Senior Data Engineer: Data Pipelines, SQL & Looker (Sports)

Penn Interactive; United States; Remote; USD 130,000 - 175,000; Full time

Benefits offered by this job

Competitive compensation package

Education and conference reimbursemen

Career progression and mentoring

Job summary

Penn Interactive is seeking a Senior Data Engineer to partner with the Data Services team. You will build, validate and deliver transformed data to meet stakeholder requirements, leveraging SQL, dbt, Airflow and Python. A strong data-centric background and interest in sports betting and casino games are required.

You will liaise with stakeholders, develop pipelines, and mentor peers while driving accuracy and adoption of data tools across the organization.

Qualifications

• University degree in Computer Science, Statistics, Business, or related field.
• 4+ years of experience in analytics engineering/data engineering.
• Hands-on expertise with BigQuery, dbt, Airflow, Python, and relational databases.
• Proven track record building and optimizing data transformation pipelines.
• Strong ability to manage relationships with internal and external stakeholders.
• A pragmatic, adaptive approach to problem solving in fast-paced environments.
• Experience with Looker or Mode as data exploration tools.
• Interest in sports and consumer products.

Responsibilities

• Liaise with business stakeholders to identify data-driven projects and opportunities.
• Collaborate with data engineers to build data pipelines and resolve issues.
• Use SQL to develop dbt models and manage data transformations.
• Oversee Airflow tasks and scheduling.
• Mentor team members and contribute to hiring and onboarding.
• Present analyses and actionable recommendations to stakeholders.

Skills

Data engineering

SQL

Analytics

Stakeholder management

Fast-paced environment

Sports interest

Education

Bachelor’s degree in Computer Science, Statistics, Business, or related field

Tools

BigQuery

dbt

Airflow

Python

Relational databases

Job description

Penn Interactive is seeking a Senior Data Engineer to partner with the Data Services team. You will build, validate and deliver transformed data to meet stakeholder requirements, leveraging SQL, dbt, Airflow and Python. A strong data-centric background and interest in sports betting and casino games are required.

You will liaise with stakeholders, develop pipelines, and mentor peers while driving accuracy and adoption of data tools across the organization.