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Added 2 months ago
Data Engineer
Lyft
Toronto, ON
As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the…
Added 2 months ago
Senior Lead Systems Engineer, AI & Automation
Braze
Toronto, ON
We're looking for a Senior Lead Systems Engineer who's passionate about building the next generation of enterprise technology through automation, software engineering, AI, and intelligent…
Added 3 months ago
Senior Principal Site Reliability Engineer
Questrade Financial Group
Toronto, ON
We’re looking for our next Senior Principal Site Reliability Engineer. Could It Be You?
Added 3 months ago
T
Principal AI Engineer - Tangerine
Tangerine
Toronto, Ontario
- Full-time
Extensive experience in Python and its core data science libraries (e.g., Scikit-learn, Pandas, NumPy, Matplotlib/Seaborn)
Added 3 months ago
F
Senior Software Engineer (SDE II - Python) - Hybrid/Toronto
Fulfil
Remote, Canada
- $180,000 to $200,000 CAD / year
- Full-time
- Remote
Fulfil is hiring a Senior Software Engineer (Python Backend) in Toronto to become a key technical partner for our North American customers, our India-based engineering team, and our Product…
Added 3 months ago
F
Senior Software Engineer (SDE II - Python) - Remote/Canada
Fulfil
Remote, Canada
- $160,000 to $180,000 CAD / year
- Full-time
- Remote
Fulfil is hiring a Senior Software Engineer (Python) for a Remote role (Canada) Toronto to become a key technical partner for our North American customers, our India-based engineering team,…
Added 4 months ago
T
Senior Software Engineer
Treewalk
Canada
- Full-time
…AI in the accounting and finance space. The Senior Software Engineer will be the hands-on architect and builder of the new systems shaping our business - and the technical counterpart to…
Added 3 months ago
BC
Senior Cloud Engineer - Google Cloud Platform (GCP)
BDO Canada
Toronto, Ontario
- Full-time
BDO Digital is looking for a Senior GCP Cloud Engineer to join their growing team. The individual will own the following responsibilities:
Added 3 months ago
Forward Deployed Agile Software Engineer
TribalScale
Toronto, ON
TribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery.
Added 3 months ago
Data Engineer I, Amazon Business Ops Analytics
Amazon
Toronto, ON · Vancouver, BC
- Experience with one or more scripting language (e.g., Python, KornShell)
Added 2 months ago
AI and Data - Manager - AI Engineer
EY
Toronto, ON
As AI Engineer, you will design and build production-grade AI and agentic AI solutions that solve real business problems for EY's clients. You are the core builder on the delivery team,…
Added 3 months ago
C
Sr. AI Engineer – Agentic Systems
Chubb
Toronto, ON
- Full-time
As a Senior AI Engineer on agentic systems you'll own the agent architectures that put our models in front of business users, and the work of making them reliable enough to stay there.…
Added 2 months ago
AI and Data - Senior Consultant - AI/ML Engineer
EY
Toronto, ON · Montreal, QC
Proficiency in Python and frameworks such as Tensorflow, PyTorch, or Scikit-learn.
Added 3 months ago
L
Digital Architect
Lightmatter
Toronto, Ontario
- Full-time
…intelligence computing clusters. If you're a collaborative engineer or scientist who has a passion for innovation, solving challenging technical problems, and doing impactful work like…
Added 3 months ago
SG
Lead Penetration Test Engineer
S&P Global
Toronto, Ontario
- $135,000 to $180,000 CAD / year
- Full-time
We are seeking a Lead Penetration Test Engineer with extensive experience in penetration testing and offensive security. The ideal candidate will conduct penetration tests, re-testing,…
Added 3 months ago
A
AI Engineer
ApiceFlow
Remote, Canada
- Full-time
- Remote
At ApiceFlow, we create intelligent software that brings AI into real business operations. We're looking for an AI Engineer who enjoys turning cutting-edge AI technologies into scalable,…
Added 3 months ago
KS
Data Scientist / Senior Data Scientist - Sports Modeling & Live Betting
Kero Sports
Remote, Canada
- $100,000 to $160,000 USD / year
- Full-time
- Remote
Strong Python experience, especially with pandas, NumPy, scikit-learn, XGBoost, or similar tools.
Added 4 months ago
SI
St Staff R&D Engineer
Synopsys Inc
Waterloo, Ontario
- Full-time
…Full stack development is second nature to you: you design Python backends, build Angular frontends, and understand exactly where the boundaries should be and why they matter. When…
Added 2 months ago
Sr. Software Engineer (Hardware)
Dialpad
Vancouver, BC
As a Software Engineer, you’ll be responsible for developing and maintaining features to enhance customers’ day-to-day communication experience. You’ll work closely with customers and…
Added 3 months ago
J
Senior Software Engineer, Applied AI (Netherlands)
Justworks
Toronto, ON
- €143,000 to €184,000 EUR / year
We are seeking a Senior Software Engineer with a strong passion for building AI-native systems in a product environment. The ideal candidate will be able to take ownership of large segments…
Added 2 months ago
Senior Software Engineer, Applied AI (Spain)
Justworks
Toronto, ON
We are seeking a Senior Software Engineer with a strong passion for building AI-native systems in a product environment. The ideal candidate will be able to take ownership of large segments…
Added 3 months ago
AM
SoC DFX Scan / ATPG Engineer
Advanced Micro Devices, Inc
Ottawa, ON
- Full-time
You are a motivated engineer with a strong understanding of DFT fundamentals and ASIC design flows. You enjoy solving complex technical challenges, applying strong analytical and debugging…
Added 3 months ago
Q
Engineer
Qualcomm
Markham, ON
- Full-time
QCT's DSP Physical Design Team is seeking motivated and talented Physical Design Engineer to join our growing team in Markham, Canada. In this role, you will contribute to the…
Added 3 months ago
Q
Senior ASIC Implementation Engineer, Low Power AI
Qualcomm
Markham, ON
- Full-time
We are looking for an ASIC Implementation Engineer to be part of our team to innovate and design complex leading, ultra-low power, solutions for audio and context aware applications. We are…
Added 3 months ago
G
Full Stack Software Engineer
Gumloop
Vancouver, BC
- Full-time
We're looking for an experienced Full Stack Engineer to ship product at the highest level. You'll own features end-to-end - design, build, test, deploy, and operate them in production. This…

Lyft

Data Engineer

Toronto, ON, Canada

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Applications open in a new tab.

Job details

Experience: 4+ years of professional experience in data engineering, ideally with large-scale distributed systems.
Posting language: English
Posted: Sep 4, 2026

Original job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection.

As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others.

Responsibilities:

Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
Evolve data model and data schema based on business and engineering needs
Implement systems tracking data quality and consistency
Develop tools supporting self-service data pipeline management (ETL)
SQL and MapReduce job tuning to improve data processing performance
Write well-crafted, well-tested, readable, maintainable code
Participate in code reviews to ensure code quality and distribute knowledge
Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions

Experience:

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
4+ years of professional experience in data engineering, ideally with large-scale distributed systems.
Strong skills in Spark, Python (or similar scripting language), and SQL performance tuning
Experience with AWS, Hadoop/S3, Hive, Presto, Airflow, and related tools
Solid understanding of ETL processes, workflow orchestration, and data warehousing
A collaborative mindset - you’re comfortable working across teams to solve real-world problems

Benefits:

Extended health and dental coverage options, along with life insurance and disability benefits
Mental health benefits
Family building benefits
Child care and pet benefits
Access to a Lyft funded Health Care Savings Account
RRSP plan with company match to help save for your future
In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

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More about this job

Responsibilities

The Data Engineer will own the core data modeling and pipelines that power the Safety and Customer Care platform. They will collaborate cross-functionally to scale data processing, ensure data quality, and develop tools for self-service pipeline management.

Requirements

Candidates must have a bachelor's degree in a technical field and at least 4 years of professional experience in data engineering. Proficiency in Spark, Python, SQL, and experience with distributed systems and ETL processes are required.

Skills

Data engineering
Data modeling
Data pipelines
Spark
Python
SQL
AWS
Hadoop
S3
Hive
Presto
Airflow
ETL
Data warehousing
Distributed systems
Performance tuning

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Health Care Savings Account
RRSP plan with company match
Flexible paid time off
Paid parental leave
Subsidized commuter benefits
Lyft ride credits

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Modeling
Data Pipelines
Spark
Python
SQL
AWS
Hadoop
S3
Hive
Presto
Airflow
ETL
Data Warehousing
Distributed Systems
Performance Tuning
Data Quality
Analytics
Data Science
Infrastructure
Software Engineering
MapReduce
Scripting
Workflow Orchestration
Business Intelligence

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