Software Engineer
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
Job Family :
Travel Required :
Clearance Required :
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).
Posted July 25, 2026