refresh

트렌딩 기업

트렌딩 기업

채용

채용Dagster

Software Engineer - Observability Product

Dagster

Software Engineer - Observability Product

Dagster

Remote with offices in San Francisco, CA / New York, NY / Minneapolis, MN

·

Remote

·

Full-time

·

3w ago

필수 스킬

Machine Learning

About us

At Dagster Labs:

, our mission is simple but ambitious: to empower every organization to build a productive, scalable data platform.** We’re the brains behind** Dagster**, the open-source tool developers love, and** Dagster+, our managed cloud. From scrappy startups to global enterprises, thousands of teams trust us to power the data behind their analytics, machine learning, and AI breakthroughs.

We believe the AI era runs on reliable, high-quality data. That’s why we make data platforms easier to test, easier to understand, and actually enjoyable to use. Dagster is quickly becoming the backbone of how the world builds intelligent systems, and the best AI companies are built on top of Dagster.

We’re a small, well-funded team with big energy and a track record of shipping software people rave about. We aim high and work as a team, holding ourselves to the highest standards and trusting each other to deliver. We care about how we work together: no egos, no drama, just a lot of curiosity and a drive to make something meaningful.

If you want to help shape the future of data and AI and have fun doing it, come build with us.

About the role

We’re looking for a product-minded software engineer to join the team working on Dagster+, our hosted SaaS product, to help make Dagster the de facto cloud solution for organizations to build, manage, and leverage their data assets. In this role, you will drive improvements to Dagster’s backend system, underlying open source framework, and product UI to unlock new capabilities for our users. You will solve difficult technical problems throughout the software stack and work collaboratively with the rest of the team to plan and execute. You will instrument, monitor, debug, and optimize distributed systems from end to end. You’ll talk directly to our users (data engineers and platform owners) to understand how best to improve our product.

This is a full-time, competitively paid position with benefits. We are a distributed team with offices in San Francisco, New York, and Minneapolis. We have team members all over the U.S. and we are hiring fully remote candidates in the U.S. Every employee is provided a remote work stipend to cover the cost of home office equipment and anything else that makes your remote work location comfortable, productive, or successful. And if you’d rather not work from home, we’ll cover the cost of a coworking or office space if you’re fully remote.

Responsibilities

  • Lead and execute product development initiatives from prototype to user adoption, in collaboration with product and design and your peers in engineering

  • Participate in technical architecture discussions and help the team make key technical decisions.

  • Solve difficult technical problems throughout the software stack and get projects over the finish line, across front-end, back-end, or infrastructure.

  • Proactively identify and address opportunities for enhancement—be it in code quality, user experience, or overall performance—and lead initiatives to make these improvements happen.

Must-have Qualifications

  • 5+ years of relevant software development experience

  • Fluency in Python or a similar high-level programming language, and proficiency with frontend development (we use React)

  • Expertise across the full software development lifecycle, from planning to delivery and iteration

  • Experience in a high-functioning engineering organization working on B2B SaaS applications or large-scale distributed systems

  • Strong written and oral communication skills

  • Proven effectiveness at contributing to and executing as part of a team

Nice-to-have Qualifications

  • Interest in progressing into a tech lead role, and relevant experience

  • Experience building services on Amazon Web Services, Kubernetes & Postgres

  • Experience with Dagster or related data orchestrators.

  • Experience with using or supporting tools in the Modern Data Stack

  • Experience engaging directly with users for research and support.

Our Stack

Dagster is built in Python and TypeScript, and runs seamlessly across macOS, Linux, and Windows. Our frontend is powered by React and GraphQL, delivering a modern, intuitive developer experience. We value engineers who are comfortable working across the stack and making thoughtful contributions.

You belong here

We are committed to building an inclusive team and an open-source community where no one feels out of place. We know that teams with diverse backgrounds state their assumptions more explicitly, think more rigorously, and build better software. Plus it's more fun and interesting to work with a wide variety of perspectives.

You should apply to work at Dagster Labs if you want to work in, and help to build and strengthen, a high-performing software development environment where people of all backgrounds are welcome.

The estimated cash salary for this role is $190,000 - $220,000.

Other resources

  • What is Dagster, a guide to the problems we solve and the philosophy driving our approach

  • A Look Inside the Dagster Labs Culture

  • Our Latest Dagster Release

  • Introducing the new Dagster+ UI

  • Introducing Compass

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Dagster 소개

Dagster

Dagster

Series A

Dagster is an open-source data orchestration platform that helps teams build, test, and monitor data pipelines. The company provides tooling for data engineers to manage complex data workflows with built-in observability and testing capabilities.

51-200

직원 수

San Francisco

본사 위치

리뷰

3.7

15개 리뷰

워라밸

3.8

보상

4.0

문화

3.7

커리어

3.6

경영진

3.5

81%

친구에게 추천

장점

Good work-life balance and flexible environment

Supportive team and management

Interesting projects and challenges

단점

Some organizational bureaucracy

Room for improvement in processes

Work-life balance varies by team

연봉 정보

1개 데이터

Senior/L5

Senior/L5 · Senior Backend Engineer - Platform & Infrastructure

1개 리포트

$182,500

총 연봉

기본급

$170,000

주식

-

보너스

-

$144,500

$195,000

면접 경험

42개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

41%

경험

긍정 67%

보통 17%

부정 16%

면접 과정

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

자주 나오는 질문

Technical skills

Past experience

Team collaboration

Problem solving

뉴스 & 버즈

Senior Data Engineer - Legend - United kingdom

**About Legend**At Legend, we're building next\-level player experiences. With 20\+ years of proven success we’re the world's leading Sports and Gaming marketing company. Our people are our edge. 600\+ sharp, ambitious Legends across 22\+ countries who move fast, learn quickly and win together. Here growth isn’t a perk, it’s the standard. You’ll stretch, level\-up and carve out a career as bold as the products we build. We celebrate wins and create experiences that people talk about for years

Reddit

·

4w ago

·

1

PWC Senior Associate - GCP Data Engineer. Interview Experience

**PwC India | Senior Associate | Data Engineer | Snowflake + dbt + GCP | 4.5 YOE** *** ## Round 1 ### Introduction & Project 1. Tell me about yourself 2. Walk me through your most recent project end to end 3. What is your tech stack and day-to-day work? ### GCP & BigQuery 4. Explain your GCP experience in detail 5. Have you used BigQuery Python API and GCS client libraries in code? 6. How do you partition and cluster tables in BigQuery? 7. Difference between partitioning and cluster

Reddit

·

4w ago

·

68

·

25

Dagster & dbt: core vs fusion

We are currently running dbt core via Dagster OSS, but I’ve been interested in switching to dbt fusion. Does anyone have experience making the switch? Were there any hiccups along the way?

Reddit

·

5w ago

·

8

·

4

Create pipeline with dagster

I have a project which extracting from pdfs i specific data. I used multiple python codes the first one is for parsing the second for chunking the third is for llm and the last is converting to excel. Each output is a json file. The objective is using dagster to orchestrate this pipeline . It takes a new pdf file then after this pipeline we get the excel file. I m new in dagster if someone can give some ideas in how to use dagster to resolve this problem , how to connect the python files . Th

Reddit

·

6w ago

·

6

·

9