Lime

Data Engineer

Canada

Sponsorship not specifiedDetected 49 days ago

PythonSQLAWSTerraformCI/CDKafkaMachine LearningSparkdbtData EngineeringAI OrchestrationCollaboration

About the role

A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership.
The base salary range listed reflects what Lime reasonably expects to offer for this role, with the final base salary determined by objective factors such as the candidate's location and relevant skills and experience.
Not sure if you meet all the qualifications?

Design, build, and maintain high-throughput ETL/ELT pipelines for data ingestion, processing, and storage solutions.
Develop complex, performance-tuned data transformations using Python, high-performance SQL, and tools like dbt.
Contribute to our technical strategy and how we can scale to support future business needs
Implement data ops best practices, including CI/CD for data pipelines, version-controlled schemas (dbt), and automated testing.
Help drive data reliability and observability strategy, including improving data quality and lineage tracking.
Work with distributed processing systems like Spark, Flink, or Kafka to support scalable batch and real-time operational analytics.
Partner with the ML Platform team to prepare and provide clean, feature-rich datasets for model training and inference.
Expertise in developing and debugging complex data transformations using Python and high-performance SQL.
That's why we're dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences.
As a global leader in micromobility, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free.

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field.
2+ years of experience in data engineering and distributed systems.
Experience with workflow orchestration tools such as Airflow.
Understanding of data modeling, ETL pipelines, and experience with data transformation tools like dbt.
Experience with Iceberg, Debezium, or Infrastructure-as-Code tools like Terraform for managing data infrastructure.

Hands-on experience building and scaling data stacks on cloud providers (AWS preferred), including experience with Snowflake.

The base salary range listed reflects what Lime reasonably expects to offer for this role, with the final base salary determined by objective factors such as the candidate's location and relevant skills and experience.
Depending on the position, the total compensation package may also include discretionary annual performance bonus opportunities and equity, subject to applicable plan terms and eligibility requirements.

Lime is proud to be an Equal Opportunity Employer.
If you require a reasonable accommodation during the application or hiring process, please email recruiting-operations@li.me for assistance.

This listing is sourced directly from Lime's careers page and normalized into a canonical job model.