Aimpoint DigitalHiring

Lead Data Engineer

  • Remote, United States
  • Lead
  • Posted 7 days ago
In one line

Lead data engineering role at a fully remote consultancy, designing AI-ready data platforms for clients across many industries.

About the role

Client work spans warehouses, lakehouses and pipelines that feed LLM analytics; the engineer also helps shape the practice and win new business.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Skills
Snowflake, Databricks, dbt, Fivetran, SQL, Python, Spark, Git
Posted
22 Oct 2026
Last checked
27 Oct 2026

What you will do

  • Design and build cloud data warehouses, lakehouses, ETL and ELT pipelines and orchestration jobs
  • Create semantic and analytical layers that support LLM analytics, natural language querying and agent workflows
  • Write production SQL, Python and Spark code using Git and CI/CD practices
  • Advise clients from data owners to executives and turn business questions into data architectures
  • Lead small project teams and contribute to internal accelerators and practice patterns

What they look for

  • Five or more years with relational databases and query languages
  • Five or more years building production data pipelines across structured, semi-structured and unstructured data
  • Five or more years of data modeling such as star schema, entity-relationship or data vault
  • Five or more years writing maintainable Python and Scala code
  • Degree in computer science, engineering, mathematics or equivalent experience
  • Comfort managing stakeholders and communicating clearly in writing and speech

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Connector URL
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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?

No pay range is stated in the posting.

What experience is needed?

It is a lead role. The posting asks for: five or more years with relational databases and query languages; five or more years building production data pipelines across structured, semi-structured and unstructured data; five or more years of data modeling such as star schema, entity-relationship or data vault. Skills it names include Snowflake, Databricks, dbt, Fivetran.

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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