20 of 20 Remote Dagster Jobs

Hands-on experience with data lakes, lakehouses, or components of the modern data stack. Exposure to MLOps tools and best practices. Exposure to workflow orchestration frameworks (e.g. Metaflow, Airflow, Dagster) Exposure to Kubernetes Experience working with unstructured data (e.g., logs, documents, images). Awareness of data governance, privacy standards, and high-security environments. Familiarity with containerization tools like Docker More ❯

Hands-on experience with data lakes, lakehouses, or components of the modern data stack. Exposure to MLOps tools and best practices. Exposure to workflow orchestration frameworks (e.g. Metaflow, Airflow, Dagster) Exposure to Kubernetes Experience working with unstructured data (e.g., logs, documents, images). Awareness of data governance, privacy standards, and high-security environments. Familiarity with containerization tools like Docker More ❯

Hands-on experience with data lakes, lakehouses, or components of the modern data stack. Exposure to MLOps tools and best practices. Exposure to workflow orchestration frameworks (e.g. Metaflow, Airflow, Dagster) Exposure to Kubernetes Experience working with unstructured data (e.g., logs, documents, images). Awareness of data governance, privacy standards, and high-security environments. Familiarity with containerization tools like Docker More ❯

Hands-on experience with data lakes, lakehouses, or components of the modern data stack. Exposure to MLOps tools and best practices. Exposure to workflow orchestration frameworks (e.g. Metaflow, Airflow, Dagster) Exposure to Kubernetes Experience working with unstructured data (e.g., logs, documents, images). Awareness of data governance, privacy standards, and high-security environments. Familiarity with containerization tools like Docker More ❯

Hands-on experience with data lakes, lakehouses, or components of the modern data stack. Exposure to MLOps tools and best practices. Exposure to workflow orchestration frameworks (e.g. Metaflow, Airflow, Dagster) Exposure to Kubernetes Experience working with unstructured data (e.g., logs, documents, images). Awareness of data governance, privacy standards, and high-security environments. Familiarity with containerization tools like Docker More ❯

practices across engineering teams. Passion for hands-on engineering—comfortable both whiteboarding architecture and prototyping in code. Deep, hands-on expertise with modern data stack technologies including AWS, Snowflake, Dagster, dbt, and Spark. Excellent collaboration and communication skills; able to engage both technical and non-technical audiences. Preferred: Understanding of the asset management business and/or financial markets. More ❯

Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift More ❯

Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift More ❯

Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift More ❯

Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift More ❯

Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift More ❯

recovery processes. Using MLOps tools (e.g., Vertex Pipelines, Kubeflow, Weights & Biases) for experiment tracking, model registry, and automated deployment. Leveraging Docker/Kubernetes and workflow orchestration tools (Airflow, Prefect, Dagster). Collaborating with product, design, and engineering teams to deliver ML features that directly impact customer experience. Translating model performance into business metrics (e.g., accuracy vs cost/latency More ❯

recovery processes. Using MLOps tools (e.g., Vertex Pipelines, Kubeflow, Weights & Biases) for experiment tracking, model registry, and automated deployment. Leveraging Docker/Kubernetes and workflow orchestration tools (Airflow, Prefect, Dagster). Collaborating with product, design, and engineering teams to deliver ML features that directly impact customer experience. Translating model performance into business metrics (e.g., accuracy vs cost/latency More ❯

recovery processes. Using MLOps tools (e.g., Vertex Pipelines, Kubeflow, Weights & Biases) for experiment tracking, model registry, and automated deployment. Leveraging Docker/Kubernetes and workflow orchestration tools (Airflow, Prefect, Dagster). Collaborating with product, design, and engineering teams to deliver ML features that directly impact customer experience. Translating model performance into business metrics (e.g., accuracy vs cost/latency More ❯

Enabling future scalability by establishing robust, modular foundations Experience Required: Snowflake expertise Solid data engineering expertise including strong SQL and Python Proficiency in DBT for transformation tasks Experience with Dagster or a similar orchestration tool Familiarity with Azure So What's Next? If you are an experienced Snowflake-focused Lead Data Engineer/Tech Lead and are available for More ❯

workflow logic for our SaaS apps. You’ll work hands-on across Python APIs, data workflows, and external system connectors, often starting from automation-generated code (FE automation and Dagster DSL). Your job is to make that code production-ready — fixing, extending, and integrating it with our broader architecture. You’ll also be the team’s AI development … Support teams. What we’re looking for Strong Python backend/API experience; SQL and data modelling skills. Proven integrations experience (APIs, SFTP, SharePoint, webhooks). Workflow orchestration (Temporal, Dagster) know-how. Track record using AI-assisted dev in production. Comfortable working with generated code and improving automation. Familiarity with CI/CD, Docker, cloud (Azure/AWS/ More ❯

workflow logic for our SaaS apps. You’ll work hands-on across Python APIs, data workflows, and external system connectors, often starting from automation-generated code (FE automation and Dagster DSL). Your job is to make that code production-ready — fixing, extending, and integrating it with our broader architecture. You’ll also be the team’s AI development … Support teams. What we’re looking for Strong Python backend/API experience; SQL and data modelling skills. Proven integrations experience (APIs, SFTP, SharePoint, webhooks). Workflow orchestration (Temporal, Dagster) know-how. Track record using AI-assisted dev in production. Comfortable working with generated code and improving automation. Familiarity with CI/CD, Docker, cloud (Azure/AWS/ More ❯

workflow logic for our SaaS apps. You’ll work hands-on across Python APIs, data workflows, and external system connectors, often starting from automation-generated code (FE automation and Dagster DSL). Your job is to make that code production-ready — fixing, extending, and integrating it with our broader architecture. You’ll also be the team’s AI development … Support teams. What we’re looking for Strong Python backend/API experience; SQL and data modelling skills. Proven integrations experience (APIs, SFTP, SharePoint, webhooks). Workflow orchestration (Temporal, Dagster) know-how. Track record using AI-assisted dev in production. Comfortable working with generated code and improving automation. Familiarity with CI/CD, Docker, cloud (Azure/AWS/ More ❯

workflow logic for our SaaS apps. You’ll work hands-on across Python APIs, data workflows, and external system connectors, often starting from automation-generated code (FE automation and Dagster DSL). Your job is to make that code production-ready — fixing, extending, and integrating it with our broader architecture. You’ll also be the team’s AI development … Support teams. What we’re looking for Strong Python backend/API experience; SQL and data modelling skills. Proven integrations experience (APIs, SFTP, SharePoint, webhooks). Workflow orchestration (Temporal, Dagster) know-how. Track record using AI-assisted dev in production. Comfortable working with generated code and improving automation. Familiarity with CI/CD, Docker, cloud (Azure/AWS/ More ❯

workflow logic for our SaaS apps. You’ll work hands-on across Python APIs, data workflows, and external system connectors, often starting from automation-generated code (FE automation and Dagster DSL). Your job is to make that code production-ready — fixing, extending, and integrating it with our broader architecture. You’ll also be the team’s AI development … Support teams. What we’re looking for Strong Python backend/API experience; SQL and data modelling skills. Proven integrations experience (APIs, SFTP, SharePoint, webhooks). Workflow orchestration (Temporal, Dagster) know-how. Track record using AI-assisted dev in production. Comfortable working with generated code and improving automation. Familiarity with CI/CD, Docker, cloud (Azure/AWS/ More ❯