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Senior Data Engineer
Senior Data Engineer builds cloud pipelines to move energy data from on-site systems to the cloud and helps integrate ML models for Ampowr’s Energy Management System.
Data Engineer
Builds scalable data pipelines and AI-ready infrastructure for logistics and energy clients using Spark, Fabric, and cloud platforms like AWS/Azure/GCP.
Azure Data Engineer
Design and build scalable Azure data pipelines using PySpark, Python, DBT, and Databricks to transform raw data into insights for clients in healthcare, government, finance, and more.
Principal Data Engineer
Principal Data Engineer designs and builds scalable, sovereign data platforms for government and enterprise clients, integrating cloud-native pipelines, AI, and open-source tech like Kafka, Spark, and Kubernetes.
Lead Data Engineer
Leads end-to-end data engineering projects, designing scalable ETL/ELT pipelines and cloud-based data architectures while coaching a team of engineers to deliver reliable, high-impact data solutions for enterprise clients.
Staff Data Engineer
Build and maintain a self-serve data platform for a large classifieds marketplace, owning batch and streaming pipelines, lake management, and APIs that power analytics and ML workloads using Databricks, AWS, Spark, Python, Kafka, and Airflow.
Data Engineer (Kubernetes)
Build and deploy cloud-native data platforms on Kubernetes, containerizing workloads and integrating tools like Airflow and Spark while collaborating with data scientists to productionize models.
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.
Staff Data Engineer
Lead the design and scaling of a modern data platform, building self-service tools and enabling AI initiatives in a cloud environment using Databricks, Spark, and infrastructure-as-code.
Data Engineering Principal
Principal Data Engineer designs and leads end-to-end data pipelines, ETL/ELT systems, and cloud analytics on Azure for enterprise clients, using Python, Spark, and modern architectures.
Data Engineering Manager
Lead a team to design and build scalable data pipelines, ETL/ELT workflows, and analytics platforms using Python, Spark, and Azure services for clients in AI and data-driven industries.
Medior Data Engineer
Build and maintain scalable, 24/7 data pipelines and analytics solutions for clients in industries like healthcare, energy, and logistics using SQL, Python, Azure, Spark, and Kafka.
Medior Data Engineer
Build and maintain cloud-based data pipelines and infrastructure using tools like Databricks, Spark, Airflow, and Terraform to enable AI-driven analytics and solutions for enterprise clients.
Data Engineer Consultant
Builds and optimizes data pipelines for clients using Databricks, Spark, and cloud tools to prepare clean, structured data for analytics and operations.
Fabric Data Engineer
Design and build scalable data platforms using Microsoft Fabric, guiding clients through architecture, pipelines, governance, and analytics with Azure integration.
Data Engineer Intern
Build and optimize data pipelines for gaming analytics, processing real-time and batch streams with Python/Java/Go and SQL.
Core Data Engineer
Build and maintain core financial data pipelines (Security Master, ETF compositions, market data) using Python, SQL, Airflow, Kafka, and GCP to ensure high-quality, reliable data for quantitative trading.
Data Engineer
Design and build scalable cloud data pipelines and platforms using Python, PySpark, DBT, and SQL, transforming raw data into AI-ready insights for healthcare and other sectors.
Data Engineer
Build and maintain a Databricks-based data platform on Azure, migrating legacy systems and developing PySpark/Airflow pipelines for reliable, scalable financial data pipelines.
Data Engineer
Senior Data Engineer builds scalable Microsoft-based data pipelines and lakehouse architectures for enterprise clients across finance, government, energy, logistics, and healthcare.