Senior Data Engineer

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.