[Remote] Developer Success Engineer at Dagster Labs

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data, AIIndustries

Requirements

5+ years of relevant experience in technical support or a similar role
Proficiency in Python
Hands-on experience with distributed systems, containerized environments (e.g., Kubernetes, Docker), cloud platforms (AWS, GCP, Azure), and CI/CD workflows
Strong written and verbal communication skills, with empathy for clients and ability to advocate for their needs while representing the company effectively
Proven ability to troubleshoot and resolve complex technical challenges independently
Proactive mindset for engaging with customer issues and driving improvement

Responsibilities

Provide technical support to Dagster+ customers and open-source users
Provide technical guidance on data orchestration, integration, and how to write pipelines in Dagster (Python)
Diagnose and resolve issues related to Dagster installations, integrations, and deployments
Troubleshoot issues with cloud services (AWS, GCP, Azure) and containerized environments (Kubernetes, Docker) to help customers implement solutions effectively
Improve documentation for clarity and usability
Improve support tooling and develop debugging resources to expedite issue resolution
Provide feedback to engineering and product teams to drive product improvements

Skills

Dagster

data orchestration

technical support

documentation

tooling

Python

data platforms

cloud services

machine learning

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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