Lime

2 days ago

Senior Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Build and run scalable data products that power Lime’s global fleet analytics, machine learning, and real-time business intelligence. Own end-to-end ETL/ELT pipelines, transformations, and storage solutions, partnering with engineering, product, and business stakeholders from design to production launch. Create reliable batch and streaming systems using Python, SQL, dbt, Airflow, Spark, Flink, and Kafka, and improve data quality, governance, observability, and incident response.

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Own end-to-end design, delivery, and operation of major data products, including high-throughput ETL/ELT pipelines and storage solutions.
•Develop performance-tuned transformations and services using Python, high-performance SQL, and dbt; establish scalable batch and real-time data solutions with Spark, Flink, and Kafka.
•Author technical designs and RFCs, set architectural trade-offs, and influence the technical direction of owned data products.
•Maintain quality and governance through observability, lineage, testing, privacy controls, access management, and documentation.
•Lead postmortems and manage on-call responsibilities by responding to incidents, troubleshooting outages/alerts, and driving corrective actions.

Pay and Benefits

Salary: CAD 136,000 - 187,000 annually

Equity and Bonus:Equity

Perks:EquityAnnual Bonus

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field, or equivalent practical experience.
•5+ years of relevant experience in data engineering, distributed systems, or related work.
•Independently deliver and operate significant production data products end to end.
•Experience building cloud-based data platforms, preferably using AWS and Snowflake.
•Hands-on expertise with Python and high-performance SQL, plus data transformation and orchestration tools such as dbt and Airflow; experience with Spark/Flink/Kafka is required.

Experience:5+ yearsData engineeringDistributed systemsCloudMachine learningReal-time streaming

Education:Bachelor's in Computer Science, Data Engineering

Skills:Technical judgmentCode reviewMentorshipCollaborationStakeholder communication

Tech Stack:PythonSQLDbtAirflowAWSSnowflakeSparkFlinkKafkaETLELTData modelingCI/CDCI/CD practicesIcebergDebeziumTerraformVersion-controlled schemasRFCs

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

2 days ago

Senior Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Own end-to-end design, delivery, and operation of major data products, including high-throughput ETL/ELT pipelines and storage solutions.
•Develop performance-tuned transformations and services using Python, high-performance SQL, and dbt; establish scalable batch and real-time data solutions with Spark, Flink, and Kafka.
•Author technical designs and RFCs, set architectural trade-offs, and influence the technical direction of owned data products.
•Maintain quality and governance through observability, lineage, testing, privacy controls, access management, and documentation.
•Lead postmortems and manage on-call responsibilities by responding to incidents, troubleshooting outages/alerts, and driving corrective actions.

Pay and Benefits

Salary: CAD 136,000 - 187,000 annually

Equity and Bonus:Equity

Perks:EquityAnnual Bonus

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field, or equivalent practical experience.
•5+ years of relevant experience in data engineering, distributed systems, or related work.
•Independently deliver and operate significant production data products end to end.
•Experience building cloud-based data platforms, preferably using AWS and Snowflake.
•Hands-on expertise with Python and high-performance SQL, plus data transformation and orchestration tools such as dbt and Airflow; experience with Spark/Flink/Kafka is required.

Experience:5+ yearsData engineeringDistributed systemsCloudMachine learningReal-time streaming

Education:Bachelor's in Computer Science, Data Engineering

Skills:Technical judgmentCode reviewMentorshipCollaborationStakeholder communication

Tech Stack:PythonSQLDbtAirflowAWSSnowflakeSparkFlinkKafkaETLELTData modelingCI/CDCI/CD practicesIcebergDebeziumTerraformVersion-controlled schemasRFCs

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