[Hiring] Data Engineer Ssr / Sr @OneSeven Tech

Role Description

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.

Qualifications

• 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

Requirements

• 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

Benefits

• 💵 $[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)