Senior Software Engineer - Data Pipeline
Skills
- Proficiency in Python programming and software engineering best practices.
- Experience with Go programming is a strong advantage.
- Understanding of ETL pipelines, data ingestion, cleanup, and transformations across SQL and NoSQL sources.
- Experience with Google Cloud Platform, Kubernetes, Apache Beam, PySpark, DataFlows, and BigQuery.
- Ability to work effectively in a remote-first environment.
- Strong collaborative and adaptive skills.
Responsibilities
- Develop and maintain data pipelines handling large data volumes using Python, Go, MongoDB, and GCP.
- Optimize real-time data tracking systems to support marketing automation.
- Improve import throughput, reliability, and integration with various data storages.
- Support data export to Google BigQuery using DataFlows, PySpark, and Apache Beam.
- Operate and support production services with high traffic on Google Cloud Platform and Kubernetes.
- Conduct peer code reviews to maintain high-quality standards.
- Participate in on-call rotations to ensure service uptime.
Education
- Bachelor's degree in Computer Science, Engineering, or related field preferred.
Benefits
- Flexible working hours and remote-first work model with multiple hubs worldwide.
- Paid volunteering days and community engagement support.
- Professional development budget of $1,500 annually for education and certifications.
- Employee Assistance Program and mental wellness resources including Calm subscription.
- Extended parental leave and global ‘DisConnect’ days.
- Compensation includes restricted stock units or options and company performance bonuses.
- Employee referral bonus up to $3,000 and work anniversary rewards.
Average salary estimate
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