Software Developer - Senior Consultant

McLean, VA, US • Posted 3 days ago • Updated 1 hour ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Security Clearance
  • Real-time
  • Onboarding
  • Requirements Analysis
  • Documentation
  • Promotions
  • Software Development Methodology
  • Performance Tuning
  • Scalability
  • Operational Efficiency
  • Messaging
  • Regulatory Compliance
  • Data Engineering
  • Data Integration
  • Java
  • Amazon Web Services
  • Amazon S3
  • Computer Networking
  • Embedded Systems
  • Data Quality
  • Data Governance
  • Access Control
  • Agile
  • Continuous Integration
  • Continuous Delivery
  • Extract
  • Transform
  • Load
  • Cloud Computing
  • Databricks
  • Unity
  • Analytics
  • Streaming
  • Apache Kafka
  • Amazon Kinesis
  • Meta-data Management
  • Informatica
  • EDC
  • RBAC
  • Encryption
  • Auditing
  • FISMA
  • FedRAMP
  • Insurance
  • Personal Development
  • Community Development
  • SAP BASIS
  • Law
  • LOS
  • Communication
  • Banking
  • Reporting
  • Recruiting

Summary

Job Family:
Data Engineering & Architecture Consulting

Travel Required:
Up to 10%

Clearance Required:
Ability to Obtain Public Trust

What You Will Do:
  • 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.

What You Will Need:
  • 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.

What Would Be Nice To Have:
  • 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.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

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.
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: RTX155bfa
  • Position Id: 70a52cb5eefd76501d439f07b83475fc
  • Posted 3 days ago
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