This role will focus on designing and scaling modern data infrastructure that supports reliable analytics, reporting, and operational decision-making. You will build robust batch and streaming pipelines, strengthen data quality and governance, and partner closely with technical and cross-functional stakeholders to improve platform performance. The position also emphasizes cloud-native engineering, automation, and the creation of dependable data solutions that can support business growth.
Location: Remote
Compensation: $130,000 – $155,000 annually
Responsibilities
- Design and optimize a scalable, cloud-native data platform
- Build batch and streaming data pipelines and transformation models
- Develop data models that support quality and governance standards
- Implement Infrastructure as Code and maintain CI/CD pipelines
- Establish automated testing and monitoring practices
- Monitor platform performance and troubleshoot production issues
- Collaborate with cross-functional teams on architecture and documentation
- Minimum of 5 years of data engineering experience or relevant work experience
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
- Proficiency in cloud-native solutions on Google Cloud Platform, particularly BigQuery and dbt
- Strong SQL and Python programming skills
- Experience with batch and streaming data pipeline development using Apache Airflow or Cloud Composer
- Skilled in Infrastructure as Code using Terraform
- Familiarity with Google Cloud services including Pub/Sub, Dataflow, and Kubernetes
- Remote work flexibility
- Opportunities for mentorship and professional development
- Travel reimbursement for business-related expenses
- Potential for a corporate credit card based on travel needs
- Access to cutting-edge cloud technologies and data solutions