26 to 43 of 43 Dagster Jobs

that the list isn’t very long - as a founding engineer you will have the opportunity to shape the technology we use. Python AWS Dagster SQL DBT MLflow ML (LLM, RAG, etc.) Why Join Maiven? Work with Purpose: Tackle one of the most critical issues of our time - climate More ❯

that the list isn’t very long - as a founding engineer you will have the opportunity to shape the technology we use. Python AWS Dagster SQL DBT MLflow ML (LLM, RAG, etc.) Why Join Maiven? Work with Purpose: Tackle one of the most critical issues of our time - climate 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 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 ❯

Kubernetes management and deep understanding of high performance ingest and data transformation. Proficiency with Linux OS, Python, SQL and relational databases, JavaScript, Elastic Search, Dagster, Docker. Experience with Windows server management and Power BI Report Service is a plus. 5+ years of experience working within a cybersecurity mission environment More ❯

Responsibilities Build the pipelines that put Freetrade's data to work, deploying jobs into our Kubernetes cluster, writing Python code to orchestrate them in Dagster, and modelling the data in our BigQuery data warehouse. Evolve our testing, alerting and quality monitoring capabilities to continuously improve the trust of our More ❯

scalable, efficient deployments Required Expertise Proven experience deploying ML models in production environments Experience having used ML pipeline orchestration tools, like Airflow, Metaflow, Prefect, Dagster, BentoML - Essential* Advanced skills in AWS SageMaker , cloud-based ML infrastructure Expert-level understanding of time series data modeling Proficiency in containerization (Docker) Strong More ❯

agency to choose and work with the technologies you love. Our tech stack includes: Infra & monitoring: AWS (ECS, RDS, Elasticache, Lambda, etc.), Tinybird, Modal, Dagster, Langsmith, Datadog, Sentry, Incident.io. Languages & Frameworks: Typescript (Node.js), NestJS, Rails, React, Svelte. Other day-to-day Tools: Postman, Notion, Slack, Jira, Github, and more. More ❯

agency to choose and work with the technologies you love. Our tech stack includes: Infra & monitoring: AWS (ECS, RDS, Elasticache, Lambda etc.), Tinybird, Modal, Dagster, Langsmith, Datadog, Sentry, Incident.io. Languages & Frameworks: Typescript (Node.js), NestJS, Rails, React, Svelte. Other day-to-day Tools: Postman, Notion, Slack, Jira, Github and more. 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 ❯

environment. The role will primarily focus on building and maintaining data pipelines in DBT using SQL, with opportunities to get hands-on experience with Dagster, Synq, AWS, and Python. Key responsibilities Develop and maintain SQL-based data solutions (PostgreSQL/MySQL). Work with DBT for data transformation and … as a SQL Engineer, Data Engineer, or similar role. Proficiency in SQL (PostgreSQL/MySQL). Experience with DBT for data transformation. Understanding of Dagster or similar workflow orchestration tools. Familiarity with AWS, Lambda, Python, Tableau, Metabase (nice to have, but not essential). Understanding of key concepts within 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 … Strong SQL skills for data transformation, cleaning, and loading. Strong coding experience with Python and Pandas. Experience 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 … Strong SQL skills for data transformation, cleaning, and loading. Strong coding experience with Python and Pandas. Experience 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 ❯

Talos: Institutional Fabric for Digital Asset Markets Founded in 2018, Talos provides institutional-grade trading technology for global digital asset market participants, powering many of the major players in the digital asset ecosystem. We are a tight-knit but decentralized 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 ❯