W2 - (3) - Sr Data Engineer (1 opening: 1k Agents, 2 openings: Infrastructure Engineer) - Remote

Duties:Implement data pipelines using best practices for ETL / ELT, data management, and data governance.Analyze and process complex data sources in a fast-paced environment.Perform data modeling against large data sets for peak efficiency.Identify, design, and implement process improvement solutions that automate manual processes and leverage standard frameworks and methodologies.Understand and incorporate data quality principles that ensure optimal reliability, impact, and user experience.Partner across teams to support cross-platform operations.Create and document functional and technical specifications.Drive exploration of new features, versions, and related technologies, and provide recommendations to enhance our offerings.Mentor junior engineers within the team Education:Bachelor's degree in Computer Science, Information Technology or related field; OR equivalent 5years of experience.5years of hands-on experience programming in SQL.3years of experience building and maintaining automated data pipelines and data assets using batch and/or streaming processes Schedule Notes:Maximum of 3 submissions per supplier.Please note which role they are applying to on the resume or summary at the time of submission.1 opening:1k Agents 2 openings:Infrastructure Engineer Job Title:Infrastructure Engineer (Terraform, CI/CD, GCP & Azure, Data & AI Platforms) Location:Remote / Hybrid / On-site Experience:10years Job Type:Contract About the Role We are looking for an experienced Infrastructure Engineer to design, automate, and operate scalable cloud infrastructure supporting data platforms and AI/ML workloads across GCP and Azure.This role focuses on Infrastructure such as Code, CI/CD automation, cloud networking, and enabling reliable, secure environments for data engineering and analytics teams.Key Responsibilities Design, provision, and manage cloud infrastructure using Terraform Build and maintain CI/CD pipelines using Azure DevOps Provision and manage GCP infrastructure, including compute, storage, IAM, and networking Support and manage Azure infrastructure (VNets, networking, compute, storage) Design and implement network provisioning (VPC/VNet architecture, routing, firewalls, load balancers, private connectivity) Build and operate infrastructure for data platforms (data lakes, warehouses, streaming, analytics platforms) Provision and support AI/ML infrastructure, including GPU resources and AI platforms Implement security best practices, IAM, encryption, and compliance controls Optimize infrastructure for performance, reliability, and cost Collaborate with data engineering, analytics, and ML teams Document infrastructure, architecture, standards, and operational runbooks Required Skills & Qualifications Strong experience with Terraform (Infrastructure as Code) Experience with CI/CD pipelines, preferably Azure DevOps Strong hands-on experience with Google Cloud Platform (GCP) Solid understanding of cloud networking and network provisioning Experience supporting data platforms or large-scale data workloads Experience with AI/ML infrastructure Strong Linux and scripting skills (Bash, Python, etc.) Preferred / Nice to Have Hands-on experience with Azure infrastructure Experience with Kubernetes (GKE / AKS) Experience with data services such as BigQuery, Dataflow, Dataproc, Synapse, ADLS, Snowflake Monitoring and observability tools (Prometheus, Grafana, Cloud Monitoring) Multi-cloud experience and relevant certifications Why Join Us Work on modern data and AI platforms at scale Influence platform architecture and tooling decisions Collaborative, engineering-first culture Contractor Profile for 1K Agents Car 3 Role Summary We are looking for an experienced contractor who is highly proficient in Python and has practical experience developing AI-powered systems.The preferred candidate should have worked with AI agents, Model Context Protocol (MCP), modern data management techniques, and cloud platforms to create scalable, production-ready solutions.Core Responsibilities Design, build, and maintain Python based services and automation workflows Implement MCP for agent communication, control, and observability Build, transform, and manage data pipelines supporting AI and analytics use cases Deploy, monitor, and optimize solutions in cloud environments Collaborate with product, data, and engineering teams to deliver end-to-end solutions Ensure code quality, performance, security, and maintainability Required Technical Skills Python:Advanced proficiency; production experience with APIs, async processing, and testing AI / LLM Agents:Experience designing and implementing autonomous or semiautonomous AI agents (e.g., tool using agents, planners, orchestrators) MCP (Model Context Protocols):Experience with agent communication, coordination frameworks, or protocol driven AI architectures Data Management:Data modeling and data pipelines Working with SQL and NoSQL databases Experience with data quality, governance, and large scale datasets Cloud Experience:Hands on work in at least one major cloud platform (Azure, AWS, or GCP) Experience with cloud storage, compute, and managed services Familiarity with CI/CD and cloud native deployment patterns Preferred / Nice to Have Experience with vector databases and embeddings Familiarity with MLOps or LLMOps practices Experience with streaming data or event driven architectures Knowledge of security and compliance considerations for AI systems Prior work in enterprise or large-scale data management Healthcare or other data regulated experience preferred Engagement Characteristics Contractor is expected to work independently with minimal supervision Comfortable operating in fast moving, evolving technical environments Strong documentation and communication skills Experience collaborating with remote and cross functional teams Technical Skills AI/LLM Agent and MCP (Model Control Protocols) Google ADK, Copilot Studio Cloud Experience Google Cloud or Azure preferred.Database Knowledge BigQuery, Firestore, Cloud SQL, etc.Data pipeline Dataflow Power Automate Automation Tooling UI Path, etc.CI/CD Pipeline Azure DevOps Pipeline Infrastructure as Code (IaC) - Terraform Hours Per Day:8.00 Hours Per Week 40.00 Pay rate:$60/hr on W2.. Experience: 5 years required