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Dagster Jobs (NOW HIRING)

Data Platform Engineer

Los Angeles, CA · On-site

$170K - $300K/yr

Own Dagster orchestration, dbt transformation, data CI/CD, backfills, lineage, observability, and offline feature datasets for ML. * Collaborate with Manufacturing Operations and Infrastructure to ...

New

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... Dagster or Airflow, ensuring reliable scheduling, retries, and alerting • Build monitoring and alerting for data inconsistencies: duplicate records, mismatched member IDs, enrollment timing gaps ...

Analytics Engineer

Newton, KS · 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 ...

This is a hands-on engineering role: you'll own dbt models, build and maintain Dagster pipelines, and work directly with claims and provider data across a growing partner network. You'll work closely ...

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Design, build, and maintain data pipelines in Dagster to support AI model training, validation, and regulatory submission workflows. * Write and optimize SQL for data transformation, modeling, and ...

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Design, build, and maintain data pipelines in Dagster to support AI model training, validation, and regulatory submission workflows. * Write and optimize SQL for data transformation, modeling, and ...

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 ...

Data Engineer

Lincoln, NE · Hybrid

$100K/yr

Pipeline Reliability and Observability Run and monitor Dagster orchestration - scheduling, retries, failure alerting - and grow into fuller ownership of it, including SLA monitoring, over time. ...

This is a hands-on engineering role: you'll own dbt models, build and maintain Dagster pipelines, and work directly with claims and provider data across a growing partner network. You'll work closely ...

Software Engineer, Data Infrastructure

$117K - $140K/yr

Preferred : • Familiarity with our stack, including Golang, Python, SQL, frameworks such as dbt, and technologies like Spark, Kafka, Snowflake, and Dagster. • Experience building data ...

Senior Software Engineer

Manhattan, NY · On-site

$120 - $150/hr

Hands‑on experience with Airbyte, Dagster, or similar tools. * Strong programming skills in Node.js or Python. * Familiarity with CI/CD pipelines and cloud environments (GCP preferred)

Software Engineer, Data Infrastructure

$117K - $140K/yr

Preferred : • Familiarity with our stack, including Golang, Python, SQL, frameworks such as dbt, and technologies like Spark, Kafka, Snowflake, and Dagster. • Experience building data ...

Analytics Engineer

Newton, KS · On-site

$92K - $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 ...

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 ...

Fivetran, dagster, dlt, terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane) * Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses * Scale our ...

Showing results 21-40

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:
What are the most commonly searched types of Dagster jobs? The most popular types of Dagster jobs are:
What states have the most Dagster jobs? States with the most job openings for Dagster jobs include:
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.

Analyst, Enterprise Data

McLeod Software

Birmingham, AL • On-site

Full-time

Re-posted 26 days ago


Job description

Job Summary:
McLeod Software is a company that values its employees as its greatest competitive advantage. They are seeking an Enterprise Data Analyst responsible for designing and developing data architecture and performing data analysis to support business decision-making across the organization.
Responsibilities:
• Design, implement, and maintain data pipelines and ETL processes to support data reporting and dashboards.
• Organize, model, and store raw data in our data warehouse and data lake.
• Analyze and interpret data using statistical methods and tools.
• Create and maintain reports, dashboards, and visualizations to communicate findings to stakeholders
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Ensure the reliability, efficiency, and quality of data by developing and implementing processes for data cleaning, transformation, and validation.
Qualifications:
Required:
• Bachelor's degree and 2+ years of experience in data analysis, interpretation, and visualization; or an equivalent combination of education and experience, including 6+ years of experience in data analysis, interpretation, and visualization.
• Advanced proficiency with Microsoft Office Suite.
• Working knowledge of at least one major programming language (e.g., Python, C#, Java, or Scala) required.
• Proficiency with statistical analysis and data visualization tools (e.g., Tableau, Power BI, Looker) required.
• Familiarity with big data technologies and platforms such as Delta Lake, Spark, and Databricks required.
• Experience with SQL and relational databases is highly preferred.
• Knowledge of schema design, data modeling, and data analysis is preferred.
• Familiarity with data orchestration tools such as Dagster, Airflow, or Prefect is preferred.
Preferred:
• Experience with enterprise software or the transportation and logistics industry is a plus.
• Experience with SQL and relational databases is highly preferred.
• Knowledge of schema design, data modeling, and data analysis is preferred.
• Familiarity with data orchestration tools such as Dagster, Airflow, or Prefect is preferred.
• Preferred certifications in Azure, Power BI, Data Analytics, or Data Engineering include, but are not limited to: Azure Data Engineer Associate, Microsoft Power BI Data Analyst (PL-300), Microsoft Azure Fundamentals, DataCamp Data Engineer Certification, DataCamp Data Analyst Certification, DataCamp Data Scientist Certification, Other related cloud, analytics, or data engineering certifications.
Company:
McLeod Software is a provider of trucking software, transportation dispatch, accounting, operations & brokerage management software. Founded in 1985, the company is headquartered in Birmingham, USA, with a team of 501-1000 employees. The company is currently Late Stage.