SerhantHiring

Principal Data Engineer

  • Remote, United States
  • Lead
  • Posted 8 days ago
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In one line

Principal data engineering role on a remote US team, building lakehouse pipelines and ClickHouse analytics that feed the company's products.

About the role

Lakehouse architecture and the analytics layer are yours to shape, from pipeline design to data quality. Work sits with product and engineering partners, and specs come before code.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Skills
ClickHouse, Python, TypeScript, Azure, Airflow, dbt, Kafka
Posted
22 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Design lakehouse architecture on open-source components
  • Tune ClickHouse deployments for heavy analytical queries
  • Write ETL and ELT transforms with open-source tooling

What they look for

  • Five or more years in data or analytics engineering
  • Hands-on ClickHouse work: deployment, schema design, materialized views
  • Lakehouse patterns such as Iceberg, Delta Lake or Hudi
  • Python and SQL at a deep level, plus TypeScript for service integration

Nice to have

  • Contributions to open-source data projects
  • Familiarity with data contracts and schema registries

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

Can I do this job remotely, and from which countries?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a lead role. The posting asks for: five or more years in data or analytics engineering; hands-on ClickHouse work: deployment, schema design, materialized views; lakehouse patterns such as Iceberg, Delta Lake or Hudi. Skills it names include ClickHouse, Python, TypeScript, Azure.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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