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트렌딩 기업

트렌딩 기업

채용

채용

Dagster

Dagster

Dagster

Data orchestration platform

Data Engineering

Pipeline Orchestration

Data Observability

Workflow Management

San Francisco, CA

51-200

2018년 설립 (8년차)

원격

Private

총 투자유치

$33M

최근 라운드

Series B

채용 중인 포지션

4개 포지션

Software Engineer - Observability Product

Engineering

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

On-site

Mid-Level

Full-time

확인하기

3주 전

Customer Success Manager

Customer Success

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

On-site

Lead

Full-time

확인하기

3주 전

Video Content Marketer

Content Marketing

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

On-site

Mid-Level

Full-time

확인하기

4주 전

Software Engineer - Enterprise Readiness (Experienced)

Frontend

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

On-site

Mid-Level

Full-time

$185,000 - $230,000

스톡옵션

Remote Work

홈오피스 지원

확인하기

1개월 전

마감된 포지션

3개 포지션

GTM Engineer

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

Mid-Level

마감 2주 전

Product Manager - Enterprise Readiness

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

Lead

마감 1개월 전

Design Lead

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

Lead

마감 1개월 전

제품 및 서비스

DA

Dagster Open Source

Data Orchestration

Dagster Open Source

Dagster Open Source

Data Orchestration Platform

Dagster+

Dagster+

Cloud Platform

DA

Dagster Cloud

Cloud Platform

Asset Materialization

Asset Materialization

Data Management

AS

Asset Catalog

Data Management

DA

Data Quality Monitoring

Data Quality

Data Quality Testing

Data Quality Testing

Data Quality

Dagit UI

Dagit UI

User Interface

BR

Branch Deployments

DevOps

DA

Dagit UI

User Interface

Sensors and Schedules

Sensors and Schedules

Automation

Multi-Asset Jobs

Multi-Asset Jobs

Workflow Management

HY

Hybrid Deployment

Deployment

DB

dbt Integration

Integration

Data Catalog

Data Catalog

Data Governance

Integration Libraries

Integration Libraries

Integrations

SE

Serverless Deployment

Cloud Infrastructure

Partitioning and Backfills

Partitioning and Backfills

Data Processing

EN

Enterprise Security

Security

뉴스 & 버즈

All

Reddit

X

News

HN

LinkedIn

YouTube

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

·

1개월 전

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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

·

1개월 전

·

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

·

1개월 전

·

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

·

1개월 전

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6

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9

[5 YoE] Just got rejected for a graduate level job and a bunch of others in one week, help on my updated CV before a renewed onslaught of applications please

https://preview.redd.it/cqlq26jwo9ig1.png?width=5100&format=png&auto=webp&s=6d571efce2ffbc224b26370caea550f02fca1981 So there were numerous issues with my CV before which I'd realised when checking the wiki here (really helpful resource btw!) While my cv/flair suggests close to 10YoE, not all of that was in technical roles. I'm specifally targeting Software Engineering (backend) or Data Engineering roles. My experience thus far is limited to data engineering and not on product foc

Reddit

·

2개월 전

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3

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1

더 보기 (15개 남음)

총 조회수

2

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

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

1개 리포트

$182,500

총 연봉

기본급

$170,000

주식

-

$144,500

$195,000

면접 경험

42개 면접

난이도

3.0

/ 5

소요 기간

2-5w

합격률

41%

경험

긍정 67%

보통 17%

부정 16%

면접 과정

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

연락처 및 위치