A global cloud technology companyHiring

Analytics Engineer

  • Remote, Latin America
  • Mid-level
  • Posted 3 days ago
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In one line

Analytics Engineer is a mid-level remote role in Latin America at a global cloud technology company.

About the role

Hundreds of people across the company depend on this platform each month, and the role keeps its models, pipelines and access controls in good shape so analysts can stay on analysis.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, Latin America
Seniority
Mid-level
Skills
BigQuery, dbt, Terraform, Airflow, Cloud Composer, Fivetran, CI/CD, RBAC
Posted
26 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Share ownership of platform engineering: routine model changes, the backlog, onboarding new sources and CI/CD upkeep
  • Build, test and maintain models and pipelines behind dashboards, finance and investor reporting and an AI analytics layer
  • Keep role-based access controls, data catalog metadata and documentation current
  • Strengthen testing, observability and alerting so issues surface early
  • Support Airflow DAGs and dbt builds, tag models for the right schedule and debug failures in Cloud Composer

What they look for

  • Experience treating data models like production code, with tests and monitoring
  • Hands-on work with BigQuery, dbt and Terraform
  • Familiarity with Airflow and Cloud Composer orchestration
  • Comfort with CI/CD maintenance and infrastructure operations
  • A habit of automating any manual task done twice

Nice to have

  • Experience with Fivetran connectors
  • Work across many business domains such as finance, sales or HR

How Keywordise applies for you

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ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

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ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.

Muse is available in the US only for now.

Prompt
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How to connect

Questions about this job

Is this a remote job, and where can I work from?

Yes. The posting lists Analytics Engineer as a remote role for candidates in Latin America.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a mid-level role. The posting asks for: experience treating data models like production code, with tests and monitoring; hands-on work with BigQuery, dbt and Terraform; familiarity with Airflow and Cloud Composer orchestration. Skills it names include BigQuery, dbt, Terraform, Airflow.

How do I apply with Keywordise AI?

Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.

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A global cloud technology companyRemote, Latin America
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