Mondo
Apply now:
Databricks System Engineer
, location is
Remote
. The start date is
ASAP
for this
Contract
position.
Job Title:
Databricks Systems Engineer Location-Type : Remote Start Date Is:
ASAP Duration:
Contract 5.5 months Compensation Range:
$49.50-$65.00/hr W2
Responsibilities
: Architect, configure, and optimize Databricks Pipelines for large-scale data processing within an Azure Data Lakehouse environment. Set up and manage Azure infrastructure components including Databricks Workspaces, Azure Containers (AKS/ACI), Storage Accounts, and Networking. Design and implement a monitoring and observability framework using tools like Azure Monitor, Log Analytics, and Prometheus/Grafana. Collaborate with platform and data engineering teams to enable microservices-based architecture for scalable and modular data solutions. Drive automation and CI/CD practices using Terraform, ARM templates, and GitHub Actions/Azure DevOps. Requirements
:
Strong hands-on experience with Azure Databricks, Delta Lake, and Apache Spark. Deep understanding of Azure services: Resource Manager, AKS, ACR, Key Vault, and Networking. Proven experience in microservices architecture and container orchestration. Expertise in infrastructure-as-code, scripting (Python, Bash), and DevOps tooling. Familiarity with data governance, security, and cost optimization in cloud environments. Nice to have
:
Experience with event-driven architectures (Kafka/Event Grid). Knowledge of data mesh principles and distributed data ownership.
Databricks System Engineer
, location is
Remote
. The start date is
ASAP
for this
Contract
position.
Job Title:
Databricks Systems Engineer Location-Type : Remote Start Date Is:
ASAP Duration:
Contract 5.5 months Compensation Range:
$49.50-$65.00/hr W2
Responsibilities
: Architect, configure, and optimize Databricks Pipelines for large-scale data processing within an Azure Data Lakehouse environment. Set up and manage Azure infrastructure components including Databricks Workspaces, Azure Containers (AKS/ACI), Storage Accounts, and Networking. Design and implement a monitoring and observability framework using tools like Azure Monitor, Log Analytics, and Prometheus/Grafana. Collaborate with platform and data engineering teams to enable microservices-based architecture for scalable and modular data solutions. Drive automation and CI/CD practices using Terraform, ARM templates, and GitHub Actions/Azure DevOps. Requirements
:
Strong hands-on experience with Azure Databricks, Delta Lake, and Apache Spark. Deep understanding of Azure services: Resource Manager, AKS, ACR, Key Vault, and Networking. Proven experience in microservices architecture and container orchestration. Expertise in infrastructure-as-code, scripting (Python, Bash), and DevOps tooling. Familiarity with data governance, security, and cost optimization in cloud environments. Nice to have
:
Experience with event-driven architectures (Kafka/Event Grid). Knowledge of data mesh principles and distributed data ownership.