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

Responsibilities:

• 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.

Experience Requirements:

• 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.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position.

All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

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