Job Overview
Location
Atlanta HQ
Job Type
Full-time
Category
Data Engineer
Date Posted
March 24, 2026
Full Job Description
đź“‹ Description
- • As a Data Platform Engineer at Nexus Cognitive LLC, you will play a critical role in enabling organizations to transform complex data into actionable insights by managing and optimizing the underlying data infrastructure that powers AI, analytics, and cloud innovation. Your work ensures that clients can focus on strategic decision-making without being hindered by the complexities of modern data platforms.
- • You will manage the daily operations of NexusOne products across on-premise and cloud environments, installing, configuring, and maintaining Cloudera Data Platform (CDP) clusters with minimal downtime while adhering to best practices for performance, security, and scalability.
- • Your responsibilities include optimizing distributed production deployments, configuring security via Ranger and Kerberos, setting up monitoring with Datadog, developing technical documentation, participating in agile workflows, providing expert on-call support, mentoring junior team members, and collaborating with cross-functional teams to design scalable data solutions.
- • You will stay current with emerging technologies in the Hadoop ecosystem, cloud platforms (AWS, Azure, GCP), and open-source tools like Spark, Airflow, Kafka, Iceberg, and Kubeflow, applying this knowledge to drive continuous improvement and innovation in data platform operations.
- • Nexus Cognitive fosters a culture of curiosity, ownership, collaboration, and care across its U.S. and India teams, offering a supportive environment where your technical expertise is valued and your growth is actively encouraged through learning opportunities and meaningful contributions to impactful projects.
- • In this role, you will deepen your expertise in enterprise-scale data platforms, gain hands-on experience with hybrid cloud architectures, and develop leadership skills by mentoring others while contributing to the evolution of data infrastructure that enables AI-driven business transformation.
🎯 Requirements
- • US Citizenship Required
- • Minimum of 5 years of experience installing and administering Cloudera Data Platform (CDP) in large-scale, hybrid (on-premise and cloud) environments
- • Hands-on expertise with open-source Linux-based data technologies including Spark, Kafka, NiFi, Iceberg, Jupyter Notebooks, Kubeflow, MLFlow, and cloud-native tools across AWS, Azure, and GCP
- • Strong proficiency in configuring and managing CDP security using Ranger and Kerberos, integrating with directory services like Azure Active Directory, FreeIPA, and LDAP
- • Proven ability to troubleshoot complex technical issues, optimize CDP performance (memory, CPU, storage, network), and maintain high availability through patching, upgrades, and capacity planning
- • Experience developing and maintaining technical documentation, runbooks, and knowledge base articles to support operational excellence and team knowledge sharing
🏖️ Benefits
- • Collaborative team culture built on curiosity, respect, and continuous learning
- • Challenging work where your contributions directly impact client innovation in cloud, data, and AI
- • Leadership investment in professional development and skill growth
- • Opportunity to work at the forefront of cloud, data, and AI transformation with a growing, innovative team
Skills & Technologies
About Nexus Cognitive LLC
Nexus Cognitive LLC is a Delaware-registered data and AI consultancy that designs cloud-native data platforms, implements real-time analytics, and delivers machine-learning solutions for Fortune 1000 enterprises. The company focuses on modernizing legacy data estates through Microsoft Azure, Databricks, and open-source technologies, offering advisory, implementation, and managed services across retail, healthcare, and financial services sectors. Founded in 2018, it operates with distributed teams across the United States and maintains Microsoft Solutions Partner status for Data & AI and Digital & App Innovation.
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