

Realign LLC
Databricks Data Engineer(Azure + Python)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Data Engineer (Azure + Python) on a remote contract basis, requiring expertise in Apache Spark, Kubernetes, CI/CD, and Python. Key skills include SQL, Docker, and infrastructure management. Contract length and pay rate are unspecified.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
480
-
ποΈ - Date
March 13, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
New York, NY
-
π§ - Skills detailed
#Apache Spark #AWS (Amazon Web Services) #Dynatrace #Alation #Kubernetes #Data Processing #Scala #SQL (Structured Query Language) #SQL Queries #Databricks #Data Engineering #Capacity Management #DevOps #Spark (Apache Spark) #Deployment #Data Lake #Python #Data Lakehouse #Observability #Ansible #Leadership #Azure #Docker #Infrastructure as Code (IaC) #Monitoring #Jenkins #Dremio #Data Pipeline #Security
Role description
Remote, New York 10048 Posted March 12th, 2026
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Job Type: Contract
Job Category: IT
Role : Databricks Data Engineer(Azure + Python) Location : Remote Contract
Job Description
Must Have Technical/Functional Skills:
Exp. in Apache SPARK development, Kubenetes, CI-CD Pipeline, Jenkins, Dockers, Kubernetes, PL SQL, Python
Writing SQL queries and procedures
Writing Python code to automate and develop small functionalities
Creating CI/CD pipelines
Writing Jenkins jobs
Managing applications in Kubernetes environments, including deployment, configuration, and triaging
Hands-on experience with Apache Spark
Roles & Responsibilities:
The candidate will provide technical leadership for the team(s) they are associated with and participate in key technical decisions. They will engage with customers on escalations and ensure that there is continuous improvement in all areas. Participate in technical discussions within the team and with other groups within Business Units associated with specified projects
You design, develop, and maintain our real time data processing, data Lakehouse infrastructure.
You have experience with Python writing data pipelines and data processing layers.
You develop and maintain Ansible playbooks for infrastructure configuration and management
You develop and maintain Kubernetes manifests, Helm charts, and other deployment artifacts
You have hands-on experience on Docker and containerization and how to manage/prune the images in private registries.
You have hands-on experience on access control in K8S cluster
You have hands-on experience on SPARK and maintaining SPARK CLUSTER
You monitor and troubleshoot issues related to Kubernetes clusters and containerized applications
You drive initiatives to containerize standalone apps to be containerized i n Kubernetes.
You develop and maintain infrastructure as code (IaC) and collaborate with other teams to ensure consistent infrastructure management across the organization
You use observability tools to do βcapacity managementβ of our services and infrastructure resources.
You are for guiding the development and testing activities of other engineers that involve several inter-dependencies
Experience in AWS ECS and EKS is added advantage
Experience in Dremio is added advantage
Experience in Dynatrace or any tracing, infrastructure, or real time monitoring tool is added advantage
Required Skills
DEVOPS ENGINEER
SENIOR EMAIL SECURITY ENGINEER
Remote, New York 10048 Posted March 12th, 2026
Looking for more job opportunities? Click here!
Job Type: Contract
Job Category: IT
Role : Databricks Data Engineer(Azure + Python) Location : Remote Contract
Job Description
Must Have Technical/Functional Skills:
Exp. in Apache SPARK development, Kubenetes, CI-CD Pipeline, Jenkins, Dockers, Kubernetes, PL SQL, Python
Writing SQL queries and procedures
Writing Python code to automate and develop small functionalities
Creating CI/CD pipelines
Writing Jenkins jobs
Managing applications in Kubernetes environments, including deployment, configuration, and triaging
Hands-on experience with Apache Spark
Roles & Responsibilities:
The candidate will provide technical leadership for the team(s) they are associated with and participate in key technical decisions. They will engage with customers on escalations and ensure that there is continuous improvement in all areas. Participate in technical discussions within the team and with other groups within Business Units associated with specified projects
You design, develop, and maintain our real time data processing, data Lakehouse infrastructure.
You have experience with Python writing data pipelines and data processing layers.
You develop and maintain Ansible playbooks for infrastructure configuration and management
You develop and maintain Kubernetes manifests, Helm charts, and other deployment artifacts
You have hands-on experience on Docker and containerization and how to manage/prune the images in private registries.
You have hands-on experience on access control in K8S cluster
You have hands-on experience on SPARK and maintaining SPARK CLUSTER
You monitor and troubleshoot issues related to Kubernetes clusters and containerized applications
You drive initiatives to containerize standalone apps to be containerized i n Kubernetes.
You develop and maintain infrastructure as code (IaC) and collaborate with other teams to ensure consistent infrastructure management across the organization
You use observability tools to do βcapacity managementβ of our services and infrastructure resources.
You are for guiding the development and testing activities of other engineers that involve several inter-dependencies
Experience in AWS ECS and EKS is added advantage
Experience in Dremio is added advantage
Experience in Dynatrace or any tracing, infrastructure, or real time monitoring tool is added advantage
Required Skills
DEVOPS ENGINEER
SENIOR EMAIL SECURITY ENGINEER





