Dagster Labs

Software Engineer - Platform (Experienced)

New York, New York, United States

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Software Development, Cloud Computing, Data PlatformsIndustries

Requirements

Candidates should possess 5+ years of relevant software development experience and expertise in the full software development lifecycle. Strong command of software system design, including scalability, third-party integrations, and API design, is essential. Fluency in Python and strong written and oral communication skills are required, along with experience in a high-functioning engineering organization working on large-scale distributed systems or B2B SaaS applications. Experience with modern infrastructure tools, the Modern Data Stack, and cloud platforms like AWS, Kubernetes, and Postgres are considered advantageous.

Responsibilities

The role involves developing and optimizing core backend systems and infrastructure components, enhancing the efficiency, scalability, and stability of critical system resources through analysis and refinement. Responsibilities include partnering with cross-functional teams to align on product development needs and deliver impactful solutions, as well as reviewing designs and code to maintain high standards of quality and performance across the team.

Skills

Platform Engineering
API Design
CI/CD
Database Performance
Python
Infrastructure
Scalable Systems
Open-Source Software

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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