Remote GenAI Data Engineer — BigQuery/Dataflow Specialist

Nelnet

Fort Morgan (CO)

On-site

USD 115,000 - 135,000

Full time

7 days ago
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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
HSA
FSA
Earned time off
401K
Student loan repayment
Life insurance
AD&D insurance
Employee assistance program
Stock purchase program
Tuition reimbursement
Incentive pay
Disability insurance
Wellness program

Job summary

Nelnet is seeking a Data Engineer to own the data foundation for GenAI solutions in higher education and public sector clients. You will design and operate data pipelines on Google Cloud, ensure data is classified, governed, and access-controlled for AI use, and partner across engineering teams to deliver reliable data for agentic AI experiences.

Responsibilities include ELT/ETL development, data quality assurance, and collaboration on data structure for RAG pipelines.

Qualifications

  • Bachelor’s degree in related field or equivalent work experience.

Responsibilities

  • Design, build, and maintain data pipelines for GenAI use cases on Google Cloud.
  • Classify and tag data for AI readiness with Dataplex and DLP to identify sensitive data.
  • Define data access controls and governance policies for education and public sector data.
  • Architect data models and schemas for current and reusable patterns across engagements.
  • Deliver data pipelines under backlog and coordinate with engineers for AI readiness.
  • Collaborate with GCP/Gemini Enterprise Engineering and AgentOps on data structure and security.

Skills

Data pipelines
BigQuery
Dataflow
ETL/ELT
Python
SQL
GCP
Data governance
FERPA

Education

Bachelor’s degree

Tools

Dataplex
Cloud Data Loss Prevention
Airflow
BigQuery

Job description

Nelnet is seeking a Data Engineer to own the data foundation for GenAI solutions in higher education and public sector clients. You will design and operate data pipelines on Google Cloud, ensure data is classified, governed, and access-controlled for AI use, and partner across engineering teams to deliver reliable data for agentic AI experiences.

Responsibilities include ELT/ETL development, data quality assurance, and collaboration on data structure for RAG pipelines.

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