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Data Engineer - Freelance
Build and maintain a fintech data platform using Redshift, Airflow, and dbt, ingesting and transforming raw data into scalable analytics and supporting ML implementations.
Senior Full Stack Engineer
Architect and ship full-stack features end-to-end in Python (FastAPI) and React with Tailwind, integrating AI-driven tools and AWS services for a next-gen SaaS platform in Generali’s AI engineering team.
AWS Data Engineer
Designs and builds AWS-based data pipelines, data lakes, and cloud infrastructure to support analytics and ML workloads.
Client Technology Manager
Title: Client Technology Manager Reports to: Director of Support Department: Support Location: New York, NY – Onsite Term: Full-Time About Atlas Technica Atlas Technica’s mission is to shoulder IT management, user…
Platform Engineer / DevOps Specialist
Designs and runs Kubernetes-based infrastructure across multi-cloud and on-prem for an Industrial IoT platform, using Terraform, Argo CD, and Go, while coaching junior engineers.
DevOps / Openshift Engineer
Build and maintain OpenShift/Kubernetes platforms, automate CI/CD pipelines, and manage cloud infrastructure using Terraform and Ansible for a global IT services provider.
DevOps Engineer (f/m/d)
Build and maintain CI/CD pipelines, cloud infrastructure, and automation tools to streamline software delivery and ensure reliable, secure deployments.
Backend Developer (C++ / Python / Node.js)
Builds scalable backend services in C++, Node.js, or Python for global clients, focusing on high-performance, event-driven systems and cloud-native deployment.
DevOps Engineer Semisenior — Infraestructura & CI/CD
DevOps engineer builds and maintains cloud infrastructure and CI/CD pipelines for scalable, secure systems in aerospace, industrial, and telecom sectors.
Data Platform Engineer: Cloud Infra & Self-Service
Build and operate a cloud-native data platform using Kubernetes, infrastructure-as-code, and metadata governance to enable self-service analytics while ensuring security and zero-downtime upgrades.
Data Infra Platform Engineer
Build and operate a scalable, self-service data platform on Kubernetes using Terraform, Kafka, Iceberg/Trino, Airflow, and Azure services, ensuring reliability, governance, and FinOps.
AI Engineer, Data Infra
Build and scale the data infrastructure that powers LLM training, fine-tuning, evaluation, and RAG systems using cloud tools like AWS Glue, EMR, and Kubernetes.
Lead Data Platform Engineer - Cloud and ML Ops
Lead the design, automation, and operations of StarHub’s cloud data platform using AWS, Snowflake, and SageMaker to support scalable AI and analytics workloads.
Senior Data Platform Engineer
Designs and governs enterprise-scale Microsoft Fabric and Azure data platforms, focusing on security, governance, and integration with Azure services.
Principal Data Platform Engineer
Lead and scale StarHub’s cloud data platform (AWS, Snowflake, SageMaker) to ensure reliability, security, and innovation for enterprise data and AI workloads.
Data Engineer - Dashboard (QuickSight/Tableau)
Build and maintain data pipelines and interactive dashboards (QuickSight/Tableau) for a government analytics platform, supporting decision-making and policy implementation.
AWS Data Engineer — Scalable Pipelines & Serverless
Designs and builds scalable AWS data pipelines using PySpark, Python, AWS Glue, and serverless components, with IaC via Terraform and CI/CD practices.
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amazon web services (aws) Senior Data Engineer, Sales Insights, Analytics, Data Engineering and Science (SIADS)
Build and maintain AWS’s APJ data analytics platform, designing pipelines, data lakes, and ETL processes to power sales insights and business decisions across the region.
Data Engineer (AWS/Tableau/Quicksight) (SG Citizen/PR only) (4 Year Contract)
Build and maintain cloud-based data pipelines, dashboards, and ETL workflows using AWS, Python, Tableau, and QuickSight to power enterprise analytics and reporting.
Data Engineer (Geospatial) (1 Year Contract)
Build and maintain scalable data pipelines and cloud architectures to power geospatial analytics and spatial modelling for public-sector planning and decision-making.