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Remote Dagster Jobs (NOW HIRING)

Data Engineer II (Remote US)

New York, NY · Remote

$125K - $150K/yr

REMOTE- US THE ROLE: We're looking for a Data Engineer II to join Splice's Data Engineering team ... BigQuery, SQLMesh, Python, Dagster- is distinct from Splice's web engineering stack, and effective ...

Data Engineer II (Remote US)

$117K - $140K/yr

REMOTE- US THE ROLE: We're looking for a Data Engineer II to join Splice's Data Engineering team ... BigQuery, SQLMesh, Python, Dagster- is distinct from Splice's web engineering stack, and effective ...

Software Engineer, Growth Data Platform

San Francisco, CA · On-site +1

$134K - $162K/yr

Debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream ... If you are based anywhere else in the US, the role is remote. Why join us * Passionate, close-knit ...

REMOTE- US THE ROLE: We're looking for a Data Engineer II to join Splice's Data Engineering team ... BigQuery, SQLMesh, Python, Dagster- is distinct from Splice's web engineering stack, and effective ...

Data Engineer (Remote / Contract)

OR · On-site +1

$114K - $137K/yr

This is a fully remote, 40-hour per week contract position with the opportunity to shape the future ... Temporal, or Dagster * Familiarity with Google Cloud or AWS big data products We're open to ...

Senior Data Engineer

$108K - $147K/yr

This is a remote position open to candidates residing in the US. Relocation assistance will not be ... Strong command of at least one data orchestration tool (e.g Airflow, Dagster, or Prefect)

Title: Data Governance Consultant Duration: 6 Month Contract to Hire Job Mode: 100% Remote Note ... Experience using Dagster . * Knowledge of data mesh concepts. * Experience with governance tool ...

$80K - $110K/yr

Join a fully remote, mission-driven climate technology environment where machine learning and ... Use tools such as QGIS, Dagster, Sentry, Grafana, or equivalent platforms to analyze data, manage ...

Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Senior Data Engineer

$108K - $147K/yr

This is a remote position open to candidates residing in the US. Relocation assistance will not be ... Strong command of at least one data orchestration tool (e.g Airflow, Dagster, or Prefect)

Senior Staff Software Engineer, Data

OR · On-site +1

$105K - $143K/yr

This is a senior individual contributor role open to remote candidates across the United States ... Hands-on experience with dbt and orchestration tools like Airflow or Dagster. * Experience ...

Senior Data Engineer

$108K - $147K/yr

Remote-first flexibility. * The opportunity to help build an AI-native product from the ground up ... Experience with orchestration (Temporal, Airflow, Dagster) and large-scale data operability.

Senior Data Engineer

San Francisco, CA · On-site +1

$124K - $169K/yr

Learn more in our CEO's funding announcement: We're a small, remote-first team. We take ownership ... Experience building and operating orchestrated pipelines (Dagster, Airflow, or similar) and ...

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Remote Dagster information

What is a remote Dagster?

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 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.

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.
More about Remote Dagster jobs

What cities are hiring for Remote Dagster jobs?

Cities with the most Remote 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 Remote Dagster jobs?

States with the most job openings for Remote Dagster jobs include:

Infographic showing various Remote Dagster job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution.

Data Engineer II (Remote US)

Splice

New York, NY • Remote

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

WHO WE ARE:  

Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators.

HOW WE WORK:  

At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that's thrown at us.
Splice embraces a culture of remote work. You'll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers.
When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready?

JOB TITLE: Data Engineer II 
LOCATION: REMOTE- US


THE ROLE: 

We're looking for a Data Engineer II to join Splice's Data Engineering team and help scale the platform that powers creator payouts, revenue reporting, and product analytics across Splice's product lines.

Data Engineering builds and maintains the reliable foundation that makes trusted data possible, enabling teams across Splice to work from a governed, consistent source of truth. We are accountable for the warehouse and pipeline foundation; ingestion, transformations, and the standards and quality guardrails that keep data consistent, timely, and usable. This is a mid-level, high-ownership role: engineers here carry features from technical design through delivery, monitoring, and documentation, and participate in our on-call rotation.

The work requires hands-on data engineering experience. Our stack; BigQuery, SQLMesh, Python, Dagster- is distinct from Splice's web engineering stack, and effective contribution requires domain expertise in data pipeline systems, not general software engineering background.

TEAM INFORMATION: 

You'll be joining Splice's Data Engineering team, a small, embedded platform team responsible for the pipelines, transformations, and warehouse infrastructure the rest of the company depends on. Our systems support finance-critical processes (contributor payouts, GAAP revenue reporting), product analytics, and data reliability for customer-facing features like recommendations. We operate with a shared on-call rotation and a strong bias toward observable, well-documented, durable systems.

WHAT YOU'LL DO: 

Pipeline Development & Transformation

  • Build and maintain data models in SQLMesh, including incremental strategies, testing, and documentation
  • Continuously improve and evolve our orchestration and transformation infrastructure as the platform scales
  • Modernize legacy pipeline jobs in Python and SQLMesh, reducing technical debt over time

Reliability & Observability

  • Participate in on-call rotation; triage and resolve incidents including ETL failures, data unavailability, and core metric breakage
  • Build introspectable software: define alert thresholds, emit metrics and logs, produce dashboards, and establish closed-loop escalation paths
  • Improve observability across the platform so failures are caught early and resolved quickly

Finance & Revenue Pipelines

  • Extend and maintain pipelines powering creator payouts and GAAP-compliant revenue reporting across Splice's product lines
  • Build pipeline support for new revenue streams as Splice launches them

Platform Quality & Optimization

  • Improve query performance and reduce compute costs in BigQuery
  • Contribute to ingestion platform work and product analytics infrastructure
  • Uphold our definition of done: validation complete, documentation updated, monitoring in place before closing a ticket

JOB REQUIREMENTS:

  • 3+ years of hands-on data engineering experience in a production environment
  • Proficiency in SQL — window functions, CTEs, query optimization, execution plan analysis
  • Proficiency in Python for pipeline logic, data transformation, and testing (maintainable code, not just scripts)
  • Experience with a modern transformation framework — SQLMesh, dbt, or equivalent — including incremental models, testing, and documentation
  • Production experience with a cloud data warehouse (we use BigQuery); understands partitioning, clustering, and cost management
  • Experience with at least one workflow orchestrator (Dagster, Airflow, Prefect, or equivalent)
  • Demonstrated ability to build observable, reliable data systems — alerting, dashboards, and data quality checks
  • Comfortable owning small-to-medium features from technical design through delivery with limited guidance

SPLICE BENEFITS: 

  • Compensation & Equity: Competitive pay with annual reviews and equity opportunities.
  • Time Off: Unlimited PTO to recharge and thrive.
  • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents.
  • Retirement Savings: 401(k) plan with immediate vesting and company match.
  • Parental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents.
  • Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide.
  • Professional Growth: Annual learning budget, leadership programs, and team ambassador opportunities.
  • Community & Connection: Inclusive events, team meet-ups, and vibrant Employee Resource Groups.

The national pay range for this role is $94,952 - $118,690. Individual compensation will be commensurate with the candidate's experience.

Splice is an Equal Opportunity Employer 
Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.