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Dagster Jobs (NOW HIRING)

Charlie Health

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

... Dagster and DBT, ensuring reliable and well-monitored execution. • Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear ...

Xpertalent

Founding Data Engineer

San Francisco, CA

$150K - $300K/yr

Airflow, Dagster) for reliable, observable pipelines * Build and optimize large-scale data processing systems (batch + streaming where needed) * Partner closely with engineering and product to embed ...

Charlie Health

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

... Dagster and DBT, ensuring reliable and well-monitored execution. • Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear ...

Charlie Health

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

... Dagster and DBT, ensuring reliable and well-monitored execution. • Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear ...

Arya Health

Senior Software Engineer, Data

New York, NY · On-site

$160K - $230K/yr

Architect, build, and maintain ETL/ELT pipelines using Airbyte, Dagster, or similar frameworks. * Integrate with REST, GraphQL, and file-based APIs, as well as RPA workflows. * Optimize Postgres ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

... or Dagster. • Work comfortably in cloud environments, with a strong preference for experience in AWS. Experience in GCP or Azure is also highly valued. • Extract, integrate, and ensure the ...

Global Partners

Analytics Engineer

Waltham, MA · On-site

$118K - $177K/yr

Scale Global Partner's ability to democratize data by leveraging a Modern Data Stack (Snowflake, dbt, Fivetran, DataBricks, Census, Dagster, etc) * Design and maintain analysis and data systems ...

Arya Health

Senior Software Engineer

New York, NY · On-site

$160K - $200K/yr

Architect, build, and maintain ETL/ELT pipelines using Airbyte, Dagster, or similar frameworks. * Integrate with REST, GraphQL, and file-based APIs, as well as RPA workflows. * Optimize Postgres ...

SUNO

Software Engineer, Trust & Safety

Boston, MA

$170K - $240K/yr

Build and maintain data pipelines for bot detection and content moderation using Python, Snowflake, and Dagster * Design and implement anomaly detection systems to identify suspicious patterns in ...

New

SUNO

Software Engineer, Trust & Safety

Manhattan, NY · On-site

$170K - $240K/yr

Build and maintain data pipelines for bot detection and content moderation using Python, Snowflake, and Dagster * Design and implement anomaly detection systems to identify suspicious patterns in ...

Lorven Technologies

DataOps & Build Engineer

Configure, optimize, and manage the deployment of data workflows using orchestrators such as Dagster or Talend, focusing on automated testing and deployment steps. * Version Control & Repository ...

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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
What cities are hiring for Dagster jobs? Cities with the most Dagster job openings:
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Dagster jobs near you
Infographic showing various Dagster job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution.
Lead Data Engineer, Revenue Engine

Lead Data Engineer, Revenue Engine

Charlie Health

Manhattan, NY • On-site

$126K - $151K/yr

Full-time

Posted 28 days ago

Charlie Health rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Charlie Health is a rapidly growing organization focused on connecting individuals to life-saving behavioral health treatment. The Lead Data Engineer on the Revenue Engine team will build ELT pipelines, develop custom DAGs, and transform and warehouse data, playing a crucial role in enhancing the patient financial experience.
Responsibilities:
• Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake.
• Own and guide the development of our data infrastructure.
• Orchestrate complex data workflows using Dagster.
• Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work.
• Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods.
• Ensure our data is always available by participating in our on-call rotation.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience
• 7+ years experience in engineering, with at least 5 years of experience in a data engineering role
• Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries
• High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations
• Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus
• Experience with data exploration, profiling, governance, visualization, and activation
• Proven ability to thrive in an ambiguous and rapidly changing environment
• Experience working with sensitive data in a regulated environment
• You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week.
Preferred:
• Expertise in healthcare and/or revenue cycle management is a plus
Company:
Virtual behavioral health clinic for high acuity youth Founded in 2020, the company is headquartered in Bozeman, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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