GenLogs

GenLogs

Data Engineer

Remote (United States) · Full-time

Sponsorship not specifiedDetected 223 days ago
PythonSQLSnowflakeAWSMachine LearningAirflowdbtData EngineeringComputer VisionMLOpsLogisticsProblem Solving

About the role

  • By operating at the intersection of edge sensing, computer vision, AI-driven analytics, and large-scale field deployment, GenLogs is transforming how transportation data is captured, secured, and commercialized.
  • ABOUT THE JOB You're a problem solver at heart.

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.
  • Maintain high data quality, data integrity, and pipeline SLA commitments.
  • Build feature pipelines to support ML workflows.
  • Support model deployment, monitoring, and automated retraining.
  • GenLogs is a transportation-technology company building the next generation of truck intelligence.
  • Through a nationwide network of sensors and proprietary data, we deliver real-time, high-fidelity insights into freight movement for commercial supply-chain customers and public-sector agencies.
  • You ask great questions, validate assumptions with data, and are relentless in your pursuit of signal over noise.

Requirements

  • 3+ years of experience in data engineering or software engineering.
  • Hands-on experience with Snowflake, AWS Firehose/S3, Airflow, and dbt.
  • Ability to work independently and execute in a dynamic environment.
  • You bring a background in engineering, computer science, physics, applied math, or another hard science discipline, and you enjoy applying that technical foundation to real-world data challenges.

Nice to have

  • 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.
  • A recruiter will provide a precise range during the hiring process.

Company info

  • Our mission is to strengthen America's logistics backbone, combat freight fraud and cargo theft, and provide near-instantaneous visibility into commercial motor vehicle activity across major freight corridors.

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