76 to 100 of 120 Remote Apache Airflow Jobs

stakeholders, understanding and translating their needs into technical requirements. Possess outstanding communication and interpersonal skills, facilitating clear and effective collaboration within and outside the team. Desirables: Familiarity with the Apache Airflow platform. Basic knowledge of BI tools such as Power BI to support data visualization and insights. Experience with version control using GIT for collaborative and organized code More ❯

stakeholders, understanding and translating their needs into technical requirements. Possess outstanding communication and interpersonal skills, facilitating clear and effective collaboration within and outside the team. Desirables: Familiarity with the Apache Airflow platform. Basic knowledge of BI tools such as Power BI to support data visualization and insights. Experience with version control using GIT for collaborative and organized code More ❯

with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation More ❯

platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Solid understanding of ML lifecycle: data handling, model development, deployment, and monitoring. Familiarity with MLOps tools such as MLflow, Airflow, DVC, or similar. Experience with version control (Git), CI/CD pipelines, and software engineering best practices. Fluent in English; knowledge of French or Dutch is a plus. Desirable More ❯

Linux (RedHat/Rocky, Alpine and distroless containers) Python (pandas/pyspark), bash, SQL, Terraform, data/file formats (json, parquet, etc.) Spark, Kafka, ELK, MinIO/Ceph, Nifi, Airflow Gitlab, Jira, Confluence AWS DESIRED QUALIFICATIONS: Familiarity with DoD and/or cyber security operations desired CLEARANCE: Secret minimum More ❯

as Azure Data Factory (ADF) and Python. Ensuring the quality of raw datasets to empower Data Analysts in creating robust data models. Deploying and managing data tools on Kubernetes (Airflow, Superset, RStudio Connect). Supporting Data Analytics through the management of DBT, DevOps, and deployment rules. You will have the opportunity to work end-to-end, making meaningful contributions More ❯

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 ❯

adaptable 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 More ❯

You 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 More ❯

AI delivery • Proven track record deploying ML systems in production at scale (batch and/or real-time) • Strong technical background in Python and ML engineering tooling (e.g. MLflow, Airflow, SageMaker, Vertex AI, Databricks) • Understanding of infrastructure-as-code and CI/CD for ML systems (e.g. Terraform, GitHub Actions, ArgoCD) • Ability to lead delivery in agile environments-balancing More ❯

.NET framework backend services and React frontends. You'll utilise tools such as Terraform for infrastructure-as-code ( IaC ), AWS (Lambda, EC2, EKS, Step Functions, VPC etc.) for ETL, Airflow pipelines, Snowflake, and ensure architectural alignment with AI/ML initiatives and data-driven services. You will serve as the go-to engineer for: End-to-end data migration More ❯

data engineering Our current tech stack: Frontend Technologies - React, Material UI Backend & Application Frameworks - Go, Node, RabbitMQ Databases - Postgres, MariaDB, MongoDB, ClickHouse, Redis, JupyterLab, Metabase Data Engineering & Orchestration - Python, Airflow, Kafka, DataHub Cloud & Infrastructure - AWS, K8s DevOps & CI/CD - Git, GitLab CI, DBS, Grafana, ELK, Prometheus, Docker, Docker Compose Why join us? Shape the future of a data More ❯

backend APIs will be valuable to ensure solutions are fit for purpose. Tooling Familiarity: Experience with relevant QA and data-related tools, which may include (but not limited to) Airflow, Stitch, DBT, Great Expectations, Datafold, and AWS. CI/CD Integration: Familiarity with CI/CD pipelines and the ability to integrate testing processes within automated deployment workflows. Communication More ❯

gaming, food, health care). Knowledge of regulatory reporting and treasury operations in retail banking Exposure to Python, Go or similar languages. Experience working with orchestration frameworks such as Airflow/Luigi Have previously used dbt, dataform or similar tooling. Used to AGILE ways of working (Kanban, Scrum) The Interview Process: Our interview process involves 3 main stages More ❯

gaming, food, health care). Knowledge of regulatory reporting and treasury operations in retail banking Exposure to Python, Go or similar languages. Experience working with orchestration frameworks such as Airflow/Luigi Have previously used dbt, dataform or similar tooling. Used to AGILE ways of working (Kanban, Scrum) The Interview Process: Our interview process involves 3 main stages More ❯

Senior Data Engineer 100% Remote B2B Contract Full-time position with flexible working hours (overlap with US required) We're looking for a Senior Data Engineer for a company that facilitates freelancing and remote work. Their platform provides a marketplace More ❯

with new methodologies to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark/Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working More ❯

with new methodologies to enhance the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working More ❯

with new methodologies to enhance the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working More ❯

with new methodologies to enhance the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working More ❯

Technologies: Frameworks & Libraries: LangChain, Hugging 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 More ❯

position? We are seeking a passionate DataOps Engineer who loves optimizing pipelines, automating workflows, and scaling cloud-based data infrastructure. Key Responsibilities: Design, build, and optimize data pipelines using Airflow, DBT, and Databricks. Monitor and improve pipeline performance to support real-time and batch processing. Manage and optimize AWS-based data infrastructure, including S3 and Lambda, as well as … experience supporting high-velocity data/development teams and designing and maintaining data infrastructure, pipelines, and automation frameworks. You should also have experience streamlining data workflows using tools like Airflow, DBT, Databricks, and Snowflake while maintaining data integrity, security, and performance. Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Minimum of … years of experience in DataOps or similar. Proficiency in key technologies, including Airflow, Snowflake, and SageMaker. Certifications in AWS/Snowflake/other technologies a plus. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and manage multiple priorities effectively. What's in it for you? We offer our employees more than just competitive compensation. More ❯

Mentor colleagues in front-end technologies. Collaborate for accurate project estimations. Senior Front End Engineer Requirements: JavaScript, React/React Native, Python (Django, Django REST framework, pandas) Docker, Postgresql, Airflow, Redis, Kafka CircleCI & Terraform AWS services (RDS, Elasticache, EC2, ECS, Fargate, Lambda, Batch, etc.) JIRA, Sentry, Mixpanel Jest, react-testing-library, Cypress Leadership/mentoring Mobile-first and PWA More ❯

development of a new 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 scripting skills in Python. Knowledge of More ❯

role. A strong understanding of data quality concepts, methodologies, and best practices. Proficiency in SQL and data querying for data validation and testing purposes. Hands-on experience with Snowflake, Airflow or Matillion would be ideal Familiarity with data integration, ETL processes, and data governance frameworks. Solid understanding of data structures, relational databases, and data modelling concepts. Excellent analytical and More ❯