Data Engineer

Arcotech

Completely RemoteFull TimeInformation Technology
Posted Yesterday

Job description

Responsibilities

  • Contribute to building AI-driven data products for the data ecosystem, including agents, chatbots, automatic query rewriting, and automated model and documentation generation
  • Help maintain reliable agentic systems by implementing validations and instrumenting observability (LangFuse and similar tools)
  • Evolve and maintain internal MCPs and integrations across tools such as dbt, Metabase, and Slack
  • Support technical decisions by running comparative experiments and gathering cost, latency, and quality data
  • Participate in code reviews, reviewing simpler changes and receiving feedback to grow quickly
  • Collaborate with adjacent teams including Data Platform and Analytics Engineering

Requirements

  • Python and SQL
  • Programming logic, algorithms, and data structures
  • Basic pipeline orchestration knowledge (Airflow, dbt, or Dataform)
  • Familiarity with a cloud solution
  • Basic understanding of system integration via APIs and webhooks

Preferred Qualifications

  • Experience with monitoring and observability
  • Exposure to LLMs and agentic systems, including prompt engineering, agents, tools, RAG, and MCP
  • Experience building robust integrations (APIs, webhooks, MCPs)
  • Claude Code skills
  • Docker, CI/CD, and infrastructure as code

Benefits

  • Meal and/or food allowance
  • Health and dental plan
  • Transportation allowance
  • Extended maternity and paternity leave
  • Childcare allowance
  • Wellness partnerships (Wellhub and Zenklub)
  • Education incentives
  • Airfare discounts
  • Pet health plan partnership
  • Access to Arco educational materials for employees' children
  • MBA and postgraduate partnerships

About the Company

Arcotech is the technology team of Arco Educação. They develop digital solutions so that students, parents, and schools can work together for more dynamic and effective learning.

Skills & tools

PythonSQLAirflowDBTCloudLLMRAGDocker

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Python e SQL
  2. 02Lógica de programação, algoritmos e estruturas de dados
  3. 03Noções de orquestração de pipelines (Airflow, dbt ou Dataform)
  4. 04Familiaridade com alguma solução de Cloud
  5. 05Noção de como integrar sistemas (APIs, webhooks)
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