Guidehouse is seeking a Software Developer (Java / ETL) to design, develop, and maintain enterprise data ingestion pipelines, onboarding workflows, and API-based data services using Java and ETL platforms (e.g., Informatica). This on-site role is based in McLean, Virginia.

Responsibilities

Qualifications:

Design, develop, and maintain enterprise data ingestion pipelines, onboarding workflows, and API-based data services to support standardized data intake into the Data Platform.
Implement intake and onboarding solutions covering discovery, requirements analysis, source system profiling, technical design, aligned to SLAs and governance.
Modernize legacy ingestion pipelines with AWS and Databricks lakehouse architecture, supporting batch and near real-time ingestion for enterprise data services.
Develop and expose API-based data services for secure data exchange across enterprise systems, analytics platforms, and downstream consumers.
Build production-ready ingestion pipelines and onboarding frameworks with logging, auditing, error handling, and reliability for production deployments.
Implement robust logging, monitoring, and auditing to support traceability and incident response.
Collaborate with cloud engineering and platform operations to integrate pipelines with AWS services (S3, IAM, networking) and ensure secure connectivity.
Contribute to governance by incorporating data classification, access control, and lineage updates as part of onboarding and ingestion processes.
Bachelor's degree.
7+ years in application and data engineering, with hands-on

About the role

Guidehouse is seeking a Software Developer (Java / ETL) to design, develop, and maintain enterprise data ingestion pipelines, onboarding workflows, and API-based data services using Java and ETL platforms (e.g., Informatica). This on-site role is based in McLean, Virginia.

Responsibilities

Qualifications:

Design, develop, and maintain enterprise data ingestion pipelines, onboarding workflows, and API-based data services to support standardized data intake into the Data Platform.
Implement intake and onboarding solutions covering discovery, requirements analysis, source system profiling, technical design, aligned to SLAs and governance.
Modernize legacy ingestion pipelines with AWS and Databricks lakehouse architecture, supporting batch and near real-time ingestion for enterprise data services.
Develop and expose API-based data services for secure data exchange across enterprise systems, analytics platforms, and downstream consumers.
Build production-ready ingestion pipelines and onboarding frameworks with logging, auditing, error handling, and reliability for production deployments.
Implement robust logging, monitoring, and auditing to support traceability and incident response.
Collaborate with cloud engineering and platform operations to integrate pipelines with AWS services (S3, IAM, networking) and ensure secure connectivity.
Contribute to governance by incorporating data classification, access control, and lineage updates as part of onboarding and ingestion processes.
Bachelor's degree.
7+ years in application and data engineering, with hands-on

Track similar jobs

Get email alerts when new roles like this are posted.

Based on: Software Developer (Java / ETL)

See how this role matches your resume

Sign in to get an AI match score and personalized feed.

Create account Sign in

More in Engineering

Product Fintech SaaS Remote-first Berlin