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# Tech Cyber Managing Consultant

- **Company:** CareerCircle
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Amazon S3, Data Analysis, Audit Trail, Cloud Engineering, CompTIA Security+, Cyber Security, Information Systems, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Desktop Computing, Electronic Data Capture, Event-Driven Programming, Identity and Access Management, Integrated Development Environments, Interoperability, Virtual Private Networks (VPN), Information Systems Security Architecture Professional, Network Troubleshooting, Metadata, Meta-Data Management, Microsoft Office, Performance Tuning, Systems Development Life Cycle, Role-Based Access Control, Remote Access Technology, Software Deployment, Data Streaming, Enterprise Data Management, Data Logging, Data Ingestion, System Availability, Servicebus, Computer Equipment, Data Lakes, Information Technology, Data Lineage, Apache Kafka, Data Management, Data Pipelines, Servicenow, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/va/mclean/378f0635-2fce-4490-bf8c-6f16afcbdfc1

## About the Role

* Bachelor's degree is required
 * Minimum FIVE (5) years of experience in data engineering or ETL development using Informatica or similar enterprise data integration platforms.
 * Experience building and maintaining data pipelines supporting ingestion, transformation, and curation of structured and semi-structured datasets.
 * Hands-on experience developing Java-based data services, APIs, or integration layers supporting enterprise data access and interoperability.
 * Working experience with AWS data platform components (e.g., S3, IAM, networking) and familiarity with lakehouse architecture such as Databricks.
 * Experience implementing production-ready solutions with embedded data quality validation, monitoring, logging, and error handling patterns.
 * Familiarity with data governance concepts, including metadata management, lineage, and access controls within regulated environments.
 * Experience working within Agile and CI/CD-enabled delivery environments supporting secure and repeatable deployments., * Experience modernizing legacy ETL pipelines into cloud-native or lakehouse-based architectures.
 * Familiarity with Databricks capabilities (Delta Lake, Unity Catalog) and downstream analytics enablement patterns.
 * Experience with event-driven or streaming integration patterns (e.g., Kafka, Kinesis, EventBridge).
 * Exposure to enterprise metadata/catalog tools (e.g., Informatica EDC, Axon) supporting governed data platforms.
 * Experience supporting federal data platforms or operating in highly regulated environments with strict security and audit requirements.
 * Knowledge of secure data access patterns, including RBAC/ABAC, encryption, and audit reporting aligned to FISMA and FedRAMP requirements., Natural Gas
Market Area
Communication
Point Of Sale
Data Analysis
Professionalism
Problem Solving
Desktop Support
Customer Service
Business Process
Microsoft Office
Computer Science
Microsoft Access
Customer Support
Waste Management
Biomedical Waste
Technical Issues
Operating Systems
Technical Support
Computer Hardware
Energy Production
Peripheral Devices
Workflow Management
Business Strategies
Root Cause Analysis
Incident Management
Docking (Computers)
Software Deployment
Technical Assistance
Remote Access Systems
Renewable Natural Gas
Information Technology
Development Environment
Wireless Communications
Consultative Approaches
Network Troubleshooting
Management Information Systems
Virtual Private Networks (VPN)
Network Performance Management
Troubleshooting (Problem Solving)

## Description

FedRAMP
Auditing
Metadata
Pipelines
Encryption
Databricks
Scalability
Informatica
Data Access
AWS Kinesis
Data Quality
Apache Kafka
Communication
Data Security
Data Ingestion
Data Pipelines
Access Controls
Data Governance
Data Integration
Data Engineering
Agile Methodology
Data Availability
Exception Handling
Amazon Web Services
Metadata Management
Requirements Analysis
Cloud-Native Computing
Event-Driven Programming
Java (Programming Language)
Extract Transform Load (ETL)
Ethical Standards And Conduct
Electronic Data Capture (EDC)
Systems Development Life Cycle
Role-Based Access Control (RBAC)
Application Programming Interface (API)
Federal Information Security Management Act, * Design, develop, and maintain data ingestion, transformation, and curation pipelines using Informatica and related ETL tools, enabling consistent delivery of high-quality, analytics-ready datasets across the Data Platform.

 * Extend and integrate legacy ETL pipelines into AWS and Databricks lakehouse environments, supporting batch and near real-time ingestion patterns and improving enterprise data availability and reuse.
 * Build and support Java-based data services, APIs, and integration layers that enable secure, governed access to curated data for analytics, reporting, and downstream consumption.
 * Contribute to intake and onboarding activities by supporting requirements analysis, source profiling, and implementation of standardized data integration patterns aligned to defined intake processes and SLAs.
 * Develop production-ready data pipelines and services that meet defined technical, security, and documentation requirements, supporting controlled promotion into production through established SDLC and CI/CD processes.
 * Implement data quality validation, transformation logic, and performance optimization to improve pipeline reliability, scalability, and operational efficiency.
 * Integrate data pipelines and services with AWS components (e.g., S3, messaging/streaming services) and Databricks environments to support secure, scalable data movement and platform interoperability.
 * Support governed data engineering practices by implementing metadata capture, lineage tracking, access control patterns, and audit logging to meet compliance, traceability, and security requirements., Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
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