Software Engineer - Platform (Experienced; Remote) at Dagster Labs

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data Platforms, AIIndustries

Requirements

5+ years of relevant software development experience
Expertise in the full software development lifecycle, from scoping and planning to delivery and iteration
Strong command of software system design, including scalability, third party integrations, and API design
Fluent in Python
Strong written and oral communication skills
Experience in a high-functioning engineering organization working on large-scale distributed systems or B2B SaaS applications
Proven effectiveness at contributing to and executing as part of a team

Responsibilities

Develop and optimize core backend systems and infrastructure components
Enhance efficiency, scalability, and stability of critical system resources through analysis and refinement
Partner with cross-functional teams to align on product development needs and deliver impactful solutions
Review designs and code to maintain high standards of quality and performance across the team

Skills

Key technologies and capabilities for this role

PythonPlatform EngineeringAPI DesignCI/CDDatabase PerformanceInfrastructureScalable SystemsSoftware EngineeringOrchestration

Questions & Answers

Common questions about this position

What compensation is offered for this role?

This is a full-time position offering competitive salary, equity, and benefits.

Is this position remote-friendly?

Yes, the role is fully remote for candidates authorized to work in the United States, with flexible options including home or coworking spaces. Dagster Labs is a distributed, remote-first team with offices in San Francisco, New York, and Minneapolis.

What skills are required for this Software Engineer role?

The role requires strong software engineering skills with experience in backend systems, infrastructure, Python internals, CI/CD, and database performance. A builder’s mindset focused on designing scalable systems and writing high-quality code is essential.

What is the company culture like at Dagster Labs?

Dagster Labs has a small, well-funded team with big energy, emphasizing collaboration, high standards, trust, curiosity, and no egos or drama. They foster a remote-first culture with all tools and support needed to thrive.

What makes a strong candidate for this position?

Strong candidates are experienced engineers with a builder’s mindset who enjoy tackling complex platform challenges in areas like backend systems, scalability, Python internals, and infrastructure, rather than a purely operational focus.

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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