Amerilife US, LLCHiring

Data & AI Engineer

  • Remote, United States
  • Mid-level
  • Posted 3 days ago
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In one line

Hands-on data engineering role on an enterprise data and AI platforms team, building pipelines on Databricks and automating manual work.

About the role

The team moves legacy data environments onto cloud-native architecture so analytics, reporting and automation can run at enterprise scale. Good work means reusable frameworks and fewer manual steps.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
Python, PySpark, SQL, Databricks, Delta Lake, Unity Catalog, SSIS, ETL
Posted
26 Oct 2026
Last checked
28 Oct 2026

What you will do

  • Build and maintain ingestion, transformation and integration pipelines in Databricks with PySpark, Python and SQL
  • Set up pipelines on Lakehouse and Medallion layers, from Bronze through Gold
  • Write modular, metadata-driven ETL and ELT frameworks that other engineers can reuse
  • Move legacy SQL Server, SSIS and warehouse workloads onto Databricks
  • Tune pipelines for speed, reliability and cost, using Delta Lake, Unity Catalog and Workflows

What they look for

  • Strong hands-on Python, PySpark and SQL skills
  • A solid base in modern data engineering practice
  • A habit of spotting repetitive manual work and automating it
  • Comfort integrating structured and semi-structured data from databases, APIs and files
  • Curiosity and a bias toward shipping code that solves problems

Nice to have

  • Experience with AI-assisted development tooling

How Keywordise applies for you

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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 mid-level role. The posting asks for: strong hands-on Python, PySpark and SQL skills; a solid base in modern data engineering practice; a habit of spotting repetitive manual work and automating it. Skills it names include Python, PySpark, SQL, Databricks.

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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