Senior Data Engineer: Freight Data Pipelines & ML

genlogs-corporation; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare

Unlimited PTO

Parental leave

Professional development

Travel reimbursement

401(k)

Job summary

GenLogs, a transportation-technology company, is hiring for a data engineer to build and optimize end-to-end data pipelines and analytics infrastructure. You’ll work at the intersection of engineering, data, and product to empower real-time freight insights and ML workflows.

You will design robust ETL/ELT processes, maintain data quality, and collaborate with cross-functional teams to deliver scalable analytics platforms across major freight corridors in the United States.

Qualifications

• 5+ years of data or software engineering experience.
• Strong Python and SQL proficiency.
• Hands-on with Snowflake, AWS Firehose/S3, Airflow, and dbt.
• Ability to work independently in a dynamic environment.
• Excellent problem-solving and attention to detail.

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.
• Lead data engineering best practices and influence architectural decisions.
• Collaborate with engineering, analytics, and ML teams to support shared goals.
• 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.

Skills

Python

SQL

Tools

Snowflake

AWS Firehose

S3

Airflow

dbt

Job description

GenLogs, a transportation-technology company, is hiring for a data engineer to build and optimize end-to-end data pipelines and analytics infrastructure. You’ll work at the intersection of engineering, data, and product to empower real-time freight insights and ML workflows.

You will design robust ETL/ELT processes, maintain data quality, and collaborate with cross-functional teams to deliver scalable analytics platforms across major freight corridors in the United States.