18 of 18 Prefect Jobs

learn, Hugging Face). Solid software engineering background: data structures, algorithms, distributed systems, and version control (Git). Knowledge of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect), and streaming frameworks (Spark, Kafka). Strong communication skills-able to explain complex concepts to technical and non-technical stakeholders. Preferred (Nice-to-Have) Experience in early-stage startups or More ❯

to fast-paced startup environment, comfortable with ambiguity and evolving responsibilities Work Authorization: Must be eligible to work in US or UK Preferred Experience: Data orchestration tools (e.g. , Airflow, Prefect)Experience deploying, monitoring, and maintaining ML models in production environments (MLOps)Familiarity with big data technologies ( e.g. , Spark, Hadoop)Background in time-series analysis and forecastingExperience with data governance and More ❯

to fast-paced startup environment, comfortable with ambiguity and evolving responsibilities Work Authorization: Must be eligible to work in US or UK Preferred Experience: Data orchestration tools (e.g. , Airflow, Prefect)Experience deploying, monitoring, and maintaining ML models in production environments (MLOps)Familiarity with big data technologies ( e.g. , Spark, Hadoop)Background in time-series analysis and forecastingExperience with data governance and More ❯

CVEs, and network monitoring. Experience integrating with technologies such as Spark, Dask, Snowpark, or Kafka. Background in web application stacks (e.g., Flask, Django) or task schedulers (e.g., Airflow, Celery, Prefect). Compensation & Benefits: Competitive salary, equity, and performance-based bonus. Full benefits package including medical, dental, and vision. Unlimited paid time off. If you want to know more about this More ❯

Face Transformers, PyTorch, TensorFlow, Scikit-learn Agentic AI Tools: OpenAI GPT models, Crew,AI, Cohere, Pinecone (for vector databases), AutoGPT Data Engineering & ML Pipelines: Apache Airflow, MLflow, Kubeflow, dbt, Prefect Cloud & Deployment Platforms: AWS SageMaker, Azure ML, Google Vertex AI APIs & Orchestration: OpenAI API, Anthropic Claude, Weaviate, FastAPI (for AI applications) MLOps & Experimentation: Weights & Biases, DVC (Data Version Control), Docker More ❯

in e-commerce, retail, or the travel industry Experience designing and analysing large-scale A/B test experiments Mastery of workflow orchestration technologies such as Airflow, Dagster or Prefect Expert knowledge of technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Infrastructure as Code Experience establishing data science best practices across an organisation Perks of joining More ❯

Responsibilities Noblis is seeking to hire a Data Engineer with an ACTIVE Top Secret with SCI and Polygraph in Chantilly, VA As a Data Engineer with our team, you will be working with our federal clients to rapidly develop innovative More ❯

Blob, MinIO, or similar) Proficiency in data parsing and transformation, handling structured and unstructured data Hands-on experience with ETL tools and data workflow orchestration (e.g., Apache Airflow, Luigi, Prefect) Strong programming skills in Python, SQL, or Scala Experience with open-source data processing tools (e.g., Kafka, Spark, Flink, Hadoop) Familiarity with database technologies (PostgreSQL, MySQL, or NoSQL solutions) Ability More ❯

in Computer Science or a related discipline Solid Python programming skills Good working knowledge of SQL Comfortable using Git for version control Desirables: Exposure to workflow orchestration tools (e.g. Prefect, Airflow, Dagster) Experience with cloud data warehouses (Azure SQL, Snowflake) or dbt Basic familiarity with Docker and BI tools (Power BI, Tableau) Interest in shipping, financial markets, or commodities Package More ❯

analysis and data visualisation. BSc in Computer Science or a related discipline Good working knowledge of SQL Comfortable using Git for version control Exposure to workflow orchestration tools (e.g. Prefect, Airflow, Dagster) Experience with cloud data warehouses (Azure SQL, Snowflake) or dbt Basic familiarity with Docker and BI tools (Power BI, Tableau) Interest in shipping, financial markets, or commodities Package More ❯

skills and familiarity with Git Strong communicator, eager to learn, and naturally curious Comfortable working across multiple business areas with varied responsibilities Nice-to-Haves Exposure to tools like Prefect , Airflow , or Dagster Familiarity with Azure SQL , Snowflake , or dbt Tech Stack/Tools Python SQL (on-prem + Azure SQL Data Warehouse) Git Benefits £35,000 - £40,000 starting More ❯

application development FastAPI with either Flask or Django for API frameworks for web services AWS CDK experience with Infrastructure as code for AWS deployments Docker Containerization for local development Prefect or Airflow or Dagster experience for pipeline orchestration frameworks What you'll be doing: Develop and optimize FastAPI applications integrated with AWS CDK infrastructure. Collaborate closely with developers, subject matter … Experience with AWS services, deployment processes, and infrastructure as code approaches AWS CDK, Terraform. Comfortable working with Docker containers for local development. Familiarity with pipeline orchestration frameworks such as Prefect, Airflow, or Dagster. Excellent communication skills with a collaborative mindset. Contract Details: Location: Fully remote UK based candidates only. Length: 9 months. Rate: £450 to £465 per day Outside IR35. More ❯

improvements to our bespoke data pipeline and associated API services. Key Requirements 5+ years of Python experience with frameworks like Flask, FastAPI, and Django. Strong command orchestration tools (e.g. Prefect, Airflow), Docker, and AWS infrastructure (CDK, Terraform). Solid understanding of API services, authentication methods (JWT, SSO), and clear, pragmatic communication skills. Maintain, upgrade, and improve existing systems and custom More ❯

higher in STEM or quantitative discipline preferred Preferred Skills: Full spectrum experience with modern data platforms (Snowflake, dbt, Sigma, Alation). Proficient with ETL platforms such as Fivetran and Prefect Hands on experience with data lineage and observability platforms Knowledge of Agile methodologies and project management tools (JIRA, Trello). The duties and responsibilities described here are not exhaustive and More ❯

on Business, Marketing, Analytics, or Computer Science Experience with AWS Experience with Javascript Basic understanding of digital interaction technologies such as live chat, virtual agents/chatbots Experience with Prefect Experience building User Interfaces What You Should Know About This Team Our Proof of Concept team is known for its collaborative spirit, a strong desire to learn, and, most importantly More ❯

have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge extraction. You can architect complex workflows. You have experience with workflow orchestration tools (Airflow, Prefect, Temporal) or have built custom pipeline systems for multi-step autonomous processes. You bridge science and engineering. You are comfortable with scientific computing libraries (NumPy, SciPy, pandas) and understand scientific More ❯

Design and implement complex data pipelines and architectures. Utilising dbt and Prefect to automate and run your data pipelines. Collaborate with cross-functional teams to align data engineering efforts. Engaging with clients to identify available data and help them achieve business goals. Key Candidate Requirements Knowledge Advanced proficiency in programming languages and frameworks used in data engineering. Expertise in optimising More ❯

product and data to develop a live reporting portal (e.g. Metabase) Manage and mentor a small team of analysts Tech Environment Analytics : Tableau, SQL Engineering : dbt, Python, Postgres, Azure, Prefect Ideal Candidate 4-6 years' experience in analytics, with some leadership exposure Proven skills in SQL, Python, and dbt Experience delivering operational insights and improving reporting processes Comfortable working cross More ❯