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Data Engineer 2 - TS required - Washington DC area
Entry-level (0-1 year) Data Engineer supporting ETL pipeline development, data migration, and data quality validation using SQL, Python, and cloud platforms (AWS/Azure/GCP). Requires TS clearance and is based on-site in the Washington DC area.
Senior Data Engineer
The Senior Data Engineer will design, deploy, and manage containerized data pipelines and lakehouse architectures. The role requires expertise in SQL, Python, Kubernetes, and orchestration tools like Apache Airflow to build robust, scalable data solutions.
HVAC Design Engineer
About the Role We are seeking an experienced HVAC Design Engineer to join our team and contribute to exciting industrial projects both locally and internationally, including Pharmaceutical, Semiconductor, Data Center,…
Mechanical Drafter
Company Overview Stulz Singapore Pte Ltd, part of the global STULZ Group, delivers reliable, energy-efficient air-conditioning and precision cooling solutions for data centres and critical environments. We combine…
Senior Software Engineer - AI & Data Systems
Lead development of scalable AI systems processing engineering documents (CAD/BIM, reports) using Python backends and React frontends, integrating LLMs and deploying on cloud.
Software Engineer I - Java, Python , GCP , NoSQL - GMNST
Software Engineer building core card transaction systems on distributed cloud platforms using Java, Python, GCP, and NoSQL technologies in an agile environment.
Software Engineer III - Machine Learning Platform
Build and operate scalable ML training systems and pipelines on AWS and Kubernetes, optimizing GPU-based workloads, enabling Gen AI/LLM fine-tuning workflows, and improving platform reliability and developer experience.
Sr Lead Software Engineer - Java/Python, Data Engineering
Join a team where your advanced engineering skills drive impactful solutions for a global financial leader. Grow your career while shaping the future of data-driven risk assessment. Job summary As a Senior Lead…
Lead Software Engineer - Java/Python, Data Engineering
Join a team where your engineering expertise drives impactful solutions for a global financial leader. Advance your career while shaping the future of data-driven risk assessment. Job summary As a Lead Software…
Google Cloud DevOps Engineer (Temporary Contract)
This is a 5-month contract role focused on building and maintaining Google Cloud infrastructure for a public-sector platform. The engineer will manage GKE clusters, Helm deployments, CI/CD pipelines using Cloud Build, and cloud-native monitoring tools.
Staff DevOps Engineer (Linux)
Design, automate, and scale the infrastructure for a fintech AI platform that detects money laundering and fraud using Linux, Kubernetes, and cloud tools.
176. Senior Data Engineer
A Senior Data Engineer at Source Meridian designs, builds, and maintains data ingestion pipelines into a Databricks-based data platform on AWS, using Python and Spark to model data in Delta Lake, collaborating with DBA and analytics teams to ensure reliability and governance.
175. Senior Data Engineer
Senior Data Engineer building and scaling Databricks on AWS data ingestion pipelines for a healthcare client, using Python, Spark, and Delta Lake with medallion architecture.
177. Senior Data Engineer
A Senior Data Engineer role at Source Meridian, responsible for building and scaling data ingestion pipelines into Databricks from various source systems, optimizing Spark workloads, and working with DBA teams on data governance and quality.
Senior Data Engineer
Senior Data Engineer at SHEIN applying GenAI/LLM capabilities to data engineering workflows, building production-ready AI solutions for code assistance, metadata discovery, and operational efficiency improvements using Python, SQL, and modern data technologies.
Cloud Architect
Lead end-to-end architecture for cloud, data, and AI systems, designing scalable, secure solutions and mentoring teams to ship production-ready AI in 30–45 days.
Lead Analytics Engineer
Lead Analytics Engineer responsible for driving monetization metrics and data pipelines, partnering with data scientists and engineering teams, using SQL, Airflow, Tableau, and other data engineering tools to build and maintain analytics solutions.