GenAI Data Engineer — Remote Cloud Pipelines & Governance

Nelnet; Aurora (CO); Hybrid; USD 115,000 - 135,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

HSA/FSA

401K

Employee stock purchase plan

Tuition reimbursement

Paid time off

Wellness program

Job summary

Nelnet is seeking a Data Pipeline Engineer to design, build, and maintain data pipelines on Google Cloud for GenAI initiatives, ensuring data is classified, governed, and ready for AI use. You will partner with GCP/Gemini teams to deliver compliant, scalable data assets.

The role emphasizes ELT/ETL development, data governance, and collaboration across enterprise data teams to support education and public sector clients with secure data handling.

Qualifications

• Hands-on experience building data pipelines and ELT/ETL processes for analytics/GenAI use cases on a major cloud platform.
• Strong SQL skills and Python for pipeline development and data transformation.
• Experience with data governance and classification tools (Dataplex, DLP) and compliance considerations (FERPA).

Responsibilities

• Design, build, and maintain data pipelines using BigQuery and Dataflow for GenAI use cases.
• Develop ELT/ETL processes for batch ingestion into analytics stores.
• Monitor pipeline performance, cost, and reliability; ensure data readiness and governance.

Skills

SQL development

Python scripting

Data governance

GenAI data eng

Cloud data engineering

Education

Bachelor’s degree or equivalent

Tools

BigQuery

Dataflow

Cloud Composer

Dataplex

Cloud DLP

Collibra

Alation

SSIS

JIRA

Job description

Nelnet is seeking a Data Pipeline Engineer to design, build, and maintain data pipelines on Google Cloud for GenAI initiatives, ensuring data is classified, governed, and ready for AI use. You will partner with GCP/Gemini teams to deliver compliant, scalable data assets.

The role emphasizes ELT/ETL development, data governance, and collaboration across enterprise data teams to support education and public sector clients with secure data handling.