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When data pipelines became less “plumbing” and more sprawling, existential nightmares, along came Dagster. It promised to be the orchestrator to end all orchestrators, moving beyond simple task scheduling to embrace a more data-aware, testable, and frankly, sensible approach to data processing. The core idea – solidifying data assets as first-class citizens – was quite clever, really, though one does wonder if everyone truly needs that level of metadata obsession.

In practice, Dagster is a Python-based framework that leans heavily into software engineering best practices. Think Airflow meets Prefect, but with a stronger emphasis on data quality and local development. It’s undeniably powerful, but requires a steeper learning curve and a more disciplined approach than some of its competitors. While it’s gained traction among data engineers at companies like Spotify and DoorDash, it hasn't quite achieved the ubiquitous status of Airflow, perhaps because convincing data teams to actually write tests is a challenge even the most elegant framework can’t solve.

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Jobs (this month)

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Jobs in using Dagster for but please no

analytics engineer

Staff Analytics Engineer @ zocdoc

US | 2025-12-28 | USD 176000 - 250000 / year
This role is for a Staff Analytics Engineer at Zocdoc, a mission-driven company focused on empowering patients through data-driven solutions. The position requires 6+ years of experience in... read more »
Analytics, Management, Data Engineering, Looker, Amplitude, SQL, dbt, Dagster, Data Governance, Data Modelling, DWH, Cloud Computing, Snowflake, DataViz, Python, AI/ML, KPI, BI
analytics engineer

Senior Analytics Engineer I @ upside

US | 2025-12-23 | USD 130000 - 180000 / year
Upside pitches itself as an in‑house analytics platform powering brick‑and‑mortar profitability with a modern data stack. The Analytics Engineer role centers on end‑to‑end data products with dbt,... read more »
Analytics, dbt, Snowflake, Dagster, Data Quality, Analytics Engineering, Modern Data Stack, Airflow, SQL, Python, dimensional modeling, AI/ML, DevOps, CI/CD, Data Governance, FinOps
promoted

The Fundamentals of Analytics Engineering

The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.

analytics engineer

Staff Analytics Engineer @ upside

US | 2025-12-23 | USD 215000 - 250000 / year
Upside is seeking a Staff Analytics Engineer to lead analytics platform development and data products, with a heavy emphasis on architecture, standards, and cross-team delivery. You’ll own... read more »
Analytics, Analytics Engineering, AI/ML, Snowflake, Data Science, SQL, Python, AWS, dbt, Dagster, DevOps, CI/CD, Data Governance, FinOps