Python Team Lead

We’re reinventing the market research industry. Let’s reinvent it together.

At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.

Numerator provides unparalleled consumer insights at a massive scale. Our technology harnesses data through the application of gamified mobile apps and sophisticated web crawling technology to deliver an unmatched view of consumer shopping and purchase experience.

Numerator is looking for a passionate Engineering Team Lead to join our Receipt Processing Team. As part of our Receipt Processing Team tools team, you will be responsible for our receipt transcription system that has processed over a billion receipts and adds millions every week. This is a high growth and impactful role that will give you tons of opportunity to drive decisions for projects from inception through production.

If you are seeking an environment where you get to do meaningful work with other great engineers, then we want to hear from you!

What You'll Bring to Numerator

What You’ll get to do

• Help to create the design, architecture, and execution of everything from backend APIs to data processing and databases.
• Make decisions about code design, architecture, and refactoring to balance technical debt against delivering functionality.
• Lead a medium sized engineering team to take projects from conception to completion.
• Work with stakeholders to identify project risks and recommend mitigating solutions.
• Collaborate with our cross-functional team to build powerful and easy-to-use products.
• Architectural designs and decisions, to improve the availability of the system
• Maintaining the system in general, on-call bug-fixing for mission critical issues
• Mentor junior-intermediate engineers and perform code reviews.
  
  

Example Projects

• Build out and expand the framework for the rules engine transcription of our receipts data to in leverage the inherent structure and spacing of the tabular data in a receipt.
• Hire new team members and assist in the growth and development of those in your team and others.
• Build out a data QA process to approve the output of both our machine learning algorithms, and our hundreds of data associates attributing products.
• Refactor our backend to optimize for scale as the number or receipts we need to process continues to grow.
  
  

Our Tech Stack

• Web: HTML, Javascript, CSS, Angular.
• Backend: Python, Django, Aurora Mysql, Redis.
• Distributed Computing: Celery, Airflow, Azkaban, RabbitMQ
• Data Warehouse: Snowflake
• Infrastructure: AWS EC2, Kubernetes, Docker, Helm, Terraform
  
  

Requirements

• Have 8+ years of experience in a backend or full stack role.
• Programming experience in Python, or another object-oriented language.
• An eagerness to learn new things, and improve upon existing skills, abilities, and practices.
• Familiarity with web technology, such as HTTP, JSON, HTML, and JavaScript UIs.
• Experience with databases, SQL or NoSQL.
• Knowledge in an Agile software development environment,
• Experience with version control systems (Git, Subversion, etc..).
• Have a real passion for clean code and finding elegant solutions to problems.
• Knowledge and abilities in python and cloud-based technologies.
• Motivation to participate in ongoing learning and growth through pair programming, test-driven development, code reviews, and application of new technologies and best practices.
• You look ahead to identify opportunities and foster a culture of innovation.
• BS in Computer Science or a related field, or equivalent work experience.
• Knowledge of Kubernetes and Docker development
  
  

Nice to haves

• Previous experience leading an engineering team.
• Experience in UI frameworks React, Angular.
• Experience with REST services and API design.
• Knowledge of TCP/IP sockets
• Programming experience on Unix based infrastructure.
• Knowledge of cloud-based systems (EC2, Rackspace, etc..).
• Expertise with big data, analytics, and personalization.
• Start-up or CPG industry experience.