Restaurant365 is a young SaaS company disrupting the restaurant industry! Our cloud-based platform provides a unique, centralized solution for accounting and back-office operations for restaurants. Restaurant365’s culture is focused on empowering team members to produce top-notch results while elevating their skills. We’re constantly evolving and improving to make sure we are and always will be “Best in Class” ... and we want that for you too!

In 2019 Restaurant365 closed $88 million in Series C funding, bringing the total minority investment by Bessemer Venture Partners, ICONIQ Capital, and Tiger Global Management to $140 million, to support the company's vision of providing the best technology to the restaurant industry. As recently as June of 2021, Restaurant365 announced the acquisition of Compeat, a well-known provider of restaurant back office, workforce, and business intelligence software. Adding Compeat’s feature-rich products advances Restaurant365 further on the journey toward our goal of providing restaurant operators with a powerful tool that simplifies their lives and increases their profits. Serent Capital was added to our investor list as a result of this transaction.

Our diverse portfolio of clients includes well-known nationwide franchises as well as your favorite local spot.  From fine dining to fast-casual…R365 does it all!

Restaurant365 is looking for an experienced Data Engineer to join our data warehouse team that enables the flow of information and analytics across the company. The Data Engineer will participate in the engineering of our enterprise data lake, data warehouse, and analytic solutions. This is a key role on a highly visible team that will partner across the organization with business and technical stakeholders to create the objects and data pipelines used for insights, analysis, and executive reporting.  You will have the exciting opportunity to shape and grow with a new team and the modern data foundation that enables the data-driven culture to fuel the company’s growth. 

How you'll add value:

• Participate in the overall architecture, engineering, and operations of a modern data warehouse and analytics platforms.
• Design and develop the objects in the Data Lake and EDW that serve as core building blocks for the semantic layer and datasets used for reporting and analytics across the enterprise.
• Develop data pipelines, transformations (ETL/ELT), orchestration, and job controls using repeatable software development processes, quality assurance, release management, and monitoring capabilities.
• Partner with internal business and technology stakeholders to understand their needs and then design, build and monitor pipelines that meet the company’s growing business needs.
• Look for opportunities for continuous improvements that automate workflows, reduce manual processes, reduce operational costs, uphold SLAs, and ensure scalability.
• Use an automated observability framework for ensuring the reliability of data quality, data integrity, and master data management.
• Partner closely with peers in Product, Engineering, Enterprise Platforms, and InfoSec teams on the shared enterprise needs of a data lake, data warehouse, semantic layer, transformation tools, BI tools, and machine learning.
• Responsible for ensuring platforms, products, and services are delivered with operational excellence and rigorous adherence to ITSM process and InfoSec policies.
• Adopt and follow sound Agile practices for the delivery of data engineering and analytics solutions.
• Embrace ambiguity and other duties as assigned.

What you'll need to be successful in this role:

• Bachelor’s degree in Computer Science, Management Information Systems, or equally relevant degree or an equivalent combination of education and applicable work experience
• 5 years of engineering experience in enterprise data warehousing, data engineering, business intelligence, and delivering analytics solutions
• Industry experience preferences from the technology sector (SaaS, software, B2B) or restaurant sector
• Deep understanding of current technologies and design patterns for data warehousing, data pipelines, data modeling, analytics, visualization, and machine learning
• Solid understanding of modern distributed data architectures, data pipelines, API pub/sub services
• Experience engineering for SLA-driven data operations with responsibility for uptime, delivery, consistency, scalability, and continuous improvement of data infrastructure
• Ability to understand and translate business requirements into data/analytic solutions
• Extensive experience with Agile development methodologies
• Prior experience with at least one: Snowflake, BigQuery, Synapse, Databricks, or Redshift
• Highly proficient in both SQL and Python for data manipulation and assembly of Airflow DAG’s.
• Experience with cloud administration and DevOps best practices on AWS and GCP and/or general cloud architecture best practices, with accountability cloud cost management
• Strong interpersonal, leadership and communication skills, with the ability to relate technical solutions to business terminology and goals
• Ability to work independently in a remote culture and across many time zones and outsource partners

R365 Team Member Benefits & Perks

• Competitive compensation package
• Ability to work remote or hybrid
• Comprehensive medical benefits
• 401k + matching
• Equity Option Grant
• Unlimited PTO + Company holidays
• Wellness initiatives
• Philanthropy events

Why join our amazing team?

• We're a community that prides itself in creating innovative solutions and producing quality work
• Our product is the secret ingredient that makes a real difference to restaurants nationwide
• The open concept work environment that we've created is causal, collaborative, and cultivates communication


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R365 was founded by an experienced team of software & finance veterans committed to developing an all-inclusive back-office solution. We help restaurants thrive! R365 is an Equal Opportunity Employer and we encourage all forward-thinkers who embrace change and possess a positive attitude to apply.