What are the responsibilities and job description for the Data Engineer / Architect III - W2 Role position at Hudson IT?
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
ETL / ELT Pipeline Development
Python Automation
Governance & Security
Advisory & Collaboration
Technical Environment
Data Integration & Processing
Programming
Infrastructure
Big Data & Cloudera
DevOps
Architecture
What Success Looks Like
Ideal Candidate Profile
The ideal candidate will:
Required Skills
Preferred Skills
Compensation & Benefits
Important Notes
W2 Only
Hybrid Role - Cincinnati, OH
Strong Apache NiFi Experience Required
Python & Linux Expertise Required
Data Engineering / Platform Optimization Focus
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
Salary : $50 - $55