Data Engineer

GenLogs is a transportation-technology company building the next generation of truck intelligence. The Data Engineer role involves architecting and building reliable systems for data analytics, focusing on developing ETL/ELT pipelines and supporting machine learning workflows.

Responsibilities:

• Build and maintain ETL/ELT pipelines using Python and SQL
• Develop ingestion workflows with AWS Firehose, S3, and related services
• Create and optimize dbt models, tests, and incremental logic
• Tune Snowflake queries and warehouse usage for cost and performance
• Operate and improve Airflow DAGs for reliable execution and monitoring
• Maintain high data quality, data integrity, and pipeline SLA commitments
• Bring clarity to ambiguous requirements and propose practical solutions
• Build feature pipelines to support ML workflows
• Support model deployment, monitoring, and automated retraining
• Add data validation and quality checks across ML and analytics pipelines

Requirements:

• 3+ years of experience in data engineering or software engineering
• Strong Python and SQL skills
• Hands-on experience with Snowflake, AWS Firehose/S3, Airflow, and dbt
• Ability to work independently and execute in a dynamic environment
• Strong problem-solving skills and attention to detail
• Experience with geospatial data (e.g., spatial joins, geometry processing, or geospatial libraries)
• Experience with ML or MLOps pipelines
• Knowledge of Snowflake streams, tasks, and performance tuning
• Experience with large-scale or semi-structured datasets