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Dagster Jobs (NOW HIRING)

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 ...

Data Scientist

Manhattan, NY · On-site

$200 - $225/hr

Dagster for all things orchestration * dbt-core within Dagster as the primary data transformation surface * Spark, Iceberg, Trino, AWS Glue for Lakehouse workloads * Modal for ML eng * Frontier + OSS ...

New

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Design, build, and orchestrate robust and reliable data workflows using tools such as Apache Airflow, dbt, Prefect, or Dagster. * Cloud Platform Familiarity : Work comfortably in cloud environments ...

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 ...

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

... Dagster • Docker Company : YieldStreet is an investment platform providing access to private market assets like real estate, credit, and alternative investments. Founded in 2015, the company is ...

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Contribute to orchestration design and implementation (Airflow, Dagster, Prefect) * Support DBT development and CI/CD practices * Tune BigQuery performance and manage access/security controls

Data Engineer

$117K - $140K/yr

Build and operate robust data pipelines for ingestion, cleaning, and transformation using Databricks, Airflow, or Dagster. * Develop efficient ETL/ELT workflows in Python and SQL to support both ...

Snowflake DBT Data Engineer

Irvine, CA · On-site

$122K - $147K/yr

Orchestration CICD Integrate the DBT project with orchestration tools eg Dagster and establish CICD pipelines eg BitBucket for reliable automated deployment of code from development to production ...

New

Sr Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... Dagster). • Collaborate with machine learning, client-facing, product, application, and analytics teams to understand requirements, support ML feature productionization, and enable self-service ...

K8s, ArgoCD, Kargo, Temporal, Dagster * Data: Postgres, Dynamo, Snowflake Benefits * Competitive salary and equity, with 10 year exercise window for stock options * Remote-first culture built on ...

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Contribute to orchestration design and implementation (Airflow, Dagster, Prefect) * Support DBT development and CI/CD practices * Tune BigQuery performance and manage access/security controls

Sr Data Engineer

New York, NY · Hybrid

$125K - $150K/yr

Build, optimize, and maintain ETL/ELT processes for both batch and near-real-time workloads, orchestrated with modern workflow tools (e.g., Airflow, Dagster). * Collaborate with machine learning ...

Data Engineer

New York, NY · On-site

$140K - $260K/yr

Optimize performance and costs across Snowflake, Clickhouse, AWS, dbt, and Dagster * Own data quality by implementing monitoring, alerting, and validation * Manage and extend infrastructure ...

Analytics Engineer

New York, NY · On-site

$140K - $190K/yr

Design, build, document, and maintain reliable data pipelines using dbt, Dagster, Redshift, and related tools. * Transform raw data into trusted, canonical datasets for reporting, analysis ...

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Develop and orchestrate pipelines using tools such as Dagster or Airflow, and manage transformations with dbt. * Apply CI/CD and sound software engineering practices (version control, testing, code ...

Data & Analytics Engineer, AiDP

Austin, TX

$113K - $136K/yr

... Dagster Optimize pipelines and queries for performance, scalability, and cost efficiency Contribute to the design of the data architecture supporting AI agents and autonomous workflows Enable self ...

Showing results 41-60

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.

Senior Software Engineer

Arya Health

New York, NY • On-site

$160K - $200K/yr

Full-time

Medical, PTO

Re-posted 8 hours ago


Job description

Our mission is simple but ambitious: to use AI to fix the broken economics and lost humanity of care. If you want to move fast and help build the future of healthcare with heart, you belong at Arya.
About the Role
We're looking for a Senior Software Engineer focusing on Data to join our team and build the pipelines and systems that power Arya's workforce platform. You'll work with modern data and automation tools to design and implement high-performance, scalable integrations between our platform and customer systems. This includes integrating with APIs, file-based systems, and RPA (Robotic Process Automation) workflows to handle scenarios where APIs aren't available or data is locked in legacy systems. As a senior member of the engineering team, you'll lead data projects end-to-end, ensuring our data is accurate, timely, and reliable-driving the experiences our customers depend on.
What You'll Do
  • 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 queries and schemas for performance at scale.
  • Implement monitoring and alerting to ensure data quality and availability.
  • Collaborate with Product, DevOps, and QA to deliver reliable integrations quickly.
  • Document integration patterns and help evolve our data platform architecture.
  • Provide technical leadership and mentorship to other engineers working on data systems.

What We're Looking For
  • 5+ years of experience in software engineering with a focus on data systems or backend integrations.
  • Expert in SQL and proficient with Postgres optimization.
  • 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).
  • Experience with RPA tools (e.g., UiPath, Automation Anywhere, Blue Prism) is a strong plus.
  • Clear communication skills and a collaborative mindset.

Nice to Have
  • Experience with streaming data systems (Kafka, Pub/Sub).
  • Exposure to data governance or compliance in regulated industries.
  • Contributions to open-source data or integration tooling.

What to Expect in the First 90 Days
By Day 15 - Onboarding & Environment Setup
  • Fully onboarded into Arya's development environment and tooling.
  • Access to and understanding of existing Airbyte/Dagster pipelines, Postgres schemas, and RPA workflows.
  • Shadow a senior team member on one live deployment.
  • Ship at least 1 minor bug fix or small improvement to an existing integration.
  • Review integration documentation and begin drafting notes on areas for improvement.

By Day 30 - Initial Contributions & Familiarity
  • Ship your first net-new integration (API, file-based, or RPA) into staging or production.
  • Implement basic monitoring or alerting improvements for an existing pipeline.
  • Partner with Product to map integration requirements for an upcoming customer.
  • Deliver a performance analysis on at least one critical data flow and propose optimization.
  • Begin contributing to code reviews for data-related pull requests.

By Day 60 - Ownership of Integration Scope
  • Fully own a subset of data integrations from development through monitoring.
  • Ship at least 1 high-impact performance improvement (e.g., reduced latency, improved throughput).
  • Deploy an RPA-based integration into production for a customer with limited API access.
  • Document integration processes and edge cases for assigned systems.
  • Participate in customer onboarding calls to understand integration pain points.

By Day 90 - Scaling & Strategic Impact
  • Design and implement an automation to streamline integration deployment or monitoring.
  • Lead a cross-functional initiative to improve data quality or reduce integration failures by 25%+.
  • Propose and implement schema or architecture changes to support future integrations at scale.
  • Mentor a junior engineer or new hire on Arya's data engineering stack.
  • Present a "State of Data Systems" review to the engineering team, outlining current health, risks, and opportunities.

OUR VALUES
You will thrive at Arya if you can:
1. Think Like a Customer
We win by making our customers feel like superheroes. This means we must always view our decisions, actions and communication through the lens of our customers.
2. Find Small Wins Everyday
We believe that speed of making decisions and taking action have a compounding effect. A series of quick, small, daily wins add up to big ones over time, and the absence of these can add up to big losses.
3. Teach and Learn Consistently
We believe that giving context and sharing expertise is everyone's responsibility. We find time to talk about the Why and How of what we do in every interaction.
4. Be Prepared
We believe that progress cannot be left to chance and sudden flashes of genius. We put in the time and effort to prepare ourselves and others to make the most of every opportunity.
5. Communicate Simply
We communicate to be understood. This means that in a complex, global and busy world, we work hard to express our ideas in ways that others find simple and intuitive.
6. Be Kind
We believe that being exceptional and being kind are not mutually exclusive. We strive to treat others with empathy, kindness and respect, even in the most challenging of times.
WHAT WE OFFER
Arya is committed to being transformative to the careers of those who share our values, and are looking to build a generational business. We offer:
The Basics:
  • Competitive salary + equity
  • Comprehensive health and wellness benefits
  • Flexible PTO and generous parental leave
  • Performance-based incentives
  • Wellhub subscription with access to premium fitness facilities, team workouts

The Multipliers:
  • Be part of a company that treats its values as its biggest priority
  • Learn more about building and scaling a business in months than others will in years
  • Have ownership, influence and impact that runs far and wide
  • Work flexibly, with a focus on progress over activity
  • Never sacrifice your mental health- while we work hard, we're committed to avoiding burnout at all costs

Arya Health provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.