176 to 200 of 382 Remote Apache Airflow Jobs

management processes, and data profiling. Experience in developing APIs and working with WebSockets. Knowledge of React, Django, FastAPI, or equivalent technologies. Previous experience with AirFlow, Linux shell commands and setup websites on IIS. What we would like from you: Bachelor's or Master's degree in a relevant field. More ❯

of programmatic advertising, attribution modeling, campaign measurement, and media mix optimization. Familiarity with cloud platforms (especially GCP) and tools like BigQuery, Vertex AI, Dataflow, Airflow, and dbt. Excellent communication and stakeholder management skills, with the ability to align cross-functional teams around a shared vision. All profiles will be More ❯

Knowledge of container tech (Docker, Kubernetes) - Understanding of security and compliance - Strong communication skills Nice to have skills include familiarity with data tools (dbt, Airflow), monitoring stacks (Prometheus, Grafana), cloud certifications, and experience with enterprise data platforms. As a Consultant, you'll be: Delivering quality work with attention to More ❯

development lifecycle and agile methodologies. Proven experience designing, developing, and deploying machine learning models. Experience with debugging ML models. Experience with orchestration frameworks (e.g. Airflow, MLFlow, etc). Experience deploying machine learning models to production environments. Knowledge of MLOps practices and tools for model monitoring and maintenance. Familiarity with More ❯

AI workflows with orchestration logic for latency, cost, and reliability. Build and maintain CI/CD pipelines, infrastructure-as-code, and container orchestration (Kubernetes, Airflow, Databricks Jobs). Ensure best practices in model tracking, versioning, performance monitoring, logging, and retraining workflows. Collaborate with cross-functional teams to align technical More ❯

processes using infrastructure-as-code (Terraform) Build and maintain data pipelines using Airflow. Manage our tech stack including Python, Node.js, PostgreSQL, MongoDB, Kafka, and Apache Iceberg. Optimize infrastructure costs and develop strategies for efficient resource utilization. Provide critical support by monitoring services and resolving production issues. Contribute to the More ❯

processes using infrastructure-as-code (Terraform) Build and maintain data pipelines using Airflow. Manage our tech stack including Python, Node.js, PostgreSQL, MongoDB, Kafka, and Apache Iceberg. Optimize infrastructure costs and develop strategies for efficient resource utilization. Provide critical support by monitoring services and resolving production issues. Contribute to the More ❯

Dataplex, Dataflow, Cloud Functions, Cloud Run, Pub/Sub, GCS, Vertex AI, GKE) or similar cloud platforms Familiarity with open-source data-stack tools (Airflow, DBT, Kafka, Great Expectation, etc.) Appreciation of modern cloud data stack, headless BI, analytics engineering, Data Mesh, and Lake House Although not essential, it More ❯

to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows. Use Python and large-scale data workflow orchestration platforms (e.g. Airflow) to build software artifacts for ETL, integrating diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems Design More ❯

structures and queries for performance, particularly in relation to geo-spatial and temporal data (e.g. BigQuery). Familiarity with data orchestration solutions (e.g. Prefect, Airflow, AWS Step Functions Desirable Technical Skills (Advantageous but not essential): Containerisation & Orchestration : Experience Kubernetes and Helm for container management and deployment. Ideally experience with More ❯

Data Scientists use (we don't expect applicants to have experience with all of these): Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing. We are looking to grow our More ❯

/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience More ❯

Responsibilities Designing, prototyping, and implementing robust recommendation applications using best-practice agile development processes Working with technologies including Java, Scala, Spark, EMR, Kubernetes, and Airflow Building cloud infrastructure in AWS to host and monitor the applications, and automating common tasks mercilessly. Collaborating as part of a tight-knit, agile More ❯

Excellent communication skills and ability to interact with technical and non-technical stakeholders. Nice to have would be: Familiarity with modern data tools (dbt, Airflow, Kafka, etc.). Knowledge of monitoring/logging stacks (e.g., Prometheus, Grafana, ELK, CloudWatch). Certifications in relevant cloud technologies (AWS, Azure, GCP). More ❯

Excellent communication skills and ability to interact with technical and non-technical stakeholders. Nice to have would be: Familiarity with modern data tools (dbt, Airflow, Kafka, etc.). Knowledge of monitoring/logging stacks (e.g., Prometheus, Grafana, ELK, CloudWatch). Certifications in relevant cloud technologies (AWS, Azure, GCP). More ❯

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 More ❯

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 More ❯

AI workflows with orchestration logic for latency, cost, and reliability. Build and maintain CI/CD pipelines, infrastructure-as-code, and container orchestration (Kubernetes, Airflow, Databricks Jobs). Ensure best practices in model tracking, versioning, performance monitoring, logging, and retraining workflows. Collaborate with cross-functional teams to align technical More ❯

NoSQL databases, including Postgres and Cassandra. Experience designing and implementing knowledge graphs for data integration and analysis. Data pipeline and workflow management tools: Luigi, Airflow, etc. AWS cloud services: EC2, S3, Glue, Athena, API Gateway, Redshift. Experience with object-oriented and scripting languages: Python, R. Designing and building APIs More ❯

Bring You’ll thrive in this role if you have: Deep experience with the modern data stack, especially dbt, BigQuery, and orchestration tools (e.g. Airflow, dbt Cloud) Proven ability to design end-to-end data architecture—from ingestion to warehouse modeling to semantic layers—not just implement someone else More ❯

data in support of operational decision-making and intelligence development. Key Tech Stack: - Microsoft SQL Server Stack: SQL Server, SSIS, C#, T-SQL - Python, Apache Airflow - Elastic/OpenSearch (interchangeable) Experience Required: - Proven ability to design, build and maintain data pipelines - Experience in system integration, ETL, and managing More ❯

general analytics use case. Additionally, having experience with Kubernetes or other platforms for containerized applications as well as working with orchestration systems such as Apache Airflow would be essential to succeed in this role. The ideal candidate for this role would need to have proficiency in programming languages More ❯

tuning and optimisation Solid understanding of data warehousing principles, data modelling practice Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related More ❯

data quality across the board. Requirements: 5+ years professional experience within Data engineering Strong hands-on experience with Snowflake (required). Familiarity with DBT, Airflow, and AWS (preferred). Background in building and maintaining robust data architectures. Ability to identify and resolve complex data issues and improve data validation More ❯

algorithms Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) Experience with MLOps tools is a plus (e.g., MLflow, DVC, Airflow) Ability to work independently and manage time effectively in a hybrid work setting Fluent in English; French or Dutch is a plus Nice to More ❯