BuildertrendHiring

Senior Data Engineer, Data Platform

  • USD 130,000 to 160,000 per year
  • Remote, United States
  • Senior
  • Posted 2 weeks ago
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In one line

Senior data engineering role moving a company's analytics stack onto a Databricks lakehouse with dbt; remote in the US or hybrid from the Midwest.

About the role

Ownership of the lakehouse migration: replacing scattered legacy systems with one dependable source of truth, and setting the standards later engineers build on.

At a glance

Pay
USD 130,000 to 160,000 per year
Remote scope
Remote, United States
Seniority
Senior
Skills
Databricks, dbt, Fivetran, SQL Server, Salesforce, Unity Catalog, Tableau, BigQuery
Posted
17 Oct 2026
Last checked
1 Nov 2026

What you will do

  • Design and run the Databricks lakehouse in bronze, silver and gold layers with dbt.
  • Set layer standards, naming rules and build conventions that other engineers follow.
  • Build ELT pipelines with Databricks, dbt and Fivetran pulling from SQL Server, Salesforce, MongoDB, Gong and OpenTelemetry.
  • Move pipelines off BigQuery and Data Fusion by refactoring them, untangling circular dependencies and repointing Tableau.
  • Add dbt tests, freshness checks and Unity Catalog metrics so people trust the numbers.

What they look for

  • Five or more years in data engineering, data science or analytics.
  • Production experience with Databricks: pipelines, jobs, clusters and Unity Catalog.
  • Hands-on dbt work at production level.
  • B2B SaaS background preferred.

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Claude

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Connector URL
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ChatGPT

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Connector URL
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Muse

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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?

The posting lists it as remote for people in the United States.

What does this job pay?

The posting states USD 130,000 to 160,000 per year.

What experience is needed?

It is a senior role. The posting asks for: five or more years in data engineering, data science or analytics; production experience with Databricks: pipelines, jobs, clusters and Unity Catalog; hands-on dbt work at production level. Skills it names include Databricks, dbt, Fivetran, SQL Server.

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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