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
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💰 - Day rate
Unknown
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🗓️ - Date
May 1, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - 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