Who We Are:

We believe a workplace food program is something employees should love and look forward to every day. Powered by technology and a network of over 1,400 restaurants, Fooda feeds hungry people at work through our ongoing food programs located within companies and office buildings. Every day each Fooda location is served by a different restaurant that comes onsite and serves fresh lunch from their chef’s unique menu. Now with over 50 million meals sold, Fooda operates in major cities across the U.S. Eight out of ten employees believe Fooda is one of their company’s top perks.

Why Choose Fooda? 

Do you dream of complex problems that stretch your imagination and force you to grow as a problem solver? We are a close-knit product development team of engineers, PMs and data scientists, tackling technical problems around scaling, rapid user acquisition, machine learning and optimization challenges in every vertical, every single day.

Like most businesses, we have been impacted by the COVID-19 pandemic. We’re using this opportunity to expand into sectors like healthcare and manufacturing, and focus our team on the most impactful projects so we can serve our diners safely and help our restaurant partners weather this time. 

As we expand our technology platform and explore new market segments, we are breaking ground and building functional and useful products for independent restaurants across the country. This allows Fooda to help mom & pop shops expand their own businesses and deliver great food to people looking for more local and exciting food options.

About the Team:

Our Data Science & Analytics team is changing the way Fooda uses data. Do you want to get in on the ground floor of an analytics team at a high growth startup? The company has placed a huge strategic focus on building out our data science and analytics capabilities and you will be core to this growth. The team is responsible for all reporting & analytics for the company partnering closely with Product, Engineering, Sales, Marketing, Finance, and Operations to drive innovative analytic solutions.

Will you join us?

Position Opportunities and Responsibilities:

As a Data Engineer, you will work on the Data Science and Analytics team to drive and evolve the analytics solutions and data systems at Fooda. You will contribute to analytics decision making, analysis, and data integration to enable Fooda to become a world-class data driven organization.

What You Will Be Doing:

• Leverage Python and SQL to integrate and analyze data from internal and external systems that drive key business decisions throughout the organization
• Govern, analyze, and own data that drives stakeholders’ perception of the organization, which involves diving in, addressing questions, and perform root cause analysis of issues that arise within the data
• Develop ETL pipelines and data quality auditing systems using Airflow, Python, and SQL to create a cohesive, automated, and accurate data environment
• Assist in requirements gathering, design, and development of complex data systems that collect, analyze, and measure data throughout all business units
• Build automated data products and tools for internal and external stakeholders to drive engagement across Fooda
• Solve complex technical data problems to deliver insights and efficiencies to help the busines achieve growth goals across all functions
• Ingest, translate, and decode large volumes of data to enable a data driven culture across all levels of Fooda’s organization
• Collaborate with other members of the Data Team to ensure data integrity and quality of deliverables
• Consistently look for additional methods and ways to improve the data transformations and data consumption processes to ensure all internal systems are working efficiently

What You Should Already Have:

• 2 years of experience working in data engineering, business intelligence, or engineering
• Bachelor’s Degree (Preferably in a quantitative field such as:Information Systems, Computer Science, Statistics, or Mathematics)
• Experience analyzing and integrating data using Python and SQL to extract and transform data according to business rules and requirements
• Extensive knowledge and experience working with large scale data warehouse, web APIs, and database platforms to integrate internal and external data sources
• Experience with programing/scripting languages and data science tools (Airflow, Python, Java, Spark)
• Experience diving into data quality and data profiling analysis to ensure data consistency and accuracy across enterprise reporting
• Experience with AWS tools and infrastructure to build and maintain a robust data warehouse
• Strong attention to detail and the ability to think critically and solve problems using analytical and quantitative methodologies
• Strong oral/written communication skills, specifically the ability to communicate and translate difficult analytical problems to stakeholders with minimal analytics background
• Ability to work effectively in a high paced environment with multiple priorities

What We’ll Hook You Up With:

• Competitive market salary and stock options, based on experience
• Unlimited vacation
• Comprehensive health, dental and vision plans
• 401k retirement plan with company match
• Paid maternity and parental leave benefits
• Flexible spending accounts
• A fulfilling, challenging adventure of a work experience
• Lots of free food!

Must be authorized to work in the United States on a full-time basis. No phone calls or recruiters please.