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

OneSeven Tech (OST); Argentina; A distancia; ARS 54.204.077 - 77.434.396; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

$3,500 – $5,000/month

Fully Remote

Paid PTO

Referral Program

Descripción de la vacante

A leading digital product agency is looking for a skilled Data Engineer to design, build, and maintain cloud-native data pipelines across AWS services. The successful candidate will have strong Python skills and extensive hands-on experience with AWS, Terraform, and Docker. This fully remote role offers competitive compensation and the opportunity to work at the forefront of AI-driven products while operating in a fast-paced environment.

Formación

• Strong Python skills for data processing and API consumption.
• Extensive experience with AWS services like Lambda and S3.
• Proficient in Terraform for effective infrastructure management.
• Solid understanding of Docker and containerization practices.
• Familiarity with index creation in Pinecone.

Responsabilidades

• Design and maintain cloud-native data pipelines on AWS.
• Manage infrastructure-as-code using Terraform.
• Build vector search workflows in Pinecone.
• Implement authentication flows using AWS Cognito.
• Monitor and manage pipeline health via CloudWatch.

Conocimientos

Strong Python skills

Hands-on AWS experience

Terraform for infrastructure-as-code

Docker

Pinecone

Experience with embedding models

MCP protocol experience

REST API consumption

Git/GitHub

JSON schema design

Retry and error handling patterns

Clear English communication

Descripción del empleo

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.