Data Pipeline Engineer
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Job Description
Data Pipeline Engineer at Clever managing data platforms and infrastructure. Collaborating with teams to ensure reliable data processes and drive infrastructure strategy.
Responsibilities:
- Own and operate Clever's data platform infrastructure.
- Manage AWS services (EC2, RDS, VPC, S3, MWAA), Terraform-managed infrastructure-as-code, and Databricks administration.
- Maintain and improve data pipeline reliability.
- Build and extend data ingestion pipelines.
- Manage database infrastructure.
- Support security and compliance.
- Collaborate with the data engineering team.
- Drive infrastructure strategy.
Requirements:
- 4+ years of experience in data engineering or data platform roles
- Databricks administration and lakehouse architecture
- Apache Airflow administration and DAG development (MWAA preferred)
- AWS (EC2, RDS, VPC, S3, MWAA)
- Terraform (infrastructure as code)
- Python (PySpark, general scripting)
- PostgreSQL / RDS management
- VPN setup and management (Pritunl on EC2)
- SSO configuration
- Excellent communication skills
- Experience with SOC-2 compliance infrastructure requirements is a plus
- Real estate, fintech, or marketplace industry experience a plus
Benefits:
- Medical, dental, vision, and life insurance
- 18 days of PTO (increases with tenure) plus 10 paid holidays
- Annual budget for learning and career growth
- Paid sabbaticals to celebrate major milestones
- Exclusive access to Clever homeownership perks
- Support for your remote workspace
- Retirement plan administered through Guideline
- 6–12 weeks of paid parental leave
- Free counseling sessions and optional weekly meditation
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