Senior Data Engineer, Lime
CA$136-187k
+ Offers Equity + Offers Bonus
Electric bike and scooter rentals
Be an early applicant
Electric bike and scooter rentals
1001+ employees
Be an early applicant
CA$136-187k
+ Offers Equity + Offers Bonus
1001+ employees
Company mission
To build a future where transportation is shared, affordable and carbon-free.
Role
Who you are
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field, or equivalent practical experience
- 5+ years of relevant industry experience in data engineering, distributed systems, or a related field
- A track record of independently delivering and operating significant production data products end to end
- Experience using AI-assisted development tools to support coding, debugging, testing, documentation, technical exploration, and analysis
- Ability to validate AI-assisted outputs, identifying risks and failure modes, protecting sensitive information, and knowing when deeper manual review is required
- Deep experience building and scaling cloud-based data platforms, preferably using AWS and Snowflake
- Expertise in developing, optimizing, and debugging complex data transformations using Python and high-performance SQL
- Strong understanding of data modeling, ETL/ELT architecture, schema design, and transformation frameworks such as dbt
- Experience designing reliable workflows using orchestration tools such as Airflow
- Hands-on experience with distributed processing or streaming technologies such as Spark, Flink, or Kafka
- Strong technical judgment and experience making trade-offs among performance, reliability, scalability, maintainability, and cost
- Experience establishing or improving data quality, testing, observability, lineage, and operational practices
- Familiarity with modern data governance practices, including cataloging, data classification, PII masking, privacy controls, and access management
- Experience writing technical design documents and communicating complex decisions to technical and non-technical stakeholders
- Experience with technologies such as Iceberg, Debezium, or infrastructure-as-code tools such as Terraform is a plus
What the job involves
- The Data Engineering team architects, builds, and scales the foundational data infrastructure that powers our global fleet’s analytics, machine learning models, and real-time business intelligence
- We are looking for a Senior Data Engineer to independently lead the delivery of reliable, scalable data products and solve difficult challenges in data quality, governance, and distributed processing
- This is a remote position with a requirement for candidates to reside in Canada to maintain effective collaboration across teams
- Own the end-to-end design, delivery, and operation of major data products, including high-throughput ETL/ELT pipelines, transformation workflows, and storage solutions
- Partner with engineering, product, and business stakeholders to clarify requirements, challenge assumptions, define pragmatic solutions, and drive projects from design through production launch
- Solve difficult data engineering problems by developing performance-tuned transformations and services using Python, high-performance SQL, and tools such as dbt
- Make sound technical trade-offs at the product level, balancing scalability, reliability, delivery speed, maintainability, and cost
- Author and drive technical designs and RFCs that clearly communicate architecture, alternatives, risks, and operational considerations
- Influence the technical direction of the data products you own and contribute to the team’s broader technical strategy and roadmap
- Set a high quality bar through thoughtful design and code reviews, automated testing, version-controlled schemas, and CI/CD practices for data pipelines
- Lead projects that improve the team’s engineering and operational excellence, including data observability, lineage, incident response, deployment safety, and developer productivity
- Design and operate scalable batch and real-time data solutions using technologies such as Spark, Flink, and Kafka
- Partner with the ML Platform team to deliver clean, reliable, and feature-rich datasets for model training and inference
- Advance data stewardship through strong documentation, discoverability, privacy controls, access management, and governance practices
- Lead postmortems for data incidents, identify systemic improvements, and drive corrective actions to completion
- Break complex projects into clear, deliverable work and help coordinate execution across engineers on the team
- Mentor other engineers, provide actionable technical feedback, and participate in interviewing and hiring
Application process
- If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page
Our take
In recent years, electric-powered mobility companies have attracted an extraordinary amount of interest and funding, in part due to rising eco-friendly sentiment, and in part because of the race to "find the next Uber". Lime is one such company, that has rapidly scaled across multiple geographies to be a key player in the fight for market leadership.
Lime, along with its competitors, has had to grapple with regulation in many of its target markets, but nonetheless has steadily increased its footprint. Since its launch, the company has facilitated millions of trips, making it one of the biggest companies of its kind. Interestingly, the CEO has stated that "cars are our true business rivals—not other scooter companies", suggesting that its biggest business challenge will be to get families to give up their second cars.
With a presence that spans an impressive number of regions - in 2023, Lime began operating in Qatar - the company has cemented itself in the micromobility market and stands to profit from the increasing popularity of these types of services. A substantial increase in ridership enabled Lime to achieve "free cash flow positivity" two years in a row, with suggestions it will pursue a US IPO in 2027.
Freddie
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Nov 2021
$523m
CONVERTIBLE
May 2020
$170m
SERIES E
Total funding: $1.5bn
Company benefits
- Disability insurance
- 401(k)
Company HQ
The East Cut, San Francisco, CA
Leadership
Toby
(Co-Founder & Board Advisor)Founder and CEO of ZERO&. Was a Marketing Manager at Pepsi for 6 years before doing an MBA at Berkeley. Moved into consulting and VC for 5 years before starting Lime.
Brad
(Co-Founder & Chairman)VP of Business Development at Tencent for 8 years. Managing Partner of a VC firm for 3 years, where he worked with Toby. Has an MBA from Berkeley.
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