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Leidos is an innovation company rapidly addressing the world’s most vexing challenges in national security and health.
Data Integration Engineer
Location
United States
Posted
65 days ago
Salary
$107.9K - $195.1K / year
Seniority
Lead
Job Description
Data Integration Engineer
Leidos
• Design and implement data integration solutions across enterprise systems and cloud data platforms (e.g., Oracle, Snowflake, AWS, Azure). • Extend existing physical data models into logical and semantic data models that support analytics and AI use cases. • Partner with data owners and CDAO technical staff to define, design, and refine enterprise data products, including domains, schemas, interfaces, SLAs, and consumption patterns. • Collaborate with the team to translate enterprise architecture standards and data governance guidelines into implementable models (logical, physical, domain) and integration patterns. • Work closely with Data Engineers to ensure pipelines are aligned to target logical, physical, domain, and semantic models. • Develop, implement, and maintain dimensional, relational, and domain-driven data product models and databases using the IDERA /Embarcadero suite of products. • Ensure assets are optimized for performance, scalability, and AI-readiness within scalable cloud-native data platforms. • Collaborate with data owners and CDAO technical staff to develop and maintain Leidos data protection and data privacy policies governing data use. • Collaborate with CDAO technical staff to develop and maintain the IDERA / Embarcadero repository and portal data objects. • Support metadata registration and governance alignment within Collibra. • Implement data integration patterns including batch, streaming, API-based, and event-driven architectures. • Participate in data quality and validation processes to ensure trusted, production-ready data products. • Contribute to documentation, standards, and modeling best practices.
Job Requirements
- Bachelor’s degree in Computer Science, Information Systems, or related field and 8+ years of relevant experience.
- Strong experience with data modeling (conceptual, logical, semantic, and physical) and using the IDERA /Embarcadero or similar products.
- Hands-on experience on assembling and implementing DDL for Tables, Views, SQL frameworks, and Security policies within relational database systems.
- Understanding of Data Replication products, preferably Oracle’s Golden Gate replication.
- Hands-on experience with cloud data platforms such as Snowflake, AWS, Azure, or GCP.
- Hands-on experience working with ETL/ELT/API developers on the design and implementation of data integration pipelines; preferably experience with Informatica.
- Proficiency in SQL and understanding of performance optimization techniques.
- Experience working with Data Architects and cross-functional technical teams.
- Strong analytical and problem-solving skills.
- US Citizenship is required.
Benefits
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
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