Remote GenAI Data Engineer - Cloud Pipelines & Governance

Nelnet

Alliance (NE)

Hybrid

USD 115,000 - 135,000

Full time

6 days ago
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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 while ensuring governance and compliance for higher education data.

Responsibilities include ELT/ETL for batch data, monitoring pipeline performance, and partnering with GCP/Gemini teams to ensure data readiness for AI applications. A strong data engineering background is required.

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.
  • Strong SQL skills and experience with Python for pipeline development and data transformation.
  • Familiarity with FERPA and higher-education data privacy considerations.

Responsibilities

  • Design, build, and maintain data pipelines using BigQuery and Dataflow to ingest, transform, and serve client data 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, optimizing BigQuery usage and Dataflow jobs as engagements scale.

Skills

SQL development
Python
Data governance
BigQuery
Dataflow
Airflow
Dataplex
Cloud DLP
IAM

Education

Bachelor’s degree in related field

Tools

BigQuery
Dataflow
Cloud Composer
Airflow
Dataplex
DLP
Collibra
Alation

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 while ensuring governance and compliance for higher education data.

Responsibilities include ELT/ETL for batch data, monitoring pipeline performance, and partnering with GCP/Gemini teams to ensure data readiness for AI applications. A strong data engineering background is required.

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