Software Developer - Managing Consultant

Guidehouse • Tysons Corner, VA

2d

About The Position

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.

Requirements

• 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).

Nice To Haves

• 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

Responsibilities

• Design, develop, and maintain enterprise data ingestion pipelines, onboarding workflows, and API-based data services using Java and ETL platforms (e.g., Informatica).
• Implement intake and onboarding solutions that support end-to-end lifecycle activities, including discovery, requirements analysis, source system profiling, and technical design.
• Modernize and integrate legacy data ingestion pipelines with AWS and Databricks lakehouse architecture, supporting batch and near real-time ingestion patterns.
• 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.
• Implement robust logging, auditability, and monitoring capabilities across ingestion and integration workflows.
• Collaborate with cloud engineering and platform operations teams to integrate ingestion pipelines with AWS services (e.g., S3, messaging/streaming services).
• Contribute to governance and compliance practices by incorporating data classification, access control patterns, and lineage updates.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior