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Remote 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 ...

OmegaHires

Data Engineer

$75 - $100/hr

Experience with orchestration (Airflow, Dagster, Prefect, or cloud-native schedulers) * Understanding of dimensional modeling and incremental loads * Remote in the United States Preferred ...

TMS

Data Architect - Active Metadata

Menlo Park, CA · Remote

$90 - $95/hr

Menlo Park, CA (Remote) Role Type: Contract Experience: 12+ Years Role Overview: We are seeking a ... Dagster, Airflow (Provider-level). - Semantic Layer: Stardog, Apache Jena, GraphQL Federation ...

Connect Tech+Talent

Data Architect

Menlo Park, CA · Remote

$75.25 - $96.75/hr

Menlo Park, CA (Remote) Experience: 12+ Years Role Overview: We are seeking a visionary to ... Dagster, Airflow (Provider-level). - Semantic Layer: Stardog, Apache Jena, GraphQL Federation ...

vantagerisk

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

This role reports to our Data Engineering Lead and is a remote opportunity/hybrid opportunity where ... Pipeline development using dagster. * Talent for identifying the specific records that are produced ...

SumerSports LLC

Data Engineer

$117K - $140K/yr

Experience with workflow orchestration tools such as Airflow, Dagster, Luigi or Prefect. * Deep ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

Anysphere, Inc

Analytics Platform Engineer

New York, NY · On-site +1

Remote Apply Our mission is to automate coding. The first step in our journey is to build the best ... Make Dagster and related orchestration infrastructure reliable, observable, and ergonomic for a ...

SW5 Consulting

Senior Data Engineer

New York, NY · Remote

$150K - $230K/yr

Remote (U.S.) or New York City Type: Full-Time We're seeking a talented Senior Data Engineer to ... Familiarity with DAG tools like Airflow, dbt, or Dagster * Comfort jumping between reporting layers ...

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Remote Dagster information

What is a Remote Dagster job?

A Remote Dagster job typically refers to a position where an individual works remotely to design, implement, and maintain data pipelines using Dagster, an open-source data orchestration platform. These jobs involve managing workflows, integrating with various data sources, and ensuring data reliability and quality, all while collaborating with teams virtually. Remote Dagster engineers or data engineers focus on building scalable and maintainable pipelines that automate data processing, often working across cloud environments or distributed systems.

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

To thrive as a Remote Dagster Engineer, you need strong skills in Python programming, data engineering, and experience with workflow orchestration, ideally backed by a degree in computer science or a related field. Familiarity with Dagster, cloud platforms (such as AWS, GCP, or Azure), containerization tools like Docker, and CI/CD systems is typically required. Excellent problem-solving abilities, clear communication, and self-motivation are crucial soft skills for working remotely and collaborating with distributed teams. These skills ensure the reliable design, deployment, and maintenance of data pipelines that are critical for modern data-driven organizations.

What are some common challenges faced by Remote Dagster Engineers, and how can they be addressed?

Remote Dagster Engineers often encounter challenges such as coordinating data pipeline deployments across distributed teams and ensuring reliable data flow in cloud-based environments. Effective communication with team members and stakeholders is crucial, as is maintaining clear documentation and using collaborative tools like Slack or Jira. Additionally, proactively monitoring pipeline performance and scheduling regular virtual check-ins help ensure smooth operations. Leveraging Dagster's modular design and testing features can further reduce errors and streamline workflows.
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Remote Dagster jobs near you

Senior Data Engineer

TECHOAUTH SOLUTIONS LLC

Fort Worth, TX • On-site, Remote

$70K - $120K/yr

Full-time

Posted 29 days ago

Job description

Benefits:
  • Bonus based on performance
  • Tuition assistance

Job Title: Senior Data Engineer
Company: Techoauth Solutions LLC
Location: Fort Worth, TX (Hybrid)
Job Summary
Techoauth Solutions is seeking a Senior Data Engineer to design and maintain scalable data pipelines supporting AI-driven analytics and data platforms. This role will work closely with engineering and analytics teams to ensure reliable, secure, and high-performance data systems.
Responsibilities
  • Design and build scalable ETL/ELT pipelines using Python and modern data tools
  • Develop and optimize data models using PostgreSQL

  • Write efficient SQL queries and improve data performance
  • Manage data workflows using Dagster, Airflow, DBT, or AWS Glue

  • Monitor pipeline health and troubleshoot data issues
  • Work with AWS services such as Athena, Glue, SQS, SNS, IAM, and CloudWatch

  • Maintain data quality, governance, and security standards

  • Document data pipelines, workflows, and system architecture
  • Collaborate with cross-functional teams and mentor junior engineers
Requirements
  • Bachelors degree in Computer Science, Data Engineering, or related field

  • 5+ years of experience building production data pipelines
  • Strong SQL skills with PostgreSQL or similar databases

  • Experience with Python and data processing frameworks

  • Experience with ETL/ELT tools such as DBT, Dagster, Airflow, or AWS Glue

  • Knowledge of AWS cloud services

  • Experience with GitHub and CI/CD workflows

  • Strong analytical, problem-solving, and communication skills
Preferred
  • Experience with healthcare data or HIPAA compliance

  • Experience working with AI or machine learning data platforms

Work Environment
  • Hybrid work model (Fort Worth office + remote work)

  • Standard business hours with occasional on-call support for data pipeline incidents.

This position is temporarily remote.