We are looking for a hands-on, collaborative Senior Data Engineer to build pipelines that deliver data solutions to Levy, our restaurants and stadium sector. As a Senior Data Engineer, you will complete POCs, manage your time without oversight to complete tasks, and be a vocal contributor to team decisions.
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
