Hybrid Data Platform Engineer — Pipelines & Analytics

Southeastern University; Lakeland (FL); Híbrido; USD 95.000 - 135.000; Tempo integral

Resumo da vaga

Southeastern University in Lakeland, FL seeks a Data Platform Engineer to design, build, and maintain scalable data pipelines, models, and analytics-ready datasets. You will partner with IT, Analytics, Institutional Research, Enrollment, Finance, and others to convert complex operations data into trusted assets that enable proactive decision-making.

The role emphasizes data governance, security, FERPA awareness, and self-service analytics via modern platforms.

Qualificações

• Bachelor's degree in a relevant field or equivalent professional experience.
• Experience building or supporting data pipelines, data warehouses, data lakes, or analytics platforms.
• Strong SQL, Python, and data modeling skills with a focus on governance and accuracy.

Responsabilidades

• Design, build, and maintain scalable data pipelines from core systems to the data warehouse, lakehouse, or analytics environment.
• Develop and maintain data models using SQL, dbt, and related modern data platform tools.
• Create governed, analytics-ready datasets for reporting, dashboards, and operational workflows.
• Support data warehouse/lakehouse architecture and enable self-service analytics for stakeholders.
• Implement data quality checks, lineage, and documentation to ensure trust in data assets.
• Collaborate with stakeholders to translate business rules into clear data transformations.

Conhecimentos

SQL

Python

dbt

Data modeling

Data pipelines

Git

Communication

Formação

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field

Ferramentas

Git

dbt

Descrição da vaga

Southeastern University in Lakeland, FL seeks a Data Platform Engineer to design, build, and maintain scalable data pipelines, models, and analytics-ready datasets. You will partner with IT, Analytics, Institutional Research, Enrollment, Finance, and others to convert complex operations data into trusted assets that enable proactive decision-making.

The role emphasizes data governance, security, FERPA awareness, and self-service analytics via modern platforms.