Data Engineer Ssr / Sr — Python, AWS, Terraform, Pinecone

Description

Summary: This role involves owning the design, deployment, and reliability of end-to-end data pipelines for AI-driven products in a fast-moving environment. Highlights: 1. Own the data foundation for AI products, not maintaining legacy systems 2. Work at the AI/data intersection: vector search, embeddings, MCP integrations 3. High ownership and high impact, shaping product architecture directly **Location:** Remote — Argentina, Colombia, México, Chile, Uruguay Job Type: Full\-time contract Date Posted: March, 2026 Project Brief We're building a cloud\-native data infrastructure powering AI\-driven products — from ingestion pipelines and vector search to MCP\-based integrations and multi\-tenant architectures. You'll own the design, deployment, and reliability of data pipelines end\-to\-end, working across AWS, Terraform, and Pinecone in a fast\-moving environment where architectural decisions matter and ownership is real. Must\-Haves * Strong Python skills — Lambda functions, scripting, API consumption, and data processing pipelines * Hands\-on AWS experience across: Lambda, S3, API Gateway, ECS/Fargate, Secrets Manager, Cognito, CloudWatch, and SQS \+ DLQ * Terraform for infrastructure\-as\-code — remote state with S3 \+ DynamoDB, modular resource definitions, and multi\-environment management * Docker — containerization, Dockerfile hardening, and ECS task image builds * Pinecone — index creation, namespace design for multi\-tenancy, metadata schema, upsert logic, and hybrid search configuration * Experience with embedding models and ETL/data transformation pipelines * MCP protocol experience — FastMCP SDK, Streamable HTTP transport, tool definition * REST API consumption — Cognito\-authenticated requests, response parsing, and S3 persistence * Git/GitHub — trunk\-based branching, semantic PRs, and branch\-per\-feature workflows * JSON schema design for pipeline service contracts and API response structures * Retry and error handling patterns — exponential backoff and failure architecture * Clear English communication and ability to work independently with minimal supervision Nice to Have * Incremental update and change detection logic for pipeline efficiency * CloudWatch alarm design and pipeline health dashboards * Content\-hash deduplication for embedding cost optimization * Lambda memory and concurrency tuning * VPN site\-to\-site configuration * LangChain / LangGraph experience * Prompt engineering fundamentals * GitHub Actions — CI/CD pipeline setup and deployment automation * Marketing Business Acumen What You Will Do * Design, build, and maintain cloud\-native data pipelines across AWS Lambda, S3, ECS/Fargate, and SQS * Manage and evolve infrastructure\-as\-code using Terraform across multiple environments * Build and optimize vector search workflows in Pinecone — including multi\-tenant namespace design, metadata schemas, and hybrid search * Develop and improve MCP server integrations using FastMCP SDK and Streamable HTTP transport * Implement and harden authentication flows using AWS Cognito and Secrets Manager * Monitor pipeline health via CloudWatch — log groups, alarms, and observability for Lambda and ECS * Apply cost modeling discipline — flag and mitigate high\-cost operations (e.g. embedding calls at scale) * Work within an established SA governance model, contributing to architectural decisions with clear documentation and standards * Collaborate with engineering and applied science teams to deliver reliable, scalable data infrastructure Why This Could Be Your Next Big Move * Own the data foundation — You're not maintaining legacy systems. You're designing the infrastructure that AI products are built on top of. * Work at the AI/data intersection — Vector search, embeddings, MCP integrations, and multi\-tenant architectures. This is where data engineering and AI meet. * ️ Deep AWS stack — Lambda, ECS, Cognito, SQS, Secrets Manager and more — a real opportunity to broaden and deepen your cloud expertise across a full production stack. * High ownership, high impact — Fast\-moving environment where your architectural decisions shape the product directly, with visibility across the entire engineering org. Benefits \& Compensation * $\[3,500] – $\[5,000]/month — paid in USD, bi\-weekly via Deel * Fully Remote — work from anywhere in Latin America * Full\-time contract with a U.S. company — 6\-month initial term, full\-time conversion * ️ Paid PTO — competitive package, grows with tenure * Referral Program — earn a bonus for referring talent that gets hired To Apply Please send your resume in English. **Include the following depending on your role:** * LinkedIn Profile URL (required) * GitHub Portfolio or code samples — show us your pipeline and infrastructure work (required) * ✉️ Cover Letter — tell us about a data pipeline or cloud architecture you built and the impact it had (optional but encouraged) About OneSeven Tech Founded by James Sullivan, OneSeven Tech is a premier digital product agency serving startups and enterprises. Our clients have collectively raised over $100M in VC, and our enterprise partners include 2,000\+ person hospitality groups and NASDAQ\-listed companies. We work fully remote, move fast with 1\-week sprints, and focus on elegant solutions to complex problems.