Remote GenAI Data Pipeline Engineer

Nelnet

Gering (NE)

Hybrid

USD 115,000 - 135,000

Full time

6 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
HSA/FSA contributions
401K + student loan repayment
Paid time off

Job summary

Nelnet is seeking a Data Pipeline Engineer to design, build, and maintain data pipelines on Google Cloud for GenAI use cases. You will ingest, transform, and serve client data with emphasis on data governance, FERPA considerations, and access controls.

Work within the GenAI delivery team to surface data readiness gaps and collaborate with GCP/Gemini engineers to ensure data structure and freshness for AI solutions.

Qualifications

  • Hands-on experience building data pipelines and ELT/ETL processes for analytics or GenAI use cases on a major cloud data platform.
  • Experience with data governance and classification tooling for identifying and managing sensitive or regulated data.
  • Strong SQL skills and experience with Python for pipeline development and data transformation.

Responsibilities

  • Design, build, and maintain data pipelines using BigQuery and Dataflow for GenAI use cases.
  • Build and maintain ELT/ETL processes for batch ingestion into Google Cloud analytics and RAG data stores.
  • Monitor pipeline reliability, performance, and cost; optimize BigQuery usage and Dataflow jobs.

Skills

SQL development
Python
Data governance
Data modeling
Communication
Team collaboration

Education

Bachelor’s degree or equivalent

Tools

BigQuery
Dataflow
Cloud Composer
Airflow
Dataplex
Cloud DLP
Google Cloud Professional Data Engineer

Job description

Nelnet is seeking a Data Pipeline Engineer to design, build, and maintain data pipelines on Google Cloud for GenAI use cases. You will ingest, transform, and serve client data with emphasis on data governance, FERPA considerations, and access controls.

Work within the GenAI delivery team to surface data readiness gaps and collaborate with GCP/Gemini engineers to ensure data structure and freshness for AI solutions.

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