Hybrid Data Engineer: Snowflake & ELT Pipelines

Nelnet, Inc.; Lincoln (NE); Hybrid; USD 100,000 - 115,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401K/Student loan repayment

Life insurance & AD&D

Job summary

Nelnet, Inc. is hiring a Data Engineer to design and automate data infrastructure for scalable storage and reliable access for analytics and operations.

You will refine the data platform, optimize data capture, transformation, and modeling within data warehouses to support structured data access. The role collaborates with Analysts, Product Owners, and Developers to build robust ELT pipelines, ensure data quality, and own critical data flows, with a hybrid work option and visa sponsorship not

Qualifications

• Bachelor’s Degree or equivalent experience.
• Experience with data integration tools (Python, Rivery, dbt, PowerBI Dataflows).
• Proficiency in SQL and Snowflake features.
• Understanding of data modeling (star/snowflake schemas).

Responsibilities

• Build, maintain, and optimize data pipelines.
• Design Snowflake databases and schemas for analytics workloads.
• Extract, parse, clean, and validate data from multiple sources.
• Implement scalable ELT pipelines and ensure data quality.
• Collaborate with analysts, engineers, and stakeholders.
• Own critical data pipelines and respond to data gaps or failures.
• Support data models and data movement across systems.
• Assist with data platform design discussions.

Skills

SQL

ELT pipelines

Python

PowerBI

Data modeling

Education

Bachelor’s Degree or equivalent experience

Tools

Snowflake

dbt

Rivery

PowerBI Dataflows

Job description

Nelnet, Inc. is hiring a Data Engineer to design and automate data infrastructure for scalable storage and reliable access for analytics and operations.

You will refine the data platform, optimize data capture, transformation, and modeling within data warehouses to support structured data access. The role collaborates with Analysts, Product Owners, and Developers to build robust ELT pipelines, ensure data quality, and own critical data flows, with a hybrid work option and visa sponsorship not