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Remote Dagster Jobs (NOW HIRING)

Data Engineer (Remote)

Irvine, CA ยท 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 ...

Senior Agentic AI Data Architect

$68.75 - $92/hr

Remote within the U.S. (excluding CA, MA, NJ), with flexibility for hybrid or in-office work where ... Orchestrate data/AI pipelines with Dagster or Prefect. * Integrate LLM providers (OpenAI, Anthropic ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Dagster, Airflow (Provider-level). * Semantic Layer: Stardog, Apache Jena, GraphQL Federation.

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Dagster, Airflow (Provider-level). * Semantic Layer: Stardog, Apache Jena, GraphQL Federation.

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Dagster, Airflow (Provider-level). * Semantic Layer: Stardog, Apache Jena, GraphQL Federation.

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Dagster, Airflow (Provider-level). * Semantic Layer: Stardog, Apache Jena, GraphQL Federation.

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Dagster, Airflow (Provider-level). * Semantic Layer: Stardog, Apache Jena, GraphQL Federation.

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Dagster, Airflow (Provider-level). * Semantic Layer: Stardog, Apache Jena, GraphQL Federation.

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Dagster, Airflow (Provider-level). * Semantic Layer: Stardog, Apache Jena, GraphQL Federation.

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Dagster, Airflow (Provider-level). * Semantic Layer: Stardog, Apache Jena, GraphQL Federation.

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Dagster, Airflow (Provider-level). * Semantic Layer: Stardog, Apache Jena, GraphQL Federation.

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Dagster, Airflow (Provider-level). * Semantic Layer: Stardog, Apache Jena, GraphQL Federation.

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Dagster, Airflow (Provider-level). * Semantic Layer: Stardog, Apache Jena, GraphQL Federation.

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Dagster, Airflow (Provider-level). * Semantic Layer: Stardog, Apache Jena, GraphQL Federation.

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Dagster, Airflow (Provider-level). * Semantic Layer: Stardog, Apache Jena, GraphQL Federation.

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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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What cities are hiring for Remote Dagster jobs? Cities with the most Remote Dagster job openings:
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What states have the most Remote Dagster jobs? States with the most job openings for Remote Dagster jobs include:
Data Engineer (Remote)

Data Engineer (Remote)

Reveel

Irvine, CA โ€ข Remote

$115K - $150K/yr

Full-time

Posted 10 days ago


Job description

We are looking for a Data Engineer to help us expand and maintain our data infrastructure.

We're seeking a junior to mid-level Data Engineer to join our small but mighty team. This role is all about building and optimizing ETL workflows in Snowflake using Snowpark, managing parcel logistics data, and keeping our backend pipelines reliable. You'll be working directly with the CTO and will quickly get exposure to high-value projects that impact our core product.

This person should be familiar with Git and comfortable working in a backend-focused role. Experience with SQL and Python is still useful, but on the job you'll primarily be using Snowpark to write and orchestrate data transformations. 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 task without detailed direction on how it should be accomplished. While the ideal candidate should be capable and independent, they will be part of a supportive and friendly team dedicated to mutual success.

Minimum Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field (or equivalent experience)

  • U.S. citizen and currently residing in the United States

Key Responsibilities
  • Develop and maintain ETL workflows in Snowflake using Snowpark

  • Write and optimize transformations to support reporting and analytics

  • Manage code in Git and contribute to a clean, well-documented codebase

  • Orchestrate data workflows with Dagster

  • Parse and process parcel logistics data in formats such as CSV, JSON, and EDI

  • Work directly with the CTO in 2-week sprint cycles

Preferred Skills
  • Snowflake (Snowpark)

  • Git

  • SQL

  • Python

  • Dagster (or similar orchestration tools like Airflow/dbt)

Bonus if Familiar With
  • Parcel logistics or shipping data

  • EDI feeds and schemas

  • Data pipelines in a SaaS product environment

About Us

We are the leading parcel shipping analytics company, pioneering Parcel Spend Management (PSM 2.0). Candidly, the logic behind shipping data is insane and very hard to understand! We make that easy for our customers by creating amazing software.

Since 2006, Reveel has been dedicated to providing Shipping Intelligence for the smartest business decisions possible. Founded by former DHL sales executives, Reveel was created to level the playing field. Over the past decade-plus, our zero-risk services have saved our clients millions of dollars.