Software Engineer - Core (Onsite) at Dagster Labs

San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Software, Data ManagementIndustries

Requirements

Candidates should possess a relevant degree in Computer Science or have at least 3 years of software development experience. Proficiency in Python or a similar language, familiarity with frontend development, and expertise across the full software development lifecycle are required. Strong written and oral communication skills, along with proven teamwork effectiveness, are also necessary. Experience with Dagster, data engineering, MLOps, AI pipelines, data platforms, infrastructure as code, Docker, growth-oriented initiatives, large-scale distributed systems, B2B SaaS, and user engagement are considered nice-to-have qualifications.

Responsibilities

The Software Engineer will contribute to the core Dagster framework by designing, implementing, and maintaining foundational features. They will enhance the open source developer experience through improved documentation, tooling, and workflows. The role involves building and extending Components for modular data platform development, evolving the core API including features like freshness policies and sensors, and driving AI-driven innovation with scaffolding and automation tools. Additionally, the engineer will improve local development and testing workflows to increase speed, ease, and reliability for developers.

Skills

Software Engineering

API Design

Data Orchestration

Problem-Solving

Collaboration

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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