Apache NiFi Engineer
Anivas Technology
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Job summary
Anivas Technology, Llc in Washington, DC seeks an experienced Apache NiFi Engineer to design, develop, deploy, and maintain complex NiFi data flows for secure data onboarding and integration. The role requires deep NiFi architecture expertise, custom processor development, and adherence to Zero Trust security and governance standards.
You will collaborate with Data Stewards, Enterprise Architects, and mission stakeholders to onboard new data sources, ensure metadata standards, and implement
Qualifications
- 12+ years experience in data integration, ETL, or enterprise middleware.
- 8+ years hands-on Apache NiFi development experience.
- Experience designing and supporting large-scale enterprise data ingestion architectures.
- Experience onboarding new data sources and integrating complex systems.
- Active TS/SCI clearance required.
Responsibilities
- Design, develop, test, deploy, and maintain complex NiFi data flows for enterprise onboarding and integration.
- Engineer scalable, fault-tolerant ingestion pipelines for structured to unstructured data.
- Develop reusable flow frameworks and patterns to accelerate onboarding.
- Optimize flow performance and resource usage in clustered environments.
- Troubleshoot and resolve complex data movement and transformation issues.
Skills
Education
Tools
Job description
We are seeking a highly skilled Apache NiFi Engineer to support enterprise data onboarding, integration, and transformation initiatives within a Zero Trust environment. The successful candidate will design, develop, deploy, and maintain complex Apache NiFi data flows that enable secure, scalable, and reliable movement of mission and enterprise data across disparate systems.
This role requires deep expertise in Apache NiFi architecture, custom processor development, enterprise integration patterns, metadata management, data transformation, and workflow automation. The engineer will work closely with Data Stewards, Enterprise Architects, Zero Trust Core Services teams, Data Catalog personnel, system owners, and mission stakeholders to onboard new data sources and ensure compliance with enterprise data standards and security requirements.
- Design, develop, test, deploy, and maintain complex Apache NiFi data flows supporting enterprise data onboarding and integration requirements.
- Engineer scalable and fault-tolerant ingestion pipelines capable of processing structured, semi-structured, and unstructured data.
- Develop reusable flow frameworks and integration patterns to accelerate onboarding activities.
- Optimize flow performance, throughput, latency, and resource utilization across clustered environments.
- Troubleshoot and resolve complex data movement, transformation, and processing issues.
- Develop custom Apache NiFi processors, controller services, reporting tasks, and extensions using Java.
- Schema validation
- Security classification enforcement
- API integrations
- Workflow automation
- Extend NiFi capabilities to support mission-specific onboarding requirements.
- Develop shared processor libraries and reusable components.
- REST APIs
- SOAP Services
- JDBC/ODBC Connections
- Kafka
- File-Based Transfers
- Design data ingestion and routing strategies across multiple environments.
- Support onboarding of mission and enterprise data assets into approved repositories and data services.
- Implement metadata collection, tagging, and enrichment capabilities within data onboarding workflows.
- Support enterprise data catalog and governance initiatives.
- Ensure onboarding workflows comply with metadata standards, taxonomy requirements, and stewardship processes.
- Collaborate with Data Stewards and Data Owners to improve data quality and discoverability.
- Implement secure data movement patterns aligned with Zero Trust principles.
- Integrate authentication, authorization, encryption, and auditing capabilities into data pipelines.
- Coordinate with cybersecurity and Zero Trust teams to ensure compliance with enterprise security requirements.
- Support Attribute-Based Access Control (ABAC) and policy-driven data access models.
- 12+ years experience. Experience working with users to help define their database use, data analytics, and the data user experience.
- 12+ years of data integration, ETL, or enterprise middleware experience.
- 8+ years of hands-on Apache NiFi development experience.
- Experience designing and supporting large-scale enterprise data ingestion architectures.
- Experience onboarding new data sources and integrating complex systems.
Demonstrated expertise with:
- NiFi Flow Design
- Process Groups
- Remote Process Groups
- Site-to-Site Communications
- Parameter Contexts
- Flow Versioning
- NiFi Registry
- Clustered Deployments
- Provenance Tracking
- Flow Performance Tuning
- Secure Flow Design
- Java-based NiFi Processors
- Reporting Tasks
- Custom APIs
- Metadata Extraction Processors
- Content Parsing Processors
- Security Enforcement Processors
- Data Quality Validation Processors
Strong experience with:
- Java
- Spring Framework
- JSON
- XML
- Parquet
- REST APIs
- SQL
- Elasticsearch
- Kafka
- Git
- Docker
Understanding of:
- Zero Trust Architecture
- Data-Centric Security
- PKI
- TLS
- Identity and Access Management
- Data Governance
- Metadata Management
- Active TS/SCI clearance required.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical discipline.
- Experience supporting DIA, NSA, NGA, or other Intelligence Community customers.
- Experience integrating with Data Catalog platforms and metadata repositories.
- Experience with ontology, taxonomy, and semantic tagging implementations.
- Familiarity with Cloudera DataFlow, Hortonworks DataFlow, or large-scale NiFi deployments.
- Experience developing automated onboarding workflows.
- Knowledge of enterprise data governance and stewardship processes.
- Experience operating in highly regulated or classified environments.
The ideal candidate is not simply a NiFi user, but a NiFi architect and developer who can build custom processors from scratch, solve complex integration challenges, optimize enterprise-scale data flows, and lead onboarding efforts across multiple systems and organizations. This individual should be the technical expert that other engineers rely upon for advanced flow design, custom processor development, and enterprise data integration solution
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