About the Role
The role involves building and optimizing data pipelines, ensuring data accuracy and accessibility, and collaborating with teams to support analytics and reporting needs through robust data architecture.
Responsibilities
- Design and implement data storage solutions
- Develop and maintain ETL pipelines
- Ensure data quality and integrity across systems
- Collaborate with analytics and product teams
- Optimize data workflows for performance and scalability
- Monitor data pipeline reliability and uptime
- Support business intelligence reporting needs
- Document data models and system architecture
- Troubleshoot data-related issues promptly
- Evaluate and integrate new data technologies
Nice to Have
- Master’s degree in a technical field
- Experience in home services or real estate tech
- Background in machine learning pipelines
- Contributions to open-source data projects
- Exposure to real-time data streaming platforms
Compensation
$130,000 - $160,000 per year
Work Arrangement
Remote, US-based
Team
Cross-functional team focused on data infrastructure and analytics
About the Team
- We work closely with data scientists, product managers, and engineers to deliver reliable data infrastructure.
- Our focus is on creating maintainable systems that scale with the business.
Technology Stack
- Primary tools include AWS, Redshift, Airflow, and dbt.
- We use Python and SQL extensively and are exploring real-time processing with Kafka.
Not available
