Senior Data Engineer

Role Description

OpenTeams is hiring for a Senior Data Engineer to maintain and improve core data infrastructure for a key client account. In this role, you will architect and implement the critical data foundations required to fuel advanced analytics and AI initiatives. Your primary focus involves hands-on development in SQL and Python within modern cloud environments, and you will be instrumental in creating high-performance generation pipelines for product models that deliver significant enterprise value.

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.

Qualifications

• 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 Have

• 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.

Benefits

• 100% employer paid medical premiums for employees.
• Self-managed PTO with a minimum time off requirement.
• Opportunities to collaborate with global experts and contribute to open source projects.
• Commitment to diversity, equity, inclusion, and belonging.