551 to 575 of 867 Permanent Apache Airflow Jobs

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems. Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services. Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word … with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines , and cloud-native deployments. Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka , and cloud data platforms. Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications. Strong understanding of LLMOps ...

pragmatic engineering mindset focused on automation, reliability, and maintainable solutions. Preferred Qualifications Experience with Argo CD, Helm, or other GitOps tooling. Familiarity with Airflow, Snowflake, or Apache Iceberg. Experience with Apache Kafka or Amazon MSK. Experience with hybrid cloud, enterprise networking, or multi-account AWS environments. Experience ...

About this role: At Astronomer, we’re redefining how companies run Apache Airflow at scale. Our R&D organization is home to some of the most innovative minds in cloud infrastructure and open-source software. You can’t spell “Data Orchestration” without “Data”, and we’re looking … data platforms from cloud-native component parts - we have a healthy mix of build vs. buy; sometimes building is the right choice. Experience with Apache Airflow. #LI-Hybrid At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion ...

automation, and data architects. The role focuses on building scalable data pipelines, migrating hundreds of Teradata scripts to dbt models, and orchestrating workflows with Apache Airflow (Astronomer). #J-18808-Ljbffr ...

3+ years experience working in version control environments using platforms such as Gitlab or Github 2+ years experience working with job orchestration tools like Apache Airflow, both as a pipeline developer and reviewer 2+ years experience with data ingestion and transformation frameworks (e.g., dbt, Fivetran, or custom/ ...

role involves using technology to automate data processes, working with SQL, DBT, Snowflake, AWS, Airflow, and Python. About Hard Rock Digital Hard Rock Digital is a company providing digital solutions for the iGaming industry. Estimated Benefits Health Insurance Paid Time Off Benefits estimated based on industry standards #J ...

design, build, and maintain data pipelines and infrastructure to support secure, reliable, and scalable public sector services. You will work with AWS, Terraform, Spark, Airflow, Docker, and GitLab CI/CD within a hybrid model, contributing to secure coding practices and collaborating across cross-functional teams. #J-18808-Ljbffr ...

across analytics, product and engineering teams. The role combines hands‐on pipeline work with strategic design, governance, and observability, primarily on AWS with dbt, Airflow and IaC tooling, to support scale, reliability and secure data #J-18808-Ljbffr ...