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Senior trainer teaching remote Data Engineering on AWS with Python and SQL, designing ETL pipelines, and mentoring students in hands-on labs.
Build and maintain Python-based data pipelines, REST APIs, and automation tools to process, clean, and expose data for analytics and internal tools.
Build and optimize cloud-native data pipelines and warehouses on AWS using Python, ETL/ELT tools, and modern data stacks for analytics and ML workloads.
Build and maintain ETL/ELT pipelines connecting NetSuite, Oracle, and other sources to an AWS data lake/warehouse, then create Power BI and Tableau dashboards for healthcare analytics.
Build and maintain scalable data pipelines for a systematic commodities hedge fund, using Python, SQL, and cloud tools to process market and alternative datasets for trading research.
Build and maintain AWS-based data pipelines and ETL processes for a global financial data provider, using Python, Spark, and modern cloud tools to enable AI-ready analytics.
Build and maintain data pipelines, cloud data warehouses, and RESTful APIs using Python, GCP, and FastAPI/Flask to support scalable data-driven applications.
Build, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to productionize insurance-focused solutions.
Build, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to move prototypes into production.
Build and maintain scalable data pipelines and infrastructure to power AI applications using LLMs, retrieval systems, and agentic architectures for enterprise clients.
Design and build scalable data pipelines and architectures for AI/ML and BI, working with customers to implement robust data solutions using tools like Spark, Kafka, and SQL.
Build and deploy production-grade AI systems, including LLMs and RAG pipelines, using Python and cloud AI platforms.
Builds and refines data pipelines and models for systematic and discretionary trading strategies using Python and market data.
Lead a Python team building scalable RESTful microservices for JPMorgan’s Delta One equities platform, collaborating with front office and quant research to deliver market-leading trading tools.
Build and maintain modern Python-based trading systems for a global quantitative investment firm, collaborating with quants and traders to implement data-driven trading solutions.
Builds Python-based data pipelines and AI/ML integrations for life-science labs, translating assay workflows into Benchling, AWS, and FastAPI services while ensuring regulatory compliance.
Role Overview We are seeking a part-time Python/Django Developer & Data Engineer with experience in DevOps and CI/CD pipelines to join our growing team. This role supports the maintenance and evolution of our data…
Designs and builds scalable data infrastructure and ETL pipelines using Python, Java, SQL, and cloud tools to support analytics and ML.
Build and deploy ML models and ETL pipelines in Python/SQL to optimize freight logistics, partnering with data scientists and business teams.
Build and deploy AI/ML models and data pipelines to power logistics solutions, working with Python, cloud platforms, and MLOps tools.
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