What is Slice?

Slice is the leading technology and marketing platform made exclusively for local pizzerias, making it super easy to order delicious, authentic local pizza anywhere, anytime. We serve the $45 billion U.S. pizzeria market in two ways: by providing a pizza-centric mobile and web ordering experience for consumers, and by empowering local restaurants with the technology, tools, and marketing to grow their business, while helping them compete with Big Pizza. Can you imagine what a small mom and pop pizza shop could achieve with the resources of Domino’s?

The Role

We are looking for a business savvy Data Engineer to join our growing team of analytics experts. You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. You will support our software developers, business-intelligence and data scientists on data initiatives and will ensure optimal data delivery. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even building a new component of our company’s data architecture to support our next generation of products and data initiatives. We believe in tested automation of pipelines. The member of our team should not only be agile in producing the data pipelines, but able to test those pipelines to ensure a robust and stable platform, without data leakage and with understanding of the expected outcome.

What you'll do:

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build and support the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and DevOps teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure
• Create data tools for analytics and data scientist team members which assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

What we're looking for:

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 2+ years of experience in a Data Engineer role.
• They should also have experience with the types of technology represented below, but do not need to be the exact named-software:
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.

History of Slice:

Slice was born in 2010 and has quietly bootstrapped its way to building a network of more than 11,000 pizzerias nationwide. Ilir Sela, our founder and CEO, started the company as a passion project to help his friends and family in the pizza business, but he quickly saw a massive opportunity to champion these small businesses by bringing their craft to the masses. Ilir has since built an amazing team of operators, marketers, technologists, and investors — all dedicated to making it easier for people to enjoy their favorite local pizza while helping local shops succeed. 

Our Pizza Philosophy

Slice is on a journey to be the most valuable pizza brand on the planet. We connect makers and eaters to enrich their lives through the power of specialization and pizza expertise. Backed by generations of knowledge and cutting-edge technology, we give makers the platform and voice to take charge of their industry, expand their coverage, and fill the world with authentic cuisine. When passionate makers turn their craft into their livelihood, we all live happier, fuller lives. People stop accepting the homogenous, mass-produced pies of big chains and robotic trucks because the quality, variety, and authenticity of Slice is both hyper-convenient and known worldwide. We believe pizza isn’t just food. It’s a slice of community, a slice of culture, a slice of life. 

We’re growing our family every day — so, if you’ve got a passion for local, authentic pizza and the drive to help share it with the world, we’d love to have you on the team! Check out a few awards we’ve recently won for our workplace and culture: Inc., Crain's, BuiltinNYC

Slice is an Equal Opportunity Employer and is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.