Guidehouse

Software Developer - Managing Consultant

Guidehouse • $100K — $130K *
Mclean, VA 22101In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant field.
  • 7+ years of experience in application and data engineering with Java development.
  • 5+ years of experience with ETL tools like Informatica.
  • Proven experience in designing data ingestion pipelines for structured and semi-structured data.
  • Strong integration skills with AWS services and modern lakehouse architectures.
  • Experience in building API-driven integration services.
  • Familiarity with secure development best practices in regulated environments.

Responsibilities

  • Design and maintain enterprise data ingestion pipelines and workflows using Java and ETL platforms.
  • Implement end-to-end intake solutions, ensuring alignment with processes and governance.
  • Modernize legacy data pipelines using AWS and Databricks for improved data flow.
  • Develop API-driven data services for secure data exchange across systems.
  • Maintain and promote production-ready ingestion pipelines with documentation and security compliance.
  • Implement monitoring and logging for reliable and auditable workflows.
  • Collaborate with engineering teams to ensure scalable and secure integrations with AWS.

Benefits

  • Comprehensive medical, dental, and vision insurance.
  • Paid time off including sick leave and holidays.
  • Parental leave and adoption assistance.
  • 401(k) retirement plan.
  • Tuition reimbursement and professional development opportunities.
  • Employee referral program and community outreach initiatives.
  • Emergency back-up childcare support.
Full Job Description
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 enterprise data ingestion pipelines, onboarding workflows, and API-based data services using Java and ETL platforms (e.g., Informatica), enabling standardized and repeatable data intake into the Data Platform.
  • Implement intake and onboarding solutions that support end-to-end lifecycle activities, including discovery, requirements analysis, source system profiling, and technical design, aligned to defined intake processes, SLAs, and governance requirements.
  • Modernize and integrate legacy data ingestion pipelines with AWS and Databricks lakehouse architecture, supporting batch and near real-time ingestion patterns and enabling consistent data flow into enterprise data services.
  • Develop and expose API-driven data services and integration patterns to facilitate secure data exchange across enterprise systems, analytics platforms, and downstream consumers.
  • Build and maintain production-ready ingestion pipelines and onboarding frameworks that meet technical, security, and documentation requirements for controlled promotion into production environments.
  • Implement robust logging, auditability, and monitoring capabilities across ingestion and integration workflows to support traceability, incident response, and operational reliability.
  • Collaborate with cloud engineering and platform operations teams to integrate ingestion pipelines with AWS services (e.g., S3, messaging/streaming services) and ensure secure, scalable connectivity across systems.
  • Contribute to governance and compliance practices by incorporating data classification, access control patterns, and lineage updates as part of onboarding and ingestion processes.


What You Will Need:
  • Bachelor's degree is required
  • Minimum SEVEN (7) years of experience in application and data engineering, including strong hands-on development in Java and enterprise integration frameworks.
  • Minimum FIVE (5) years of experience with ETL tools (e.g., Informatica) developing and maintaining large-scale data ingestion pipelines.
  • Experience designing and implementing data ingestion pipelines and onboarding workflows for structured and semi-structured data sources.
  • Strong experience integrating legacy data systems with cloud-based platforms, including AWS services (e.g., S3, IAM, networking) and modern lakehouse architectures.
  • Experience building and maintaining API-based integration services for enterprise data exchange and system interoperability.
  • Experience implementing production-grade solutions with logging, auditing, error handling, and reliability patterns aligned to enterprise operations requirements.
  • Familiarity with secure development practices, including access controls, encryption, and compliance requirements in regulated environments (e.g., FISMA, FedRAMP High).


What Would Be Nice To Have:
  • Experience supporting enterprise data intake and onboarding services within a governed data platform or similar large-scale data modernization effort.
  • Experience integrating with Databricks lakehouse architecture, including ingestion into Delta Lake and downstream analytics enablement.
  • Familiarity with streaming and event-driven architectures (e.g., Kafka, Kinesis, EventBridge) for near real-time data ingestion.
  • Experience with DevSecOps practices, including CI/CD pipelines, automated testing, and controlled deployments across environments.
  • Exposure to enterprise metadata, lineage, and catalog tooling supporting governed data platforms.
  • Experience supporting federal clients or working in highly regulated environments with strict data protection and audit 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 a management consulting firm headquartered in Washington, D.C. The firm provides consulting services to clients in the public and commercial sectors, with a focus on energy, financial services, healthcare, national security, and aerospace and defense. Guidehouse was founded in 2018 as a spin-off from PwC. The firm has over 7,000 employees and operates in more than 50 locations worldwide.
Learn more about Guidehouse
Size
8,000 employees
Industry
Business Services
Founded
2018
* Ladders Estimates

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