Senior Software Engineer - Core Data Platform at CloudZero
Boston, Massachusetts, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Jun, 25

Salary

0.0

Posted On

16 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Snowflake, Sql, Analytics, Storage Solutions

Industry

Information Technology/IT

Description

REQUIREMENTS

  • Proficiency in SQL and experience working with cloud-based databases and data storage solutions (e.g., AWS Redshift, Snowflake, BigQuery)
  • Hands-on experience building and optimizing ETL pipelines and frameworks
  • Deep understanding of data modeling principles and data warehouse design for analytics
  • Strong problem-solving and debugging skills, especially in large-scale data environments
  • Ability to communicate complex data concepts effectively to business stakeholders and cross-functional teams
Responsibilities

ABOUT THIS ROLE

As we continue to grow at CloudZero, we are looking for a Senior Software Engineer specializing in data to join our core data platform team. This team is responsible for building and maintaining the architecture at the heart of our product, focusing on backend data processing, storage, and optimization.
The ideal candidate is passionate about designing scalable data structures, optimizing data performance, and developing robust data pipelines. In this role, you will work on data modeling, pipeline optimization, and query performance to support analytics and business intelligence. You will also collaborate closely with engineers and business teams to ensure efficient data storage, processing, and accessibility across our platform.
If you thrive on solving complex data challenges, enjoy optimizing systems for scalability and performance, and love answering questions no one has asked yet, this might be the perfect role for you.

RESPONSIBILITIES

  • Design and optimize scalable data models, queries, and storage solutions to improve performance and efficiency
  • Maintain and enhance a custom-built query engine, ensuring optimal performance and flexibility
  • Build for scale as we onboard customers with larger datasets and increasingly complex analytical needs
  • Collaborate with engineers and business stakeholders to develop data-driven features that solve real customer problems
  • Continuously improve our engineering processes and data infrastructure to enable rapid development and iteration
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