Full-Time

Software Engineer – University Grad

Confirmed live in the last 24 hours

Dagster Labs

Dagster Labs

11-50 employees

Data orchestration platform for productivity

Data & Analytics
Enterprise Software

Compensation Overview

$150k - $160kAnnually

Entry

San Francisco, CA, USA + 2 more

More locations: New York, NY, USA | Minneapolis, MN, USA

Required to be in-office at least 2x a week for the first 6 months.

Category
Full-Stack Engineering
Web Development
Software Engineering
Required Skills
Python
JavaScript
Java
C/C++

You match the following Dagster Labs's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • B.S. or M.S. in Computer Science or a related field.
  • At least two previous software engineering internships or equivalent hands-on experience.
  • Proficiency in an industry-standard programming language such as Python, Java, C++, or JavaScript.
  • Bachelor's degree (or equivalent degree/experience) must be completed prior to joining.
Responsibilities
  • Develop a deep understanding of our product areas, codebase, and/or underlying systems.
  • Work independently to tackle challenges, leverage available resources, and complete tasks efficiently while maintaining high standards of problem-solving and judgment.
  • Learn and apply Dagster Labs' development standards, from writing code to deployment, taking on increasingly complex projects as you grow.
  • Write high-quality, well-tested code using modern abstractions, frameworks, and best practices.
  • Collaborate with team members and take action on feedback, coaching, and mentorship to continuously improve.
  • Able to work from our NYC office at least twice a week for the first 6 months. Working in-office with your mentor ensures effective onboarding, allows you to build relationships, and get immediate feedback/guidance.
Desired Qualifications
  • Experience with developing, releasing, and running large-scale web applications infra.

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 emphasizes a user-friendly interface and a strong focus on collaboration among teams, enabling users to work together more effectively on data projects. The goal of Dagster Labs is to streamline data operations and improve the efficiency of data-driven decision-making for organizations.

Company Stage

Series B

Total Funding

$78.6M

Headquarters

San Francisco, California

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • 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.

What critics are saying

  • 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.

What makes Dagster Labs unique

  • 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.

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Benefits

Flexible Work Hours

Remote Work Options