Senior Data Engineer

Job Description

Senior Data Engineer Salary Range: $140k to $156k
We are seeking a Senior Data Engineer to support data integration and platform initiatives within a large-scale, multi-unit restaurant organization. This role plays a critical part in enabling data flow across systems that support operations, digital ordering, supply chain, and customer analytics.


You will design and build scalable data solutions that power real-time and batch insights across hundreds or thousands of locations, helping drive operational efficiency and an improved guest experience.

Key Responsibilities

• Design, develop, and maintain scalable, fault-tolerant data pipelines to support high-volume transaction data from POS systems, digital platforms, and enterprise applications.
• Build and manage integrations between internal platforms and third-party systems (e.g., online ordering, delivery partners, supply chain vendors) using APIs, messaging queues, and iPaaS tools.
• Enable real-time and batch data processing to support use cases such as sales reporting, inventory tracking, labor optimization, and customer analytics.
• Collaborate with business stakeholders across operations, finance, marketing, and technology to translate business needs into scalable data solutions.
• Optimize cloud-based data platforms for performance, reliability, and cost efficiency.
• Design and maintain data models that support both operational reporting and advanced analytics.
• Implement data governance, security, and compliance standards across enterprise data systems.
• Maintain clear documentation of data architecture, pipelines, and integration patterns.
• Mentor junior engineers and contribute to best practices in data engineering and integration.
• Evaluate and implement modern data tools and platforms to improve scalability and operational maturity.
• Build and maintain CI/CD pipelines to support automated deployments and consistent delivery.
• Develop automation scripts to streamline data processing and system operations.

Required Qualifications

• 5+ years of experience in data engineering, preferably in high-volume, multi-location environments.
• Strong experience with cloud-based data platforms and integration tools (e.g., Azure Data Factory, cloud SQL systems, ETL frameworks).
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.
• Proficiency in SQL, Python, and data transformation techniques.
• Experience optimizing queries and tuning performance for large datasets.
• Hands-on experience with API integrations and distributed data systems.
• Familiarity with modern data platforms (e.g., Databricks, Snowflake, BigQuery, or similar).
• Experience with iPaaS tools and integrating external vendors or partner systems.
• Strong problem-solving and data troubleshooting skills.
• Excellent communication and cross-functional collaboration abilities.

Preferred Qualifications

• Experience in the restaurant, retail, hospitality, or franchise industries.
• Familiarity with POS systems, digital ordering platforms, or loyalty programs.
• Experience working with supply chain, inventory, or labor management data.
• Knowledge of additional cloud-native services (e.g., serverless compute, workflow orchestration tools).
• Experience building reusable frameworks for data quality, monitoring, and logging.
• Relevant cloud certifications in data or platform engineering.
• Experience mentoring engineers and contributing to technical strategy.

What Makes You Successful in This Role

• Operationally minded: Understands the importance of reliable data in supporting day-to-day restaurant operations.
• Deadline-driven: Delivers solutions on time in a fast-paced, high-demand environment.
• Collaborative: Works effectively across technical and non-technical teams.
• Highly organized: Manages multiple priorities across distributed systems and stakeholders.
• Adaptable: Thrives in an environment where priorities can shift quickly.
• Accountable: Takes ownership of delivering high-quality, reliable data solutions.

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