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Senior Data Engineer designing and building cloud-native data platforms (Snowflake, Databricks, BigQuery, etc.) with ELT/ETL pipelines, CI/CD, and AI-ready infrastructure for a financial consulting firm serving private equity portfolio companies.
Senior Data Engineer owning data pipelines end to end on a Microsoft Fabric Lakehouse platform, building batch/incremental PySpark pipelines, dimensional models, and Power BI semantic layers with a strong emphasis on data quality and operational excellence.
Architect and maintain enterprise-grade ELT/ETL data pipelines using Python, PySpark, Kafka, and Databricks for large-scale banking risk data, while building GenAI agents and deploying microservices on Kubernetes/OpenShift.
Data Engineer designing and optimizing Azure-based data pipelines (Databricks, SQL Server, Data Factory) with SQL and Python/PySpark, collaborating with Finance and Portfolio teams.
Build and maintain an enterprise data lake on BigQuery, design ETL pipelines in Python across ERP/CRM sources, and develop ML forecasting models and AI agents using LLM APIs.
The NetDevOps Consultant drives network automation, infrastructure-as-code, and AI-driven operations across cloud, edge, and enterprise environments using Python, Ansible, Terraform, and observability platforms.
About Scalar : Building on a great API is one of the best feelings in software — every interface you want is right there, and it all just works. Building on a bad one is the opposite: out-of-date docs, no SDK in your…
First Solutions Engineer at Scalar (devtools startup), owning live demos, POCs, docs/SDK migrations, and customer onboarding — working in-office in SF alongside the CEO to build the sales engineering function from scratch using TypeScript and OpenAPI.
Data Engineer at Knowit Denmark building and operating big data pipelines and a data warehouse on Google Cloud (BigQuery) for a global client, feeding downstream marketing and CRM platforms like Salesforce.
This role involves designing and developing control and data plane software for Cisco's IIoT wireless and satellite networking products. The engineer will work on low-level components like BSPs and drivers while leveraging C/C++ and AI-assisted development tools.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
In this Role, Your Responsibilities Will Be: • Analyze and triage AI-related requests, determining feasibility and identifying appropriate AI/agent-based solutions. • Design and develop AI agents and copilots using…
Build and maintain AI-powered software development tools and agents for a large U.S. bank, using Python, React, and Azure AI services to enhance developer productivity.
Senior AI Engineer builds and maintains production AI systems, RAG pipelines, and data infrastructure for financial products, deploying on AWS and ensuring reliability at scale.
Build and maintain full-stack ETF trading systems using Java/Spring, Angular, and Kafka, while integrating AI tools into the SDLC for faster, higher-quality releases.
This role involves building client-facing web applications that integrate Generative and Agentic AI for the Asset and Wealth Management division. The engineer will use Python and React to develop scalable, secure AI-powered workflows and APIs while ensuring compliance with financial industry standards.
Build the core architecture for AI agents that learn and adapt to users over time, focusing on runtime, memory, security, and multi-agent orchestration.
Build and own AI agent solutions that reinvent how Pearson’s workforce operates, turning concepts into adopted tools that empower learning at scale.
The Principal Software Engineer will architect and lead the development of AI-driven network validation services, focusing on agentic workflows and LLM-based automation for enterprise infrastructure. This role involves setting technical strategy, mentoring engineering teams, and ensuring the reliability of network lifecycle management systems.
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