Lime

1 month ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build and scale foundational data infrastructure that powers global fleet analytics, machine learning, and real-time business intelligence. Design high-throughput ETL/ELT pipelines, develop performance-tuned transformations with Python, SQL, and dbt, and implement data ops practices like CI/CD, automated testing, and lineage/observability. Partner with the ML Platform team and use distributed systems (Spark/Flink/Kafka) and cloud data stacks (AWS, Snowflake) to ensure reliable, governed data access.

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain high-throughput ETL/ELT pipelines for data ingestion, processing, and storage.
•Develop performance-tuned data transformations using Python, high-performance SQL, and dbt.
•Implement data ops best practices including CI/CD, version-controlled dbt schemas, and automated testing.
•Improve data reliability and observability, including data quality and lineage tracking.
•Work with distributed processing systems (Spark, Flink, Kafka) and partner with the ML Platform team to provide feature-rich datasets for training and inference.

Pay and Benefits

Salary: CAD 121,000 - 147,000 annually

Equity and Bonus:Equity

Key Requirements

•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.
•Hands-on experience building and scaling data stacks on cloud providers (AWS preferred), including Snowflake.
•Expertise developing and debugging complex data transformations using Python and high-performance SQL.
•Experience with workflow orchestration (e.g., Airflow) and distributed processing technologies like Spark, Flink, or Kafka.

Experience:2+ years

Education:

Tech Stack:PythonSQLDbtCI/CDAWSSnowflakeAirflowSparkFlinkKafkaIcebergDebeziumTerraformETL/ELTData governanceLineage trackingPII masking

Company Brief

Lime

Lime operates a global shared electric vehicle network offering e-bikes and e-scooters for short urban trips, partnering with cities and platforms to expand micromobility and reduce car usage.

Industry: Mobility Platforms

Company Size: Large (251 to 1,000 employees)

Revenue: USD 500M to 1B

Growth: Scaleup

Valuation: USD 500M to 1B

Funding: Private Equity Backed

Headquarters: San Francisco, United States

Founded: 2017

Glassdoor: 3.3

Website LinkedIn Glassdoor

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Lime

1 month ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain high-throughput ETL/ELT pipelines for data ingestion, processing, and storage.
•Develop performance-tuned data transformations using Python, high-performance SQL, and dbt.
•Implement data ops best practices including CI/CD, version-controlled dbt schemas, and automated testing.
•Improve data reliability and observability, including data quality and lineage tracking.
•Work with distributed processing systems (Spark, Flink, Kafka) and partner with the ML Platform team to provide feature-rich datasets for training and inference.

Pay and Benefits

Salary: CAD 121,000 - 147,000 annually

Equity and Bonus:Equity

Key Requirements

•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.
•Hands-on experience building and scaling data stacks on cloud providers (AWS preferred), including Snowflake.
•Expertise developing and debugging complex data transformations using Python and high-performance SQL.
•Experience with workflow orchestration (e.g., Airflow) and distributed processing technologies like Spark, Flink, or Kafka.

Experience:2+ years

Education:

Tech Stack:PythonSQLDbtCI/CDAWSSnowflakeAirflowSparkFlinkKafkaIcebergDebeziumTerraformETL/ELTData governanceLineage trackingPII masking

Company Brief

Lime

Lime operates a global shared electric vehicle network offering e-bikes and e-scooters for short urban trips, partnering with cities and platforms to expand micromobility and reduce car usage.

Industry: Mobility Platforms

Company Size: Large (251 to 1,000 employees)

Revenue: USD 500M to 1B

Growth: Scaleup

Valuation: USD 500M to 1B

Funding: Private Equity Backed

Headquarters: San Francisco, United States

Founded: 2017

Glassdoor: 3.3

Website LinkedIn Glassdoor