Remote Senior Data Engineer — Sports & Gaming Pipelines

Wwshemi; United States; Remote; USD 92,000 - 124,000; Full time

Benefits offered by this job

Competitive compensation package

Fun, relaxed work environment

Education and conference reimburse mеn

Opportunities for career progression

Job summary

PENN Entertainment, Inc. is seeking a Senior Data Engineer to join the Data Services team. You will build, validate and deliver transformed data to meet stakeholder requirements, using SQL, dbt, Airflow and Python across North America.

You will liaise with stakeholders, design data pipelines, and mentor peers while driving data quality and adoption of a data exploration tool. This role offers remote work with competitive compensation.

Qualifications

• Strong SQL skills and an analytical mindset.
• Hands-on with BigQuery, dbt, Airflow, Python, and relational databases.
• Proven track record building and optimizing data transformation pipelines.
• Excellent stakeholder relationship management and transparent project lifecycles.
• Experience with Looker or Mode as a data exploration tool.
• Interest in sports and consumer products.

Responsibilities

• Identify data-driven projects and opportunities with stakeholders.
• Build data pipelines and resolve related data issues.
• Develop dbt models using SQL.
• Manage Airflow tasks and scheduling.
• Mentor team members and support hiring and onboarding.
• Present analyses and recommendations to business stakeholders.
• Oversee data analyses to ensure accuracy and informative insights.

Skills

SQL

Analytical mindset

Education

University degree in Computer Science, Statistics, Business, or related field

Tools

BigQuery

dbt

Airflow

Python

Relational databases

Job description

PENN Entertainment, Inc. is seeking a Senior Data Engineer to join the Data Services team. You will build, validate and deliver transformed data to meet stakeholder requirements, using SQL, dbt, Airflow and Python across North America.

You will liaise with stakeholders, design data pipelines, and mentor peers while driving data quality and adoption of a data exploration tool. This role offers remote work with competitive compensation.