

United Software Group Inc
Cloudera Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloudera Engineer with 12+ months contract duration, remote work in the US, and a pay rate of "X". Key skills include 6+ years in Cloudera ecosystem, cloud platforms, Kubernetes, and strong troubleshooting capabilities.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 1, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Data Access #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Security #Big Data #Cloudera #CLI (Command-Line Interface) #Debugging #Kerberos #Scripting #Deployment #Monitoring #S3 (Amazon Simple Storage Service) #Kafka (Apache Kafka) #Migration #VPC (Virtual Private Cloud) #Azure #Public Cloud #Kubernetes #Terraform #Data Engineering #AI (Artificial Intelligence) #AWS IAM (AWS Identity and Access Management) #Automation #Observability #Storage #ML (Machine Learning) #Cloud #NiFi (Apache NiFi) #ADLS (Azure Data Lake Storage) #Python #IAM (Identity and Access Management)
Role description
Job Title: L3 – Cloudera Public Cloud Platform Engineer
Location : Remote work accepted from anywhere in US
Duration : 12+ Months Contract
Teams Meeting Interview
Job Description:
• 12+ years of experience in Big Data Platform Engineering / Cloud Platform Operations / Infrastructure roles
• 6+ years of hands-on experience with Cloudera ecosystem (CDH/CDP/ Cloudera Public Cloud)
• Demonstrated ability to quickly learn and adapt to new technologies and evolving platform capabilities, beyond the currently defined CDP stack
• Strong expertise in:
• End-to-end CDP platform operations (CDE, CDW, CDF, CDL, CAI)
• Advanced troubleshooting across multi-cluster, multi-environment deployments
• Kubernetes-based runtime environments (troubleshooting and diagnostics)
• Observability frameworks, including SLIs/SLOs, alerting, and performance tuning
• Proven experience in:
• Leading P1/P2 incident response, triage, and resolution
• Managing platform upgrades, patching, and lifecycle events
• Supporting large-scale environments (TB/PB scale, high concurrency workloads)
• Strong understanding of:
• Cloud infrastructure (IAM, VPC, networking, storage)
• Security and governance (Ranger, Kerberos, TLS/SSL, SDX)
• Expected to:
• Lead complex troubleshooting and drive root cause resolution across platform layers
• Mentor and guide L2 engineers
• Coordinate with Cloudera support and infrastructure teams for critical issues
• Hands-on experience in developing and troubleshooting NiFi (CDF) data flows, including:
• Flow design and configuration
• Processor-level debugging and performance tuning
• Handling backpressure, throughput optimization, and failure recovery
Required Skills
• Strong experience with Cloudera CDP Public Cloud
• Expertise in:
• Cloud platforms (AWS/Azure/GCP)
• Kubernetes concepts (troubleshooting-focused)
• Hands-on with:
• CDE, CDW, CDF (NiFi), CAI
• knowledge of:
• IAM, networking, observability tools
• Platforms operating at multi-terabyte to petabyte scale with high concurrency workloads
• Hands-on experience with:
• Kafka (or similar streaming platforms) including monitoring, troubleshooting, and performance tuning
• Experience with Cloudera CDP CLI (Command Line Interface) for:
• Platform operations and administration
• Job execution and service management (CDE/CDW/CDL)
• Automation of routine operational tasks
• Strong working knowledge of:
• Cloud IAM (AWS IAM / Azure AD) including roles, policies, and cross-service access
• User and group mapping across CDP, cloud IAM, and Ranger policies
• Troubleshooting access issues across storage (S3/ADLS), CDP services, and data access layers
Preferred Skills
• Experience with:
• Modernization of legacy data platforms/applications to Cloudera CDP Public Cloud
• Migration and onboarding of workloads to CDE, CDW, and CAI environments
• Supporting hybrid or multi-environment transitions (on-prem → cloud)
• Familiarity with:
• Cloud platforms (AWS, Azure, GCP) including storage, IAM, and networking concepts
• Kubernetes-based runtime environments (troubleshooting-focused)
• Strong scripting and automation skills (Python, Shell, Terraform) for platform operations
What You’ll Work On
• Enterprise-scale Cloudera CDP platform supporting data engineering, analytics, and AI workloads across multiple applications
• Modernization of legacy platforms and applications into cloud-native CDP services
• Operational support and scaling of:
• Data services (CDE, CDW, CDF, CDL)
• AI/ML platforms (CAI, inference, workbenches)
• Platform performance optimization, observability, and reliability engineering for mission-critical workloads
Job Title: L3 – Cloudera Public Cloud Platform Engineer
Location : Remote work accepted from anywhere in US
Duration : 12+ Months Contract
Teams Meeting Interview
Job Description:
• 12+ years of experience in Big Data Platform Engineering / Cloud Platform Operations / Infrastructure roles
• 6+ years of hands-on experience with Cloudera ecosystem (CDH/CDP/ Cloudera Public Cloud)
• Demonstrated ability to quickly learn and adapt to new technologies and evolving platform capabilities, beyond the currently defined CDP stack
• Strong expertise in:
• End-to-end CDP platform operations (CDE, CDW, CDF, CDL, CAI)
• Advanced troubleshooting across multi-cluster, multi-environment deployments
• Kubernetes-based runtime environments (troubleshooting and diagnostics)
• Observability frameworks, including SLIs/SLOs, alerting, and performance tuning
• Proven experience in:
• Leading P1/P2 incident response, triage, and resolution
• Managing platform upgrades, patching, and lifecycle events
• Supporting large-scale environments (TB/PB scale, high concurrency workloads)
• Strong understanding of:
• Cloud infrastructure (IAM, VPC, networking, storage)
• Security and governance (Ranger, Kerberos, TLS/SSL, SDX)
• Expected to:
• Lead complex troubleshooting and drive root cause resolution across platform layers
• Mentor and guide L2 engineers
• Coordinate with Cloudera support and infrastructure teams for critical issues
• Hands-on experience in developing and troubleshooting NiFi (CDF) data flows, including:
• Flow design and configuration
• Processor-level debugging and performance tuning
• Handling backpressure, throughput optimization, and failure recovery
Required Skills
• Strong experience with Cloudera CDP Public Cloud
• Expertise in:
• Cloud platforms (AWS/Azure/GCP)
• Kubernetes concepts (troubleshooting-focused)
• Hands-on with:
• CDE, CDW, CDF (NiFi), CAI
• knowledge of:
• IAM, networking, observability tools
• Platforms operating at multi-terabyte to petabyte scale with high concurrency workloads
• Hands-on experience with:
• Kafka (or similar streaming platforms) including monitoring, troubleshooting, and performance tuning
• Experience with Cloudera CDP CLI (Command Line Interface) for:
• Platform operations and administration
• Job execution and service management (CDE/CDW/CDL)
• Automation of routine operational tasks
• Strong working knowledge of:
• Cloud IAM (AWS IAM / Azure AD) including roles, policies, and cross-service access
• User and group mapping across CDP, cloud IAM, and Ranger policies
• Troubleshooting access issues across storage (S3/ADLS), CDP services, and data access layers
Preferred Skills
• Experience with:
• Modernization of legacy data platforms/applications to Cloudera CDP Public Cloud
• Migration and onboarding of workloads to CDE, CDW, and CAI environments
• Supporting hybrid or multi-environment transitions (on-prem → cloud)
• Familiarity with:
• Cloud platforms (AWS, Azure, GCP) including storage, IAM, and networking concepts
• Kubernetes-based runtime environments (troubleshooting-focused)
• Strong scripting and automation skills (Python, Shell, Terraform) for platform operations
What You’ll Work On
• Enterprise-scale Cloudera CDP platform supporting data engineering, analytics, and AI workloads across multiple applications
• Modernization of legacy platforms and applications into cloud-native CDP services
• Operational support and scaling of:
• Data services (CDE, CDW, CDF, CDL)
• AI/ML platforms (CAI, inference, workbenches)
• Platform performance optimization, observability, and reliability engineering for mission-critical workloads





