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Dagster Jobs (NOW HIRING)

Irvine Company

Data Engineer - Contract ($65 - $95)

Irvine, CA · On-site

$121K - $145K/yr

... Dagster assets to orchestrate dbt model execution, including implementing schedules and sensors. • Monitor pipeline health through the Dagster UI and resolve execution failures. • Build and ...

Blue Learning

Data Engineer

Lewisville, TX · On-site

$75K - $93K/yr

Use Dagster to schedule, monitor, and manage workflows, ensuring errors are caught early. * Database Management: Work across both SQL Server and Google BigQuery , managing data structures and ...

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 ...

Group1001

Staff ML Engineer

Zionsville, IN · On-site

Snowflake, Dagster, Coalesce, Palantir and AWS SageMaker. This role is for engineers who are as passionate about infrastructure, deployment, and operationalizing ML as they are about the models ...

Billee Technologies, Inc

Senior Data Engineer

Dallas, TX · On-site +1

$98K - $133K/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 ...

Group1001

Staff ML Engineer

Zionsville, IN

Snowflake, Dagster, Coalesce, Palantir and AWS SageMaker. This role is for engineers who are as passionate about infrastructure, deployment, and operationalizing ML as they are about the models ...

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 ...

Consensus

Data Engineer (San Francisco)

San Francisco, CA · On-site

$160K - $230K/yr

Dagster is a plus. * Proven ability to ingest from multiple sources and produce clean, well‑modeled datasets. * Familiar with GitHub + CI/CD and data observability practices (validation, logging ...

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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 August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution.

Data Engineer - Contract ($65 - $95)

Irvine Company

Irvine, CA • On-site

$121K - $145K/yr

Full-time

Re-posted 18 days ago

Job description

Job Summary:
Irvine Company is a privately held real estate investment company committed to creating and sustaining thriving communities. They are seeking a Data Engineer to develop dimensional models, ensure data quality, and maintain data delivery for analytics on a Snowflake platform.
Responsibilities:
• Design and develop dbt models following the medallion architecture (bronze > silver > gold layers).
• Build dimensional models, including fact and dimension tables, for analytics consumption.
• Implement and maintain data quality tests using dbt’s testing framework.
• Optimize SQL transformations within dbt for performance in Snowflake.
• Write and maintain schema documentation with model and column descriptions, and apply dbt best practices (refs, sources, macros, tags).
• Configure and maintain Dagster assets to orchestrate dbt model execution, including implementing schedules and sensors.
• Monitor pipeline health through the Dagster UI and resolve execution failures.
• Build and maintain bespoke Python-based ingestion pipelines for source systems without native connector support.
• Participate in code reviews for dbt models and Dagster configurations, and use tools like sqlfluff for code quality.
• Collaborate with analysts and data consumers, and document data models, transformation logic, and operational procedures.
Qualifications:
Required:
• Strong SQL skills with ability to write and optimize analytical queries
• Python proficiency for building data ingestion pipelines and scripting
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• Experience with dbt or willingness to learn quickly (we use dbt extensively)
• Familiarity with data warehousing concepts on Snowflake, BigQuery, or similar
• Comfort with Git-based development workflows
• Experience with dbt in a production environment
• Familiarity with dimensional modeling (fact and dimension tables)
• Experience with layered data architectures (staging, intermediate, mart patterns)
• Exposure to workflow orchestration tools (Dagster, Airflow, Prefect)
• Understanding of data quality testing approaches
Preferred:
• 3 - 5 years in analytics engineering or data engineering
Company:
The Irvine Company is a real-estate investment company. Founded in 1864, the company is headquartered in Newport Beach, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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