GenAI Data Engineer: Remote Pipelines & Governance

Nelnet; Eagan (MN); Remote; USD 115,000 - 135,000; Full time

Benefits offered by this job

Medical, Dental, Vision

HSA and FSA

Earned time off

401K/student loan repayment

Life insurance & AD&D

Employee assistance program

Employee stock purchase program

Tuition reimbursement

Performance-based incentive pay

Short- and long-term disability

Wellness program

Job summary

Nelnet in the United States seeks a Data Pipeline Engineer to own data pipelines and governance for GenAI solutions serving higher education and public sector clients. You will build ELT/ETL processes on BigQuery and Dataflow, ensure data is classified and access-controlled, and partner with GCP/Gemini teams.

This role emphasizes data readiness, FERPA compliance, and collaboration across engineering, analytics, and client teams.

Qualifications

• Hands-on experience building data pipelines and ELT/ETL processes for analytics or GenAI use cases on a major cloud data platform.
• Direct experience with BigQuery and Dataflow (or Cloud Composer/Apache Airflow) strongly preferred.
• Experience with data governance and classification tooling for identifying sensitive or regulated data.

Responsibilities

• Design, build, and maintain data pipelines using BigQuery and Dataflow to ingest, transform, and serve client data for GenAI use cases.
• Classify and tag client data with Dataplex and DLP to identify FERPA-protected data prior to AI use.
• Define data access controls and governance for higher education and SLED data sensitivity.

Skills

BigQuery

Dataflow

Airflow

Python

SQL

GCP

Data governance

FERPA awareness

Data security

Education

Bachelor's degree in related field

Tools

Cloud Data Loss Prevention (DLP)

Dataplex

Collibra

Alation

Job description

Nelnet in the United States seeks a Data Pipeline Engineer to own data pipelines and governance for GenAI solutions serving higher education and public sector clients. You will build ELT/ETL processes on BigQuery and Dataflow, ensure data is classified and access-controlled, and partner with GCP/Gemini teams.

This role emphasizes data readiness, FERPA compliance, and collaboration across engineering, analytics, and client teams.