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Dagster Jobs (NOW HIRING)

Reveel

Data Engineer (Remote)

Irvine, CA · Remote

$115K - $150K/yr

Familiarity with workflow tools like Dagster is also a plus. This role is fairly autonomous. A successful applicant should be comfortable using their skill, intuition, and creativity to accomplish a ...

Heartflow

Senior Data Engineer

Rohnert Park, CA · On-site

$140K - $170K/yr

In this role, you will move beyond simple ETL to building robust, observable data products using Dagster and Cube while ensuring data governance practices and catalog management are consistently ...

CYNET SYSTEMS

Data Modeler

San Francisco, CA · On-site

$75 - $80/hr

Provides expertise in modern data technologies including Databricks, dbt, Dagster, and Snowflake. Requirement/Must Have: * 7 years of experience with Databricks. * 7 years of experience with dbt. * 7 ...

Billee.AI

Senior Data Engineer

Dallas, TX · Remote

$108K - $147K/yr

Dagster * Transformation: DBT * Language: Python, SQL * Cloud: Azure * Adjacent: Hex, MCP Requirements * 4+ years in data platform engineering. Bonus if you've been a primary builder on a platform ...

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Dagster information

What is a Dagster developer?

A Dagster developer is a software engineer or data engineer who specializes in working with Dagster, an open-source data orchestrator for machine learning, analytics, and ETL. They design, build, and manage data pipelines, ensuring the reliable movement and transformation of data across systems. Dagster developers use Dagster's abstractions—such as solids, pipelines, and schedules—to orchestrate complex workflows, monitor data health, and enable reproducible data processes. Their work helps organizations gain insights and make data-driven decisions by providing robust and maintainable data infrastructure.

What is a Dagster job?

A Dagster job is a collection of operations (or ops) that define a data pipeline within the Dagster orchestration framework. Jobs specify how computations should be executed, including dependencies between operations and execution configurations. They allow users to manage data workflows reliably by enabling scheduling, monitoring, and error handling.

What is the difference between Dagster vs Data Engineer?

AspectDagsterData Engineer
Primary RoleWorkflow orchestration and data pipeline managementDesign, build, and maintain data infrastructure and pipelines
Required SkillsPython, orchestration tools, data pipeline conceptsSQL, Python, cloud platforms, ETL processes
Work EnvironmentData teams, DevOps, data platformsData teams, software engineering, cloud environments
CertificationsNone specific, familiarity with data toolsData engineering certifications (e.g., Google Cloud, AWS)

While Dagster focuses on orchestrating and managing data workflows, Data Engineers are responsible for building and maintaining the entire data infrastructure. Both roles require Python and data pipeline knowledge, but Data Engineers often have broader skills in database management and cloud platforms. Understanding these differences helps organizations assign the right responsibilities and professionals for their data projects.

What are the key skills and qualifications needed to thrive as a Dagster Data Engineer, and why are they important?

To excel as a Dagster Data Engineer, you need strong programming skills (especially in Python), experience with data pipeline design, and a background in data engineering or computer science. Familiarity with Dagster itself, orchestration tools, cloud platforms (such as AWS or GCP), and containerization technologies like Docker is highly beneficial. Problem-solving ability, attention to detail, and effective communication are essential soft skills for collaborating with teams and debugging complex workflows. These competencies ensure the reliable, scalable, and efficient delivery of data products within modern data ecosystems.

What are some common challenges faced by Dagster engineers when orchestrating complex data pipelines?

Dagster engineers often encounter challenges related to managing dependencies between diverse data assets and ensuring pipeline reliability at scale. Debugging and monitoring can become complex as pipelines grow, particularly when integrating with multiple external systems or deploying in distributed environments. Collaborating closely with data scientists, analysts, and DevOps teams is essential to address these issues, streamline workflows, and maintain data quality. Staying updated with Dagster's evolving features and best practices also helps engineers proactively tackle these challenges.
More about Dagster jobs
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Dagster jobs near you
Infographic showing various Dagster job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution.

Software Engineer - Build Scalable Data Platform & AI Tools

Feedinkoo

Manhattan, NY • On-site

$126K - $151K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Feedinkoo is hiring a Software Engineer for Compass at Dagster Labs, where you'll empower organizations to create productive, scalable data platforms. Join a team trusted by thousands, working on innovative tools like Dagster and AI-driven products to enhance data analytics. This role is pivotal for contributing to products that bridge the gap between teams and data insights.

If you're passionate about technology and want to shape the future of data platforming, we want to hear from you! #J-18808-Ljbffr

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