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GoodData

Cloud analytics platform enabling real-time insights

Senior Backend Engineer - Kotlin

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Have experience delivering a variety of backend features.
  • Have a robust background in computer science.
  • Have experience with object-oriented programming.
  • Have an interest in clean software architecture.
  • Have a passion for solving complex algorithmic problems.
  • Have good proficiency in spoken and written English.
  • Demonstrate a focus on technical excellence and the quality of delivered solutions.
  • Have a strong sense of ownership and be open to constructive feedback.

Responsibilities

  • Build a fast, distributed query engine using Kotlin and Apache Calcite.
  • Develop algorithms for parsing and transpiling an internal query language (MAQL) into SQL, based on semantic data models.
  • Design APIs, write test-driven code, and shape product direction with the team.
  • Collaborate with Product, QA, and Architects in a product-focused engineering team.
  • Contribute to shaping technical solutions, best practices, and API design, both internally and externally.

Desired Qualifications

  • Have working knowledge of open-source data technologies.
  • Have experience with database engines and big data.
  • Have knowledge of semantic data modelling.

About the Company

GoodData

Cloud analytics platform enabling real-time insights

GoodData provides a cloud-based data and analytics platform designed for enterprises to make data-driven decisions. It delivers real-time, self-service insights at the point of work by combining data analytics, AI, and automation. The platform works by integrating with existing workflows, enabling users across organizations to access analytics through a scalable, subscription-based service. This makes insights accessible to over 3.2 million users across more than 140,000 businesses. GoodData differentiates itself by offering immediate, self-serve analytics at the point of work and strong enterprise scalability, rather than relying on separate data teams for every request. The company's goal is to help customers improve decision-making and drive meaningful change through data-driven insights.

Company size
201-500
Company stage
Debt Financing
Total funding
$163.1M
Headquarters
San Francisco, CA
Founded
2007

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