1 to 25 of 33 Dagster Jobs

data platforms (AWS, GCP, or Azure). Strong SQL and Python skills, with deep experience in modern data stack tooling (e.g., dbt, Airflow or Dagster, Spark, Snowflake, BigQuery, Databricks). Experience designing lakehouse architectures and ELT-based transformation workflows. Practical experience implementing data governance, lineage, quality, and observability frameworks. ...

with a distributed team (London, Boston, and New York) and directly with researchers and vendors. Desirable QualificationsExperience with pipelines and orchestration (e.g., Airflow, Prefect, Dagster, or similar) - strongly preferred. Practical experience applying AI tools to data work (coding assistance, investigation, anomaly detection).Experience supporting production data pipelines and incident ...

Athena preferred) Setting up and managing a cloud data warehouse (Redshift preferred) Hands-on working with Airflow or an equivalent orchestrator in production (Dagster, Prefect) Solid understanding of data modelling: dimensional modelling, slowly changing dimensions, and event-sourced schemas Other Desired Skills Knowledge of best practices and IT operations ...

production pipelines end to end Excellent Python and SQL Solid grasp of data modelling, warehousing and lakehouse concepts Hands-on with orchestration (e.g. Airflow, Dagster) and distributed processing (e.g. Spark) Experience with cloud data platforms (AWS, Azure or GCP) and containerised deployment (Docker, Kubernetes) Good engineering practice: version control ...

grade data pipelines end to end. Modern data stack Experience with modern ELT, transformation and orchestration technologies. Our environment includes technologies such as dbt, Dagster/Airflow and Snowflake, although experience with comparable technologies is equally relevant. Cloud infrastructure Experience designing and implementing secure, scalable solutions on a major ...

Senior Data Engineer. In this role, you will take hands-on ownership of architecting, building, and deploying modern data pipelines in Snowflake, dbt and Dagster You will lead the designing of scalable data models and machine learning models Key Responsibilities Pipeline & Architecture Ownership: Design and implement automated, modular transformation ...

hands-on experience in at least one data area and one platform area below. Data experience Orchestration: operating pipelines with tools such as Airflow, Dagster or Prefect, including dependencies, retries, backfills, reruns or schema changes. Storage and modelling: designing schemas and storage for relational databases, warehouses or lakehouses ...

just individual pipelinesExperience designing and operating production data platforms across cloud infrastructure, orchestration, ingestion and SQL transformation layersPractical experience with GCP, BigQuery, Terraform, Kubernetes, Dagster, dlt and dbt - or equivalent tools with the ability to articulate transferable reasoningDemonstrated ability to make and document architecture decisions that involve meaningful trade ...

external CLI tools/subprocesses safely.You might also have experience of the following:Direct experience with a workflow orchestration framework (Prefect, Airflow, Dagster, or similar).Experience with containerization (Docker, or HPC-oriented tools like Apptainer/Singularity).Exposure to systems that coordinate with external schedulers/queues ...

external CLI tools/subprocesses safely. You might also have experience of the following: Direct experience with a workflow orchestration framework (Prefect, Airflow, Dagster, or similar).Experience with containerization (Docker, or HPC-oriented tools like Apptainer/Singularity).Exposure to systems that coordinate with external schedulers/queues ...

have experience with times series data, they use TimescaleDB but other experience with similar platforms is fineYou have experience with Orchestration platforms such as Dagster or AirflowYou're collaborative with great communication skillsWhat's in it for you: Salary to 120k + bonusX3 weeks per year work anywhere25 days ...

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 ...

tools and decision-focused learning. You are comfortable writing production-quality Python code. Experience with MLOps tools, containerisation (Docker), and orchestration (Airflow/Dagster) is essential. Experience with Cloud platforms (GCP/Vertex AI preferred, or AWS/SageMaker) and handling large datasets via SQL/BigQuery. A proactive ...

advanced analytics — ideally in a hybrid PLG/sales-led SaaS environmentStrong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster)Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A/B, diff-in-diff, instrumental variables)Experience working directly with product ...

advanced analytics — ideally in a hybrid PLG/sales-led SaaS environmentStrong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster)Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A/B, diff-in-diff, instrumental variables)Experience working directly with product ...

conscious: optimised warehouse spend, storage strategies, or job efficiency, and treat compute as a resource to manage, not ignorePlatform fluency: worked across orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)AI Native: experienced in agentic coding workflows (context, harness, loop, and graph ...

platform and expanding their engineering capability. The Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement CI/CD, observability, and monitoring across production systems. Develop infrastructure ...

have experience with times series data, they use TimescaleDB but other experience with similar platforms is fineYou have experience with Orchestration platforms such as Dagster or AirflowYou're collaborative with great communication skillsWhat's in it for you: Salary to 85k + bonusX3 weeks per year work anywhere25 days ...

pipelines for data and ML projectsCoding/scripting skills required, e.g. Python, Go, C(++)Experience with DBT and/or DataformExperience with Dagster, airbyte, Fivetran and/or HightouchSoft skills:Display the ability to present to both business and technical stakeholdersBuild relationships with customers to influence their long ...

scripts or analysis tooling. Strong Python development skills, with experience building performant, maintainable applications. Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect. Understanding of retries, dependency management, idempotency, backfills, and operational recovery. Experience with analytical or columnar databases such as ClickHouse or similar technologies. Knowledge ...

agent and tool interoperabilityHands-on work with vector databases like Pinecone, Weaviate, Qdrant or pgvectorFamiliarity with distributed systems, workflow engines (Temporal, Airflow or Dagster) and event-driven architecturesExperience with open-source LLMs or Small Language Models for custom deploymentsKnowledge of AI safety and governance: guardrails, output filtering ...

value, and/or FICC options tradingExperience with Linux-based, concurrent, high-throughput, low-latency software systemsExperience with pipeline orchestration frameworks (e.g. Airflow, Dagster)Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databasesHave a Bachelors or advanced degree in Computer Science ...

networking/security implications.You might also have:Experience with Kubernetes for cloud-burst or elastic compute scenarios.Familiarity with workflow orchestration tools (e.g. Prefect, Airflow, Dagster) — not required to design flows, but useful for understanding deployment/runtime needs.Exposure to high-performance/scientific/technical computing environments (HPC/ ...

security implications. You might also have: Experience with Kubernetes for cloud-burst or elastic compute scenarios. Familiarity with workflow orchestration tools (e.g. Prefect, Airflow, Dagster) — not required to design flows, but useful for understanding deployment/runtime needs. Exposure to high-performance/scientific/technical computing environments ...

security implications. You might also have: Experience with Kubernetes for cloud-burst or elastic compute scenarios. Familiarity with workflow orchestration tools (e.g. Prefect, Airflow, Dagster) — not required to design flows, but useful for understanding deployment/runtime needs. Exposure to high-performance/scientific/technical computing environments ...