Senior Data Engineer

Summary

Join Later as a Senior Data Engineer and play a crucial role in building and optimizing our data warehouse. You will design, implement, and maintain robust data pipelines and architectures. Collaborate with engineers, data partners, and stakeholders to leverage cloud technologies and develop impactful data solutions. Transform raw data into actionable insights by enforcing data quality checks and governance practices. Work with data scientists, product managers, and business stakeholders to understand data needs and deliver actionable insights. Analyze and optimize data pipelines for performance and cost-effectiveness. This position offers a tremendous opportunity to shape our data infrastructure and support our rapid growth.

Requirements

• Minimum of 5 years in data engineering or related fields, with a strong focus on building data infrastructure and pipelines
• Bachelor’s degree in Computer Science, Engineering, or a related technical field; advanced degree preferred

Responsibilities

• Design and build a robust data warehouse architecture
• Design, build, and maintain scalable data pipelines for both batch and real-time processing, ensuring high availability and reliability
• Develop reliable transformation layers and data pipelines from ambiguous business processes using tools like DBT
• Establish optimized data architectures using cloud technologies, and implement both batch and streaming data processing systems
• Enforce data quality checks and governance practices to maintain data integrity and compliance
• Work with data scientists, product managers, and business stakeholders to understand data needs and deliver actionable insights
• Analyze and optimize data pipelines for performance and cost-effectiveness

Preferred Qualifications

Advanced degree

Benefits

• Stock options
• Various benefits plans
• Salary Range: 113,000 - 130,000 USD
• Remote work options