Senior Data Engineer: Python, AWS ML Pipelines

Lever, Inc.; Germany (OH); On-site; USD 102,000 - 147,000; Full time

Benefits offered by this job

Flexible working arrangements

Training & development

Business travel

Healthcare benefits

Job summary

Lever, Inc. in Germany is seeking a Senior Data Engineer to build and operate large-scale data and ML pipelines in production. You will work across data engineering, cloud infrastructure, and ML operations to turn models into reliable production workflows.

The role emphasizes Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure. You will collaborate with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions.

Qualifications

• Experience building production-grade data or ML pipelines.
• Strong Python experience in data engineering.
• Hands-on with Airflow for workflow orchestration.
• Experience with AWS Step Functions and AWS Glue.
• Experience deploying ML models with AWS SageMaker.
• Extensive AWS cloud experience in production environments.
• Understanding of reliability and performance at scale.
• Strong collaboration with Data Scientists and ML Engineers.
• Excellent written and verbal English communication skills.
• Ability to work in distributed cross-functional teams.
• GCP experience is a plus but not required.

Responsibilities

• Build and operate production-grade data and ML pipelines.
• Develop ETL and data-processing workflows using Python.
• Design and orchestrate workflows using Airflow and Step Functions.
• Use AWS Glue for data processing and pipeline execution.
• Support deployment and operationalization of ML models with SageMaker.
• Collaborate with Data Scientists/ML Engineers to productionize models.
• Monitor pipeline health and troubleshoot production issues.
• Contribute to architectural decisions for the data platform.

Skills

Python data engineering

Production data pipelines

Airflow

AWS Step Functions

AWS Glue

SageMaker

Cloud AWS

Collaboration with data science

Troubleshooting

English communication

Independent + cross-team

Tools

Airflow

SageMaker

AWS Glue

Step Functions

Job description

Lever, Inc. in Germany is seeking a Senior Data Engineer to build and operate large-scale data and ML pipelines in production. You will work across data engineering, cloud infrastructure, and ML operations to turn models into reliable production workflows.

The role emphasizes Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure. You will collaborate with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions.