Hybrid Process Automation Developer — Python & Data Pipelines

your Jared

Lincoln (NE)

Hybrid

USD 65,000 - 75,000

Full time

2 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
HSA/FSA
401K/student loan repayment
Life insurance & AD&D
Employee assistance program
Employee stock purchase program
Tuition reimbursement
Performance-based incentive pay
Disability insurance
Wellness program

Job summary

Nelnet is seeking a Process Automation Developer to design, implement, and support automation solutions that streamline processes and reduce risk across the organization. You’ll work with Engineers, Analysts, and data teams to build scalable Python-based workflows and data pipelines.

The role offers a hybrid, in-office/remote schedule within the Lincoln area, with a strong focus on collaboration, code quality, and human-in-the-loop practices to ensure reliable, compliant automation outcomes.

Qualifications

  • 1+ years of development experience in Python.
  • 1+ years of experience with front- or back-end data environments, data pipelines, ETL/ELT processes, and/or data analytics.

Responsibilities

  • Develops and supports technical automation solutions.
  • Continuously improves existing automation solutions for efficiency.
  • Provides technical support and troubleshooting to team members.
  • Executes automation tasks and projects independently when scoped by an Engineer.

Skills

Python programming
Data pipelines
ETL/ELT
APIs
SQL
Kanban
Testing
AI tooling
Data environments
Code quality

Education

Four-year college degree

Tools

SQL
Microsoft Office
AI tooling

Job description

Nelnet is seeking a Process Automation Developer to design, implement, and support automation solutions that streamline processes and reduce risk across the organization. You’ll work with Engineers, Analysts, and data teams to build scalable Python-based workflows and data pipelines.

The role offers a hybrid, in-office/remote schedule within the Lincoln area, with a strong focus on collaboration, code quality, and human-in-the-loop practices to ensure reliable, compliant automation outcomes.

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