GenAI Data Engineer – Remote, BigQuery & Dataflow

Nelnet; Olympia (WA); Remote; USD 115,000 - 135,000; Full time

Job summary

Nelnet is seeking a Data Pipeline Engineer to design, build, and maintain data pipelines and governance frameworks for GenAI use in higher education and public sector settings. You will work on Google Cloud technologies and ensure data is secure, classified, and ready for AI consumption.

The role emphasizes ELT/ETL development, data quality, and collaboration with GCP/Gemini teams, with a hybrid remote/work schedule and a compensation range of $115,000–$135,000 annually.

Qualifications

• Experience building data pipelines and ELT/ETL for analytics/GenAI on a major cloud data platform.
• Strong SQL skills and Python for pipeline development and data transformation.
• Experience with data governance and classification tooling to identify sensitive data and ensure compliance.

Responsibilities

• Design, build, and maintain data pipelines using BigQuery and Dataflow for GenAI data use cases.
• Ingest, transform, and serve client data; implement ELT/ETL processes for batch ingestion.
• Define data readiness and governance suitable for higher education and public sector data.

Skills

Data pipelines

SQL

Python

Data governance

Effective communication

Education

Bachelor’s degree or equivalent

Tools

BigQuery

Dataflow

Cloud Composer/Apache Airflow

Dataplex

DLP

Job description

Nelnet is seeking a Data Pipeline Engineer to design, build, and maintain data pipelines and governance frameworks for GenAI use in higher education and public sector settings. You will work on Google Cloud technologies and ensure data is secure, classified, and ready for AI consumption.

The role emphasizes ELT/ETL development, data quality, and collaboration with GCP/Gemini teams, with a hybrid remote/work schedule and a compensation range of $115,000–$135,000 annually.