Data Ops Engineer — Hybrid (Snowflake & ETL)

Purdue Alumni Student Experience (PASE); West Virginia; Hybrid; USD 110,000 - 130,000; Full time

Benefits offered by this job

Paid holidays

Vacation days

403(b) & Roth

HSA

Dental & Vision insurance

Tuition discounts

Job summary

Purdue For Life Foundation seeks a Data Operations Engineer for a hybrid role based near West Lafayette, IN. Design scalable data pipelines, manage data initiatives, ensure data quality, governance, and reliable operations across campus systems and cloud platforms.

You will mentor teammates, lead cross-functional projects, and collaborate with stakeholders to translate strategic objectives into technical solutions. Proficiency in Snowflake, SQL, Python, and ETL/ELT is required.

Qualifications

• 3-5 years of experience in enterprise data integration and data pipelines.
• Bachelor's degree required.
• Snowflake platform experience required.
• Advanced SQL and data modeling skills.
• Experience with metadata management and data privacy.

Responsibilities

• Design and implement scalable data pipelines across campus systems, cloud platforms, and APIs.
• Manage medium to large data initiatives coordinating across teams.
• Implement data integration standards and automated validation.
• Maintain monitoring practices to improve pipeline reliability.
• Analyze complex data challenges and improve data ecosystem performance.
• Lead data governance and ensure data is accessible and trusted.

Skills

Snowflake platform

Data warehousing

SQL

Python

Cross-functional teamwork

Data governance

ETL/ELT design

Education

Bachelor's degree

Tools

Salesforce CRM

Informatica

Skyvia

Job description

Purdue For Life Foundation seeks a Data Operations Engineer for a hybrid role based near West Lafayette, IN. Design scalable data pipelines, manage data initiatives, ensure data quality, governance, and reliable operations across campus systems and cloud platforms.

You will mentor teammates, lead cross-functional projects, and collaborate with stakeholders to translate strategic objectives into technical solutions. Proficiency in Snowflake, SQL, Python, and ETL/ELT is required.