Cloudera NiFi Data Engineer​/Architect

Description: On Site in Cincinnati, Ohio

Our client seeks a Data Engineer/Architect III to assess and optimize Cloudera NiFi implementations, strengthen ETL and ELT pipelines, and enable reliable, secure data movement. The role requires hands‑on engineering in Linux‑based and distributed environments, strong Python skills for transformation and automation, and the ability to deliver clear, actionable recommendations. The engagement is deliverables‑focused with collaboration across internal stakeholders.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $63.00 to $73.00/hr. w2

• Review existing Cloudera NiFi flows and architectures for efficiency, scalability, and maintainability.
• Assess current use cases to ensure NiFi is being applied appropriately and effectively.
• Identify opportunities to simplify flow designs, reduce operational overhead, and improve performance.
• Provide recommendations on best practices, standards, and reusable patterns.
• Support and enhance ETL and ELT pipelines built on NiFi.
• Integrate data from diverse sources including databases, APIs, file systems, streaming platforms, and cloud storage.
• Troubleshoot data flow failures, latency issues, and throughput constraints.
• Implement robust error handling, monitoring, and recovery mechanisms.
• Use Python for transformations, scripting, automation, and custom processor logic where applicable.
• Support integration between NiFi and external systems using custom scripts or utilities.
• Apply best practices for secure data movement, authentication, authorization, and encryption.
• Assist with flow versioning, deployment processes, and operational runbooks.
• Collaborate with internal teams to align platform changes with operational and compliance requirements.
• Act as a technical advisor to internal data and platform teams.
• Document findings, recommendations, and implemented improvements and provide knowledge transfer.

• Proven, hands‑on experience with Cloudera NiFi in production environments.
• Strong knowledge of ETL/ELT concepts and modern data pipeline architectures.
• Proficiency in Python for data processing, scripting, and automation.
• Experience with Linux‑based systems and distributed environments.
• Ability to analyze existing implementations and deliver optimization recommendations.
• Preferred:
  Experience with Cloudera ecosystem components such as Kafka, HDFS, Hive, and Iceberg.
• Preferred:
  Familiarity with CI/CD practices for data pipelines.
• Preferred:
  Experience with monitoring and tuning distributed data platforms.
• Preferred:
  Exposure to cloud and hybrid data architectures.