Gradient AIHiring

Senior QA Data Engineer

  • Remote, worldwide
  • Senior
  • Posted 2 weeks ago
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In one line

Fully remote role building automated data quality checks across a pipeline that feeds insurance pricing and underwriting products. Senior level, on an agile team.

About the role

Customer data quality is the problem to solve: catching issues before they reach production and making new pipelines covered by default. The work replaces manual per-customer validation with checks that run on every data refresh.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, worldwide
Seniority
Senior
Skills
SQL, Python, Airflow, dbt, Soda, Databricks, Delta Lake, CI/CD
Posted
20 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Write checks as code with dbt tests, Soda or custom SQL, kept in version control and CI
  • Validate loads for completeness, sequencing and schema, halting or quarantining failures

What they look for

  • 5+ years in quality assurance with a strong backend automated testing focus
  • Hands-on experience with Soda, dbt or similar data testing frameworks
  • Strong SQL, with Spark SQL a plus, and familiarity with Python
  • Experience with Airflow or similar orchestration and with Databricks or another lakehouse
  • Comfortable with version control and CI/CD, and with functional, integration and regression testing

How Keywordise applies for you

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  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 4Application sentYou get a receipt and follow it in your dashboard.

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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 Senior QA Data Engineer as a remote role open to candidates worldwide.

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 senior role. The posting asks for: 5+ years in quality assurance with a strong backend automated testing focus; hands-on experience with Soda, dbt or similar data testing frameworks; strong SQL, with Spark SQL a plus, and familiarity with Python. Skills it names include SQL, Python, Airflow, dbt.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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