Job Description

Locations

• Toronto, ON, Canada, Toronto, ON, United States

Salary

Skills Required

• Pythonintermediate
• Rubyintermediate
• Reactintermediate
• PostgreSQLintermediate
• Gointermediate
• Distributed systemsintermediate
• Data pipelinesintermediate
• Data modelsintermediate
• NoSQL databasesintermediate
• Apache Sparkintermediate
• Airflowintermediate
• Hadoopintermediate

Required Qualifications

• Recent degree in a technology discipline such as Computer Science, Computer Engineering, or Electrical Engineering (experience)
• 2-4 years of work experience post-graduation in a technology field (experience)
• Experience working with distributed systems (experience)
• A strong sense of ownership and intellectual curiosity to understand problems in depth (experience)
• Previous experience building features end to end or publishing your own app (experience)
• Prior experience with Python, Ruby, React, PostgreSQL, Go (experience)
• Excellent collaborator who is able to work with teammates to objectively problem-solve (experience)
• Growth mindset - seeks and is receptive to actionable feedback and growth opportunities (experience)
• Takes accountability seriously; able to deliver responsibilities on time and on budget (experience)
• Self-motivated and thrives in a fast-paced environment (experience)
• Able to work in small teams with significant ownership and autonomy (experience)

Preferred Qualifications

• Previous experience in a fast-paced startup environment (experience)
• Data Engineering experience: designing and implementing data pipelines, optimizing data schemas, ensuring data quality & integrity (experience)
• Experience with NoSQL databases (experience)
• Experience with data streaming & big data technologies: Apache Spark, Airflow, Hadoop (experience)

Responsibilities

• Design, build, validate, and ship high quality product features with a strong sense of urgency, efficiency, and ownership
• Work closely with product managers, designers, data scientists, and peer engineering teams to define project requirements and execution plans
• Ensure that system designs including APIs, deployment architecture, and dependency selection result in highly scalable, robust solutions that minimize support costs and improve an outstanding customer experience
• Contribute broadly to Instacart's success by exercising your freedom to suggest and drive organization-wide initiatives
• Work within a team that manages petabytes of data used by hundreds of people across the company for the core product, machine learning, reporting, analysis, and much more
• Design, develop, and maintain highly efficient data pipelines for ingesting, transforming, and delivering data from various sources
• Design and build data models and work together with application engineers to ensure the collection of high quality data

Benefits

• general: Flexibility to work remotely several days a week and work out of a state of the art office in the heart of Toronto's Liberty Village
• general: Learn from world class engineering leaders, many of whom are industry veterans with illustrative experiences in Google, Meta, Amazon, and other major tech companies
• general: Make an impact that directly helps millions of customers, retailers, brands, and shoppers, right from day one!
• general: Gain exposure to how a world class engineering team works, from sprint planning to shipping code, as well as close cross-functional collaborations with Product, UX, Business, Data Science, and other partners
• general: Generous learning and development opportunities and an annual $1,000 Personal Professional Development stipend for you to grow your skills and career
• general: Opportunities available across the entire spectrum of SWE roles: data, frontend, backend, systems, infrastructure, optimization, and more!
• general: Highly market-competitive compensation and benefits
• general: Eligible for a new hire equity grant as well as annual refresh grants

Tags & Categories