GenAI Data Engineer — Cloud Data Pipelines (Remote)

Nelnet

Aurora (CO)

Remote

USD 115,000 - 135,000

Full time

12 days ago

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Benefits offered by this job

Medical, dental, vision

HSA/FSA

401K + matching

Student loan repayment

Tuition reimbursement

Wellness program

Employee stock purchase program

Disability insurance

Life insurance

Job summary

Nelnet is seeking a Data Engineer to own the data foundation underpinning GenAI solutions for higher education and SLED clients. You will build and maintain data pipelines, classification, and governance on Google Cloud to enable agentic AI.

Working with the GenAI delivery team, you translate requirements into production pipelines, ensure data is structured, access controlled, and FERPA-compliant before AI use. Strong SQL and Python required; Google Cloud certification preferred.

Qualifications

Hands-on experience building data pipelines and ELT/ETL for analytics or GenAI on a major cloud data platform.
Experience with data governance and classification tooling for identifying sensitive data such as FERPA.
Strong SQL skills and Python for pipeline development and data transformation.

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; optimize BigQuery usage and Dataflow jobs.