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Senior Data Engineer

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Calabasas Hills (Hybrid), CA

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JOB DETAILS
SALARY
$140,000–$156,000 Per Year
SKILLS
Application Programming Interface (API), Best Practices, Business Operations, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Data Sets, Database Extract Transform and Load (ETL), Distributed Computing, Documentation, Enterprise Applications, Finance, Identify Issues, Information Technology & Information Systems, Information/Data Security (InfoSec), Inventory Reports, Loyalty Programs, Marketing, Mentoring, Messaging Middleware, Microsoft Windows Azure, Multitasking, Operational Improvement, Operational Strategy, Operational Support, Organizational Skills, Performance Tuning/Optimization, Point of Sale (POS) Systems, Problem Solving Skills, Python Programming/Scripting Language, Quality Monitoring, Query Optimization, Regulatory Compliance, Restaurant, Retail, Revenue/Sales Reporting, SQL (Structured Query Language), Scalable System Development, Scripting (Scripting Languages), Software Engineering, Supply Chain, System Operations, Team Player, Technical Strategy, Time Management, Use Cases
LOCATION
Calabasas Hills (Hybrid), CA
POSTED
30+ days ago
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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