Data Engineer / Architect III - W2 Role

Cincinnati, OH, US • Posted 17 hours ago • Updated 4 hours ago
Full Time
On-site
USD $50.00 - 55.00 per hour
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Management
  • Clustering
  • Scalability
  • Operational Efficiency
  • Relational Databases
  • Streaming
  • Cloud Storage
  • Distributed File System
  • Real-time
  • Orchestration
  • Authentication
  • Authorization
  • Encryption
  • RBAC
  • Version Control
  • Knowledge Transfer
  • Collaboration
  • Analytics
  • Big Data
  • DevOps
  • Cloudera
  • ELT
  • Scripting
  • Linux Administration
  • Extract
  • Transform
  • Load
  • Data Integration
  • Root Cause Analysis
  • Apache Kafka
  • Apache Hive
  • HDFS
  • Continuous Integration
  • Continuous Delivery
  • Cloud Computing
  • Data Governance
  • Performance Tuning
  • Insurance
  • Professional Development
  • Apache NiFi
  • Python
  • Linux
  • Data Engineering
  • Optimization
  • FOCUS

Summary

Position Summary

Seeking a highly skilled Data Engineer / Architect III to support enterprise-scale data integration and platform optimization initiatives focused on the Cloudera ecosystem and Apache NiFi. This role is responsible for evaluating, optimizing, modernizing, and operationalizing existing NiFi-based data integration platforms while serving as both a hands-on engineer and a technical advisor.

The ideal candidate will possess strong experience with Apache NiFi, ETL/ELT pipelines, Python automation, Linux environments, and distributed systems.

Employment Type: W2 - Full Time

Location: Cincinnati, Ohio (Hybrid)

Contract Duration :12 Months


Deadline to apply: June 4, 2026

Key Responsibilities

Apache NiFi Platform Engineering
  • Assess and optimize existing Apache NiFi and Cloudera environments.
  • Review:
    • Processor Configurations
    • Queue Management
    • Flow Prioritization
    • Back Pressure Settings
    • Clustering Strategies
  • Improve platform scalability, reliability, and operational efficiency.
  • Establish reusable design standards and governance practices.

ETL / ELT Pipeline Development
  • Design, develop, optimize, and support enterprise ETL/ELT pipelines.
  • Integrate data from:
    • Relational Databases
    • APIs
    • Streaming Platforms
    • Cloud Storage
    • Distributed File Systems
  • Support batch and real-time data ingestion.
  • Resolve:
    • Pipeline Failures
    • Data Latency Issues
    • Throughput Bottlenecks
    • Operational Instability

Python Automation
  • Develop Python-based automation and transformation scripts.
  • Build integrations between NiFi and external systems.
  • Automate deployment, validation, monitoring, and operational support processes.
  • Support custom orchestration and processing logic.

Governance & Security
  • Implement enterprise security standards including:
    • Authentication
    • Authorization
    • Encryption
    • RBAC Controls
    • Secure Data Movement
  • Support deployment procedures and operational runbooks.
  • Assist with version control and CI/CD processes.

Advisory & Collaboration
  • Serve as a technical advisor for platform modernization initiatives.
  • Document:
    • Architecture Recommendations
    • Operational Procedures
    • Knowledge Transfer Materials
    • Optimization Findings
  • Collaborate with:
    • Data Engineers
    • Architects
    • DevOps Teams
    • Infrastructure Teams
    • Analytics Teams
    • Application Teams

Technical Environment

Data Integration & Processing
  • Apache NiFi
  • ETL / ELT Pipelines
  • Data Integration Platforms

Programming
  • Python

Infrastructure
  • Linux
  • Distributed Systems

Big Data & Cloudera
  • Kafka
  • Hive
  • HDFS
  • Iceberg

DevOps
  • CI/CD Pipelines

Architecture
  • Cloud & Hybrid Environments

What Success Looks Like
  • Improve performance and reliability of enterprise NiFi environments.
  • Optimize large-scale ETL/ELT pipelines.
  • Reduce operational overhead through automation.
  • Establish reusable platform standards and governance practices.
  • Deliver scalable and maintainable data integration solutions.
  • Support long-term platform modernization initiatives.

Ideal Candidate Profile

The ideal candidate will:
  • Have strong hands-on Apache NiFi experience in enterprise production environments.
  • Be highly skilled in ETL/ELT architecture and optimization.
  • Possess advanced Python scripting expertise.
  • Have strong Linux and distributed systems knowledge.
  • Demonstrate excellent troubleshooting and root cause analysis capabilities.
  • Be comfortable working independently and advising technical teams.
  • Balance architecture strategy with operational execution.

Required Skills
  • Apache NiFi (Production Environment)
  • Cloudera Ecosystem
  • ETL / ELT Development
  • Python Scripting & Automation
  • Linux Administration
  • Distributed Systems
  • Data Pipeline Optimization
  • Data Integration
  • Monitoring & Operational Support
  • Root Cause Analysis
  • Secure Data Movement & Governance

Preferred Skills
  • Apache Kafka
  • Hive
  • HDFS
  • Iceberg
  • CI/CD Pipelines
  • Cloud & Hybrid Architectures
  • Enterprise Data Governance
  • Reusable Integration Frameworks
  • Distributed Systems Performance Tuning

Compensation & Benefits
  • Medical, Dental & Vision Insurance
  • 401(k)
  • Paid Time Off
  • Professional Development Opportunities
  • Additional Benefits Package

Important Notes
W2 Only
Hybrid Role - Cincinnati, OH
Strong Apache NiFi Experience Required
Python & Linux Expertise Required
Data Engineering / Platform Optimization Focus
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91134517
  • Position Id: f7dfa3063bc2714e4f17e7a207e4444a
  • Posted 17 hours ago
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