126 to 150 of 153 Apache Airflow Jobs

building and leading a team of engineers working in a related system. Experience with build, release and deployment infrastructure technologies such as Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel, etc. Ability to attract, hire, and coach engineers who meet the Databricks hiring standards – can up‐level existing team ...

This is a great opportunity to contribute greatly to an extremely engineering-focused organization and further your experience across technologies such as Cloud Composer, Airflow, Dataflow, Spark, Terraform, Google Cloud Platform, etc; You will own engineering efforts to provide partner teams within the organisation with data sources that build … opportunity for the role to go permanent. What You'll Do: Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow; Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality ...

mechanics (order books vs AMMs, fee structures, market manipulation/anti-manipulation signals). Proficiency with SQL; experience with streaming systems (Kafka), workflow orchestration (Airflow), and cloud (AWS/GCP/Azure). Experience with Bayesian methods, probabilistic programming (Stan/PyMC), or ensemble methods. Familiarity with rigorous experimentation … online/offline evaluation, data leakage prevention, and model governance. Tech Stack Python, SQL, pandas/numpy/scipy, PyTorch/sklearn Airflow/dbt, Kafka (or equivalents), Postgres/BigQuery Docker, Kubernetes (optional), CI/CD (GitHub Actions) Observability: Prometheus/Grafana, OpenTelemetry (or equivalents) Locations and Right ...

recommendations, ranking and personalization across Bumble products. You will build production-grade models with PyTorch, craft end-to-end ML pipelines using Spark and Airflow, and deploy AI Agents based on Large Language Models, mentoring senior contributors and shaping responsible AI practices. #J-18808-Ljbffr ...

deliver scalable, production-grade Python services and APIs for research and operations. The role emphasizes modern cluster compute technologies (Kubernetes, Spark, Hadoop Yarn, Ray, Airflow) and strong proficiency in Python. A background in mathematics or computing is advantageous. #J-18808-Ljbffr ...

engineers across the firm. Ideal candidates have deep Python expertise, hands-on experience with modern cluster compute technologies (Kubernetes, Spark, Hadoop/Yarn, Ray, Airflow) and a track record of delivering scalable infrastructure in a multi-user #J-18808-Ljbffr ...

advanced proficiency in Python with extensive experience building production applications and services Experience with modern cluster compute technologies (e.g., Kubernetes, Spark, Hadoop Yarn, Ray, Airflow) Experience leading work in a formal software development environment in collaboration with other engineers Strong experience building platforms on the Linux operating system Self ...

Advanced proficiency in Python, with extensive professional experience in building production applications and services Experience of modern cluster compute - Kubernetes, Spark, Hadoop Yarn, Ray, Airflow are some of the technologies we use Experience leading work in a formal software development environment alongside other engineers in a collaborative manner Strong ...

topologies. Exposure to MLOps tooling and AI platform layers: experiment tracking (MLflow, W'B), model serving frameworks (Triton, vLLM), and pipeline orchestration (Kubeflow, Airflow). Familiarity with InfiniBand and high-performance networking as it relates to distributed training performance — sufficient to engage credibly with network and infrastructure teams ...

integration failures, data inconsistencies, and production issues Key Skills • Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills • Vector databases and embedding pipelines • Real-time … robust, production-grade data pipelines from scratch. • Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. • Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). • Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). ...

experience with cloud platforms (AWS, Azure, GCP) Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise‐scale applications. You have team lead ...

with cloud platforms (AWS, Azure, GCP). Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow). Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones. You have ...

help strengthen pre- and post-change validation, enhance observability, and support the continuous improvement of automation capabilities. Technology Stack Linux/UNIX Python Ansible Apache Airflow Prometheus Grafana Loki VMware F5 What We're Looking For We're looking for engineers with: Strong Linux/UNIX administration fundamentals ...

integration failures, data inconsistencies, and production issues Key Skills • Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills • Vector databases and embedding pipelines • Real-time … robust, production-grade data pipelines from scratch. • Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. • Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). • Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). ...

integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time … robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). ...

manage data models, schema structures and data reconciliation processes across multiple source systems. Build, maintain and improve orchestration frameworks using tools such as Airflow and dbt. Develop APIs from scratch to support data access, integration and product functionality. Work closely with AI engineers, machine learning specialists and software developers … schema management principles. Experience creating and maintaining APIs from the ground up, rather than simply integrating with existing APIs. Hands-on experience using Airflow, dbt or similar orchestration and transformation tools. Experience working with large, complex and varied datasets. Not the Right Fit If Your background is heavily focused ...

experience with cloud platforms (AWS, Azure, GCP) Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise‐scale applications. You have team lead ...

experience with cloud platforms (AWS, Azure, GCP) Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise‐scale applications. You have team lead ...

data scientists. How to make an Impact Architect and Implement : Own the technical roadmap for our Spark‐based data processes to ensure our Airflow pipelines are performant, cost‐effective, and scalable. You will enhance our existing services through hands‐on development and solve any complex performance bottlenecks, concurrency issues … deployment. Expert‐level Python and its data ecosystem (Numpy, Pandas), including designing frameworks for data tasks. Deep understanding of distributed data processing engines like Apache Spark. Ability to reason about the full data lifecycle from ingestion through to real‐time serving - your system designs will need to meet downstream ...

production‐ready systems that scientists can trust and use daily. You’ll manage and extend a GCP‐first platform, working with tools like BigQuery, Airflow, dbt, and Terraform. You’ll also help build internal applications using Python, FastAPI, and React, giving teams easy ways to trigger workflows and access … Python skills, including building backend services and working with data workflows Experience with GCP, including BigQuery and cloud‐native tools Hands‐on experience with Airflow, dbt, and modern data pipelines Infrastructure as code experience, ideally using Terraform Experience building or contributing to internal tools or applications Strong ...

involved in a modern data transformation programme, including a planned migration to Microsoft Fabric. Key Responsibilities Develop and maintain data pipelines using Apache Airflow. Design and optimise SQL-based data solutions. Build and enhance Power BI reports and dashboards. Work closely with stakeholders to gather requirements and deliver insights. … Support ongoing improvements to the data platform and reporting environment. Contribute to the organisation's future migration to Microsoft Fabric. Required Skills Experience with Apache Airflow. Strong Azure SQL skills. Power BI development and data modelling experience. Good understanding of ETL/ELT processes and data warehousing concepts. Strong ...

analytics teams through reliable, automated, self‐serve solutions, including Terraform-based infrastructure and CI/CD workflows. You will manage Cloud Composer/Airflow and optimize data pipelines while collaborating with global teams in a remote-first environment across markets. #J-18808-Ljbffr ...

foundational Large Language Models (LLMs), along with sub‐agents, tools, and MCP integrations Architect end‐to‐end ML pipelines, integrating data processing (e.g., Spark, Airflow) with model training, evaluation, and deployment workflows Drive experimentation frameworks, including A/B testing and offline evaluation, to continuously improve model performance … fine‐tuning Large Language Models (LLMs) and building production AI Agents. Proven experience designing scalable data and ML pipelines using tools such as Spark, Airflow, or similar distributed systems. Demonstrated ability to operate as a senior individual contributor, influencing technical strategy and decision‐making without direct authority. Experience partnering ...

ADLIB is seeking a Senior Data Platform Engineer to take ownership of their growing platform and help scale it globally. You will work closely with scientists, analysts, and engineers to create scalable systems from complex ...

Deutsche Bank is seeking a Senior Airflow/Cloud Engineer to join its Workload Automation team in Birmingham. You will work across Control-M, Automic, Airflow and Google Cloud Composer, delivering scalable automation and orchestration solutions. You will design DAGs, optimize performance, and integrate REST APIs within ...