We are looking for a hands-on, collaborative Senior Data Engineer to build pipelines that deliver data solutions primarily to Levy, our restaurants and stadium sector. The role involves designing, developing, and deploying scalable, resilient data pipelines using Snowflake, dbt, AWS, Fivetran, and other engineering tools.
Requirements
- Lead the design, development, and deployment of scalable, resilient data pipelines using Snowflake, dbt, AWS, Fivetran, and other engineering tools.
- Own and deliver technically complex, cross-functional data projects aligned with quarterly goals, navigating ambiguity with autonomy.
- Collaborate with reporting, analytics, and data science teams to understand business needs, data sources, and define requirements.
- Shape and influence architectural decisions, contribute to roadmap development, and champion best practices for ETL and engineering excellence.
- Gather, enrich, and transform data to drive actionable insights, ensuring infrastructure changes are well-documented and pipelines are robust and performant.
- Drive high standards for data and software quality through code reviews, documentation, and implementation of scalable, reusable solutions.
- Mentor junior engineers and apprentices, providing technical guidance, modeling craft, and fostering a culture of growth and inclusion.
- Proactively identify gaps in the data platform, recommend technical solutions, and advocate for improvements that enhance long-term sustainability.
- Support testing efforts by defining and validating criteria aligned with business expectations, ensuring future-proofed deliverables.
- Facilitate business alignment by clearly communicating the value and design of data solutions, incorporating user feedback to iterate.
- Collaborate with third-party vendors and cross-functional stakeholders to scope requirements and deliver value across teams.
- Take ownership of operational issues, proactively respond to incidents, and build safeguards that improve system resilience.
- Act as a strategic partner—breaking down complex projects into executable phases, setting realistic goals, and delivering customer impact.
- Participate in interviews and team-building efforts, helping to hire and level up a diverse, high-performing engineering team.
- Maintain awareness of Compass Group’s organizational structure and priorities, aligning data solutions to broader business goals.
Benefits
- Medical
- Dental
- Vision
- Life Insurance/ AD
- Disability Insurance
- Retirement Plan
- Paid Time Off
- Holiday Time Off (varies by site/state)
- Associate Shopping Program
- Health and Wellness Programs
- Discount Marketplace
- Identity Theft Protection
- Pet Insurance
- Commuter Benefits
- Employee Assistance Program
- Flexible Spending Accounts (FSAs)
- Paid Parental Leave
- Personal Leave
