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, leveraging cloud technologies to transform raw data into actionable insights. Collaborate with engineers, data partners, and stakeholders to deliver impactful data solutions. This role requires a minimum of 5 years of experience in data engineering and a Bachelor's degree in a related field. Later offers a competitive salary, stock options, and various benefits plans for permanent team members. We are committed to building an inclusive and supportive workplace.

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
• Fully remote options for select positions