About Slickdeals:

On a mission to bring the joy of discovering a great deal to shoppers, Slickdeals thrives on the active participation of its 12-million-strong community. Users share, upvote, and uncover the best prices on popular products from trustworthy brands.

With a robust track record of 24 years in business, marked by profitability and a thriving community that has saved more than $10 billion, Slickdeals is currently undergoing a transformation. As we evolve into a daily shopping destination for millions more, joining Slickdeals presents an exciting opportunity for entrepreneurially minded builders to create an innovative deal discovery platform.

Technology plays a pivotal role in our efforts to discover and present the best online deals to our customers. The Shopping Graph team builds AI-enhanced platforms to construct a knowledge graph encompassing premium brands, merchants, and products on the internet. The Shopping Graph connects shoppers with products. It consolidates information from various shopping sources, allowing consumers to access comprehensive details about a product – including where to purchase it, pricing details, related videos, reviews, and its practical impact on their lives.

What You’ll Do:

Your responsibilities will include:

• Experience developing and deploying web applications, with a proven track record of shipping to market
• Architect and Develop Backend Systems: Collaborate closely with product managers to drive product innovations, design, develop, and maintain robust, scalable data systems, and data pipelines.
• Data Curation and Data Intelligence: Retrieve and scrape data from the public internet, classify, transform and curate raw data into structured and usable formats. Implement code to clean augment data and derive insights from data.
• Performance Optimization: Continuously optimize our backend systems for speed, efficiency, and scalability
• Collaboration: Collaborate with cross-functional teams including product managers, data analysts, and domain experts to understand their requirements and deliver actionable insights
• Quality Assurance: Implement best practices for quality monitoring, validation, and error handling to ensure data accuracy and reliability
• Documentation: Maintain comprehensive documentation for our systems and  processes, making it easy for team members to understand and use.
• Mentorship: Provide technical leadership and mentorship to junior engineers, fostering their growth and development
• Stay Current: Keep abreast of emerging technologies and industry best practices.

What We’re Looking For:

Required Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related engineering field
• Proficiency in programming languages such as Python, Javascript, Typescript, Go or Java
• Understanding of data storage and retrieval technologies in relational or NoSQL databases
• Excellent problem-solving skills and a passion for delivering high-quality data solutions
• Ability to diagram, articulate, and document data science and engineering concepts
• Strong communication and collaboration skills

Preferred Experience:

• Experience with asynchronous or event based systems. Working experience with Kafka or AWS SQS.
• Experience with cloud technologies in AWS or GCP as well as container systems such as Docker or Kubernetes
• Experience with data modeling, ETL processes, and data warehousing.
• Familiarity with orchestration tools such as Apache Airflow or AWS step functions

Flexible hybrid schedule visiting our San Mateo, Los Angeles, or Las Vegas office.