Software Engineer - Compass at Dagster Labs

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data Engineering, AIIndustries

Requirements

3+ years of relevant software development experience
Proficiency in Python or a similar high-level programming language, and working familiarity with frontend development
Expertise across the full software development lifecycle, from planning to delivery and iteration
Strong written and oral communication skills
Proven effectiveness at contributing to and executing as part of a team
Interest in working at a fast-moving, dynamic startup environment
Nice-to-have Qualifications
Experience with building tools using generative LLMs
Experience with full-stack application development, infrastructure as code, and Docker-based deployment patterns
Experience with growth-oriented engineering initiatives
Experience in a high-functioning engineering organization

Responsibilities

Write clean, reliable backend code (in Python) and frontend code (in Typescript/React), contributing across the full stack as needed
Prototype quickly, ship often, and collaborate closely with teammates to turn ideas into production features
Improve performance, reliability, and user experience as the product evolves
Build end-to-end features that integrate with AI to generate insights on big data
Shape user interactions that happen through asynchronous workflows and lightweight web components
Engage directly with users to gather feedback and turn insights into better experiences

Skills

Slack Integration

Backend Development

Data Integration

Infrastructure

Product UX

Python

Dagster Labs

Data orchestration platform for productivity

About Dagster Labs

Dagster Labs develops a data orchestration platform called Dagster, which is designed to enhance productivity in managing data workflows. The platform allows users to define, schedule, and monitor data pipelines, making it easier to integrate and process data from various sources. Unlike many other data orchestration tools, Dagster focuses on providing a clear structure for data workflows, enabling teams to collaborate more effectively and maintain better visibility into their data processes. The goal of Dagster Labs is to streamline data management, helping organizations to work more efficiently with their data.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$78.6MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

11-50Employees

Benefits

Flexible Work Hours

Remote Work Options

Risks

Competition from Treeverse's lakeFS 1.0 may challenge Dagster's market position.

Focus on GitHub stars could divert attention from essential product development.

Rapid tech evolution in data orchestration may risk Dagster's obsolescence.

Differentiation

Dagster Labs offers an open-source orchestration platform for data asset management.

The platform is designed for productivity, scalability, and observability of data assets.

Dagster's integration with lakeFS enhances data version control capabilities.

Upsides

Recent $33M Series B funding boosts development and marketing efforts for Dagster.

Growing demand for sophisticated data orchestration tools aligns with Dagster's offerings.

Dagster's platform supports critical decision-making processes, increasing its market relevance.

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