Software Engineer II
Instacart
Software Engineer II
Job Description
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
Required Qualifications
- Recent degree in a technology discipline such as Computer Science, Computer Engineering, or Electrical Engineering
- 2-4 years of work experience post-graduation in a technology field
- Experience working with distributed systems
- A strong sense of ownership and intellectual curiosity to understand problems in depth
- Previous experience building features end to end or publishing your own app
- Prior experience with Python, Ruby, React, PostgreSQL, Go
- Excellent collaborator who is able to work with teammates to objectively problem-solve
- Growth mindset - seeks and is receptive to actionable feedback and growth opportunities
- Takes accountability seriously; able to deliver responsibilities on time and on budget
- Self-motivated and thrives in a fast-paced environment
- Able to work in small teams with significant ownership and autonomy
Preferred Qualifications
- Previous experience in a fast-paced startup environment
- Data Engineering experience: designing and implementing data pipelines, optimizing data schemas, ensuring data quality & integrity
- Experience with NoSQL databases
- Experience with data streaming & big data technologies: Apache Spark, Airflow, Hadoop
Required Skills
- Python
- Ruby
- React
- PostgreSQL
- Go
- Distributed systems
- Data pipelines
- Data models
- NoSQL databases
- Apache Spark
- Airflow
- Hadoop
Benefits
- 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
- Learn from world class engineering leaders, many of whom are industry veterans with illustrative experiences in Google, Meta, Amazon, and other major tech companies
- Make an impact that directly helps millions of customers, retailers, brands, and shoppers, right from day one!
- 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
- Generous learning and development opportunities and an annual $1,000 Personal Professional Development stipend for you to grow your skills and career
- Opportunities available across the entire spectrum of SWE roles: data, frontend, backend, systems, infrastructure, optimization, and more!
- Highly market-competitive compensation and benefits
- Eligible for a new hire equity grant as well as annual refresh grants
Salary Range
$142000 - $158000 CAD
Locations
- Toronto, ON, Canada, Toronto, ON, United States
Salary
142,000 - 158,000 CAD / yearly
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
Software Engineer II
Instacart
Software Engineer II
Job Description
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
Required Qualifications
- Recent degree in a technology discipline such as Computer Science, Computer Engineering, or Electrical Engineering
- 2-4 years of work experience post-graduation in a technology field
- Experience working with distributed systems
- A strong sense of ownership and intellectual curiosity to understand problems in depth
- Previous experience building features end to end or publishing your own app
- Prior experience with Python, Ruby, React, PostgreSQL, Go
- Excellent collaborator who is able to work with teammates to objectively problem-solve
- Growth mindset - seeks and is receptive to actionable feedback and growth opportunities
- Takes accountability seriously; able to deliver responsibilities on time and on budget
- Self-motivated and thrives in a fast-paced environment
- Able to work in small teams with significant ownership and autonomy
Preferred Qualifications
- Previous experience in a fast-paced startup environment
- Data Engineering experience: designing and implementing data pipelines, optimizing data schemas, ensuring data quality & integrity
- Experience with NoSQL databases
- Experience with data streaming & big data technologies: Apache Spark, Airflow, Hadoop
Required Skills
- Python
- Ruby
- React
- PostgreSQL
- Go
- Distributed systems
- Data pipelines
- Data models
- NoSQL databases
- Apache Spark
- Airflow
- Hadoop
Benefits
- 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
- Learn from world class engineering leaders, many of whom are industry veterans with illustrative experiences in Google, Meta, Amazon, and other major tech companies
- Make an impact that directly helps millions of customers, retailers, brands, and shoppers, right from day one!
- 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
- Generous learning and development opportunities and an annual $1,000 Personal Professional Development stipend for you to grow your skills and career
- Opportunities available across the entire spectrum of SWE roles: data, frontend, backend, systems, infrastructure, optimization, and more!
- Highly market-competitive compensation and benefits
- Eligible for a new hire equity grant as well as annual refresh grants
Salary Range
$142000 - $158000 CAD
Locations
- Toronto, ON, Canada, Toronto, ON, United States
Salary
142,000 - 158,000 CAD / yearly
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