OpenTeams
Senior Data Engineer
Remote Data Engineering role with clear candidate location fit.
PostedJul 11, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Senior Data Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Key Responsibilities
- Design and build of ETL processes in collaboration with software and model development teams.
- Create and maintain scalable data infrastructure.
- Own full pipeline and infrastructure lifecycle including performance monitoring and optimization.
- Maintain and improve existing pipelines, ensuring stability over existing requirements and adapting to new needs.
Required Skills & Experience
- Expert proficiency in SQL for heavy utilization in building data assets and complex pipelines.
- Full proficiency in Python for data processing tasks and pipeline integration.
- Experience manipulating, aggregating, and expanding large-scale data assets.
- Proven experience with cloud solutions, specifically Google Cloud Platform (GCP) or AWS.
Nice to haves
- Experience with MLOps, including model deployment and monitoring.
- Familiarity with ETL pipeline orchestration tools like Apache Airflow.
- Experience working in direct collaboration with downstream data consumers responsible for feature engineering, training, and monitoring of deep-learning models.
- Experience working in a remote environment, collaborating with hybrid teams
- Experience working in consulting or client-facing technical role
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Location eligibility
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