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Flexible Dagster Jobs (NOW HIRING)

NY · On-site

$120 - $165/hr

Use Dagster or Airflow to orchestrate data workflows; * Review technical designs and contribute to ... Flexible work options, including remote and hybrid opportunities; * Referral program for bringing ...

Backed by a16z, we're replacing legacy systems with a modern, flexible platform that helps carriers ... Infra: K8s, ArgoCD, Kargo, Temporal, Dagster * Data: Postgres, Dynamo, Snowflake Benefits

Experience with Dagster or other orchestration tools * Experience utilizing AI Codegen to improve ... Flexible, hybrid work environment at our convenient Soho location * Unlimited Vacation * 100% paid ...

BigQuery, SQLMesh, Python, Dagster- is distinct from Splice's web engineering stack, and effective ... Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide.

Use Dagster, dbt, and other tools to transform and model raw data into a structured format for ... Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending ...

Lead Data Engineer

San Francisco, CA · On-site

$120K - $159K/yr

Experience with orchestration tools such as Airflow, Oozie, or Dagster and distributed processing ... be flexible working across time zones when necessary. Travel Requirements As needed travel to ...

Experience with Dagster or other orchestration tools * Experience utilizing AI Codegen to improve ... Flexible, hybrid work environment at our convenient Soho location * Unlimited Vacation * 100% paid ...

Data Engineer

Chicago, IL · On-site

$134K/yr

Use Dagster, dbt, and other tools to transform and model raw data into a structured format for ... Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending ...

Lead Data Engineer

San Francisco, CA · On-site

$120K - $159K/yr

Experience with orchestration tools such as Airflow, Oozie, or Dagster and distributed processing ... be flexible working across time zones when necessary. Travel Requirements As needed travel to ...

Data Engineer

Cupertino, CA · On-site

$180K - $235K/yr

Have used data orchestration tools like Flyte, Airflow, Prefect, or Dagster This role requires ... Taking care of you today: - Continuing Education Opportunities - Flexible PTO - Medical, Dental and ...

Data Engineer

San Francisco, CA · Hybrid

$180K - $235K/yr

Have used data orchestration tools like Flyte, Airflow, Prefect, or Dagster This role requires ... Taking care of you today: - Continuing Education Opportunities - Flexible PTO - Medical, Dental and ...

Data Engineer

San Francisco, CA · On-site

$140K - $180K/yr

Fivetran, dagster, dlt, terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane) * Build ... Flexible time off policy. Take the time off you need! * Paid bonding time for all new parents

Senior Staff Software Engineer, Data

OR · On-site +1

$105K - $143K/yr

Hands-on experience with dbt and orchestration tools like Airflow or Dagster. * Experience ... Flexible work environment * Unlimited Vacation (if salaried) / Competitive PTO (if hourly) * 100 ...

Machine Learning Engineer

Sunnyvale, CA · Hybrid

$195K - $264K/yr

This is a hybrid role based in our Sunnyvale, CA location with a flexible hybrid work schedule of 2 ... Production experience with workflow orchestration tools (Airflow, Dagster, Prefect) * Proficiency ...

Experience with dbt and a modern orchestrator (Dagster, Airflow, or similar). Benefits and Perks ... Flexible working hours * Professional development stipend * Flexible time off * Cell phone service ...

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Flexible Dagster information

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$7

$14

$19

How much do flexible dagster jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for flexible dagster in the United States is $14.22, according to ZipRecruiter salary data. Most workers in this role earn between $11.78 and $16.11 per hour, depending on experience, location, and employer.

What is the difference between Flexible Dagster vs Data Engineer?

AspectFlexible DagsterData Engineer
Required CredentialsKnowledge of data orchestration tools, Python skillsDegree in Computer Science or related field, experience with databases and ETL processes
Work EnvironmentData teams, cloud platforms, data pipelinesData teams, cloud or on-premises infrastructure, data warehouses
Industry UsageData pipeline orchestration, workflow automationBuilding, maintaining, and optimizing data infrastructure

Flexible Dagster focuses on orchestrating and automating data workflows using tools like Dagster, often requiring Python skills. Data Engineers design and build data systems, requiring broader technical expertise and formal education. While both roles work within data environments, Flexible Dagster specialists primarily manage workflows, whereas Data Engineers develop the infrastructure behind data processing.

More about Flexible Dagster jobs

What cities are hiring for Flexible Dagster jobs?

Cities with the most Flexible 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 Flexible Dagster jobs?

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

Infographic showing various Flexible Dagster job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, and 3% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $29,569 per year, or $14.2 per hour.

Full-time

Medical, Dental, Vision

Posted 4 days ago


Job description

This position is not eligible for current or future employment visa sponsorship.
Our client is seeking a Senior Data and Backend Engineer to join their team. This role will be split between data engineering and product/backend engineering and is ideal for an experienced engineer who enjoys building reliable data infrastructure while also contributing directly to a growing product.
You'll join a small, experienced technical team and take ownership of the systems that move, structure, and secure critical data. The ideal candidate brings strong backend engineering experience, deep practical knowledge of data pipelines, and the ability to make thoughtful architectural decisions in a fast-moving environment.
Tech Stack
  • Python + Django
  • TypeScript + React
  • PostgreSQL
  • AWS
  • Snowflake
  • Dagster

Key Responsibilities
  • Work hands-on within the existing Snowflake, Dagster, and AWS environment, simplifying unnecessary complexity and making architectural decisions that support scalability and reliability.
  • Design, build, and maintain automated ETL pipelines that transform varied source data into structured, reliable outputs.
  • Build orchestration and observability capabilities, including logging, error reporting, monitoring, and dashboards, to identify and resolve issues early.
  • Design repeatable and secure data integrations with external systems while minimizing data requirements and implementation burden.
  • Partner with security and compliance stakeholders to ensure sensitive data is appropriately protected, access controls are enforced, and regulated data is handled securely.
  • Contribute beyond the data layer by working on backend data models, services, integrations, and APIs.
  • Collaborate closely with a small technical team on architecture, product development, and technical problem-solving.
  • Communicate effectively in an asynchronous environment through clear updates, technical documentation, design diagrams, code reviews, and prototypes.
  • Take ownership of technical decisions while remaining comfortable contributing across different areas of the stack.

Expected Experience
  • 7+ years of experience building automated ETL and data pipelines.
  • Strong backend development experience using Python and frameworks such as Django, Flask, or FastAPI.
  • Experience developing REST APIs and working extensively with SQL.
  • Strong experience with orchestration tools such as Airflow, Dagster, Prefect, or AWS Step Functions.
  • Knowledge of modern data warehousing patterns and technologies. Snowflake experience is a plus.
  • Strong cloud infrastructure experience, preferably AWS.
  • Practical experience working across multiple types of data stores, including object storage, key-value stores, and relational databases, particularly PostgreSQL.
  • Experience with authentication, authorization, and the secure handling of sensitive data in regulated environments such as healthcare or financial services.
  • Solid operations fundamentals, including CI/CD and containerized development workflows.
  • Strong understanding of data structures, algorithms, and system design principles.
  • Experience incorporating AI-forward development practices into engineering workflows.

What We're Looking For
We're looking for someone who is technically strong, deeply curious, and proactive. You should be comfortable taking ownership, identifying opportunities to improve existing systems, and working collaboratively without requiring a highly structured environment.
Because the team is small, this role is best suited for a generalist who has deep backend and data expertise but is also willing to contribute wherever needed.
Location & Compensation
  • 100% remote within the United States
  • Biannual team retreats
  • Competitive base salary
  • Stock options

Benefits
  • Health, dental, and vision insurance
  • Flexible working hours
  • Family leave