13 of 13 Remote Dagster Jobs

across cloud/on-premises, using Azure and other technologies. Experienced in orchestrating data workflows and Kubernetes clusters on AKS using Airflow, Kubeflow, Argo, Dagster or similar. Skilled with data ingestion tools like Airbyte, Fivetran, etc. for diverse data sources. Expert in large-scale data processing with Spark or More ❯

Databricks. Understanding of common data transformation and storage formats, e.g. Apache Parquet. Good understanding of cloud environments (ideally Azure), and workflow management systems (e.g. Dagster, Airflow, Prefect). Follow best practices like code review, clean code and unit tests. Familiar with version control and Git/GitHub. Understanding of More ❯

systems. You know how to create repeatable and reusable products. Experience with workflow management tools such as Nextflow, WDL/Cromwell, Airflow, Prefect and Dagster Good understanding of cloud environments (ideally Azure), distributed computing and scaling workflows and pipelines Understanding of common data transformation and storage formats, e.g. Apache More ❯

global data platform (PaaS) Ensure scalable storage solutions (data lakes, data warehouses) to handle structured and unstructured data. Implement ETL/ELT pipelines using Dagster, Airflow, or similar tools. Optimize performance and scalability for large data volumes. Govern data security, compliance, and access controls. Development & DevOps: Strong programming and More ❯

global data platform (PaaS) Ensure scalable storage solutions (data lakes, data warehouses) to handle structured and unstructured data. Implement ETL/ELT pipelines using Dagster, Airflow, or similar tools. Optimize performance and scalability for large data volumes. Govern data security, compliance, and access controls. Development & DevOps: Strong programming and More ❯

global data platform (PaaS) Ensure scalable storage solutions (data lakes, data warehouses) to handle structured and unstructured data. Implement ETL/ELT pipelines using Dagster, Airflow, or similar tools. Optimize performance and scalability for large data volumes. Govern data security, compliance, and access controls. Development & DevOps: Strong programming and More ❯

the travel industry. Conducted and analysed large scale A/B experiments Experience mentoring team members Experience with workflow orchestration technologies such as Airflow, Dagster or Prefect Experience with technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Perks of joining us: Company pension contributions at More ❯

the most efficient and effective manner. Your Toolkit The Languages You Speak : Python, SQL, the dialect of data. Libraries Tools : Terraform, Flask, Pandas, FastAPI, Dagster, GraphQL, SQLAlchemy, GitLab, Athena. Your Trusted Companions : Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes. Your AWS … machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi. What's important for us: Academically Grounded : Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. Seasoned More ❯

Are you passionate about revolutionising engineering with AI? Here at Monolith AI we're on a mission to empower engineers to use AI to solve even their most intractable physics problems. We've doubled in size over the last four More ❯

and maintain robust, scalable data models and transformation pipelines using SQL, Python, and dbt. Lead the development of advanced orchestration workflows with Airflow or Dagster (or similar tools), ensuring pipeline reliability and observability. Shape and enforce best practices in cloud data engineering, including data modeling (e.g., star schema), testing … scalable, and testable data transformations Solid expertise in BI and visualization tools (e.g., Looker, Tableau, Mode) and their data modeling layers. Experience in Airflow, Dagster, or similar orchestration tools Experience in cloud data platforms such as Snowflake, BigQuery, and/or Databricks Expertise in Git-based version control and More ❯

and Generative AI, including Large Language Models (LLMs). You'll have proven experience developing AWS Cloud platforms end to end, orchestrating data using Dagster or similar as well as coding in Python and SQL. This is an exciting opportunity for someone looking to challenge themselves in a collaborative … for data transformation, cleaning, and loading. ·Strong coding experience with Python and Pandas. ·Experience with any flavour of data pipeline and workflow management tools: Dagster, Celery, Airflow, etc. ·Build processes supporting data transformation, data structures, metadata, dependency and workload management. ·Experience supporting and working with cross-functional teams in More ❯

and Generative AI, including Large Language Models (LLMs). You’ll have proven experience developing AWS Cloud platforms end to end, orchestrating data using Dagster or similar as well as coding in Python and SQL. This is an exciting opportunity for someone looking to challenge themselves in a collaborative … for data transformation, cleaning, and loading. Strong coding experience with Python and Pandas. Experience with any flavour of data pipeline and workflow management tools: Dagster, Celery, Airflow, etc. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Experience supporting and working with cross-functional teams in More ❯

and robust version control Setting up monitoring and alerting frameworks to track model drift, data quality, and inference health Leveraging orchestration tools such as Dagster, Airflow, or Prefect to manage and scale ML workflows Supporting ongoing infrastructure migration or optimisation initiatives (e.g. improving cost efficiency, latency, or reliability) Partnering … ML deployment , particularly on AWS , using services like ECS, EKS, Fargate, Lambda, S3, and more Familiarity with orchestration and workflow scheduling tools such as Dagster , Airflow , or Prefect Knowledge of CI/CD best practices and tools (e.g. GitHub Actions, Jenkins, CodePipeline) Exposure to monitoring and observability tools for More ❯