quality data flows for analytics and decision-making.