Senior Data Engineer

penninteractive; United States; Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Education & conference reimbursement

Mentoring and career progression

Job summary

penninteractive is seeking a data/analytics engineer to build and validate transformed data products that support business needs. You will work across pipelines, analytics, and stakeholder support within a sports, betting, and casino entertainment context.

The role emphasizes data quality, team practices, and adoption of data exploration tools, with opportunities for mentoring and career growth.

Qualifications

• University degree required in CS, statistics, business, or related field.
• 4+ years in data engineering or analytics engineering.
• Experience with BigQuery, dbt, Airflow, Python, and relational databases.
• Strong SQL skills and track record building data pipelines.

Responsibilities

• Identify data projects with business partners and define analytics opportunities.
• Develop and maintain SQL transformations and dbt models; manage Airflow workflows.
• Collaborate with data engineers to build pipelines and troubleshoot data issues.
• Analyze data and present clear, actionable recommendations to stakeholders.

Skills

BigQuery

dbt

Airflow

Python

SQL

Relational databases

Stakeholder management

Problem-solving

Education

University degree in computer science, statistics, business, or a related field

Tools

Looker

Mode

Job description

Role overview

Build and validate transformed data products that answer business needs as part of a data services team. The work spans pipeline development, analytics, and stakeholder support, with a senior contribution to data quality, team practices, and adoption of data exploration tools. The role sits in a sports, betting, and casino entertainment context.

Responsibilities

• Work with business partners to identify data projects and opportunities for analysis.
• Develop and maintain SQL transformations and dbt models, and manage scheduled workflows in Airflow.
• Partner with data engineers to build pipelines and troubleshoot data issues.
• Analyze data and present clear, useful recommendations to business stakeholders.
• Review team analysis to help ensure that reported data and insights are accurate and informative.
• Support adoption of data exploration tools, and contribute to hiring, onboarding, mentoring, and ongoing development of data engineering colleagues.

Requirements

• At least four years of experience in data engineering or analytics engineering.
• Practical experience with BigQuery, dbt, Airflow, Python, and relational databases.
• Strong SQL skills and a record of building and improving data transformation pipelines.
• Ability to manage stakeholder relationships and keep project work aligned and transparent.
• Adaptable, pragmatic problem‑solving skills suited to a fast‑paced environment.
• University degree in computer science, statistics, business, or a related field.

Nice to have

• Experience with a data exploration platform such as Looker or Mode.
• Interest in sports and consumer products.

Benefits and work setup

• Competitive compensation, education and conference reimbursement, and opportunities for career progression and mentoring.
• The listing identifies both remote and hybrid work arrangements; specific setup is not further described.