Staff Data Engineer — Scale Data Pipelines & Leadership

The Score; United States; Hybrid; USD 160,000 - 205,000; Full time

Benefits offered by this job

Competitive compensation

Education reimbursements

Career progression

Mentoring

Job summary

PENN Entertainment, Inc. is seeking a Staff Data Engineer to partner with Data Services, Analytics Engineering, Product and Business stakeholders to deliver scalable data solutions.

You will design data models, build and maintain pipelines with BigQuery, dbt and Airflow, mentor teams, and drive governance, quality, and observability across the data platform.

The role offers remote and hybrid options in the United States with competitive compensation and opportunities for career growth.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Statistics, Information Systems, Business, or a related field.
• 8+ years of experience in data engineering, analytics engineering, or related disciplines.
• Hands-on expertise with cloud data platforms and modern data tooling.

Responsibilities

• Design and deliver scalable data solutions in collaboration with stakeholders.
• Build and maintain scalable data pipelines for analytics, reporting, product, and operations.
• Develop, test, and optimize dbt models following data modeling best practices.
• Manage orchestration platforms like Airflow and Dagster exposure.
• Design and implement dimensional, semantic, and analytical data models for self-service analytics.
• Drive data architecture decisions and establish engineering standards.
• Mentor data engineers and contribute to Code reviews and architecture discussions.
• Support governance, data quality, and observability initiatives.

Skills

Data leadership

Stakeholder comms

Data modeling

ETL/ELT design

Mentoring

Cloud data platforms

Python

SQL

Looker

Education

Bachelor's degree in CS/Data/Related field

Tools

dbt

Airflow

BigQuery

Python

SQL

Git

Looker

Tableau

Job description

PENN Entertainment, Inc. is seeking a Staff Data Engineer to partner with Data Services, Analytics Engineering, Product and Business stakeholders to deliver scalable data solutions.

You will design data models, build and maintain pipelines with BigQuery, dbt and Airflow, mentor teams, and drive governance, quality, and observability across the data platform.

The role offers remote and hybrid options in the United States with competitive compensation and opportunities for career growth.