Database Engineer (MongoDB, Aurora PostgreSQL, AWS)

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

 

Peraton is seeking an experienced Database Engineer – MongoDB, Aurora PostgreSQL, AWS RDB & Oracle to provide database expertise and technical guidance to a development team supporting enterprise applications by design and implement data infrastructure, ETL pipelines, and integration solutions to the Federal Agency customer. This individual will also support the Data Architect with database design, performance tuning, optimization, and data pipeline development efforts while providing hands-on expertise with MongoDB, Oracle, Databricks, and relational database technologies.

 

• →Design and implement ETL workflows using Informatica, and Glue
• →Develop data transformation logic for schema compliance, data accuracy, and data quality
• →Integrate data from on-prem, cloud, and legacy systems
• →Implement data validation and quality checks
• →Optimize pipeline performance and reliability
• →Maintain data lineage tracking and documentation
• →Serve as the Data SME, providing technical expertise and guidance to development and technical teams.
• →Support database design, data modeling, performance tuning, optimization, implementation, and operational support.
• →Support MongoDB, Aurora PostgreSQL, RDS, and relational database environments, including Oracle.
• →Supporting the ETL platforms for large-scale databases exceeding 5TB, ensuring scalability, reliability, and performance.
• →Troubleshoot complex database issues and identify opportunities for performance and operational improvements.
• →Support Databricks and enterprise-level data solutions.
• →Collaborate with developers, architects, and technical teams to develop and maintain scalable, high-performing data integration solutions.

• Bachelor’s Degree and 5 years of professional experience, or a High School Diploma/equivalent and 9 years of professional experience.
• Must be a U.S. Citizen with the ability to obtain and maintain the required Public Trust level clearance.
• 5 years of demonstrated database ETL experience.
• Strong hands-on expertise with MongoDB, Aurora PostgreSQL, RDS, relational database technologies, including Oracle.
• Strong experience with ETL tools such as Informatica, AWS Glue.
• Demonstrated experience supporting large-scale databases greater than 5TB and optimizing enterprise database environments to ensure performance, scalability, reliability, and availability.
• Ability to provide technical expertise and guidance on database architecture, design, implementation, and operational support.

 

 

• Active IRS MBI Clearance
• Experience with Databricks.
• Databricks foundational/basic certification desired.
• Informatica/AWS Glue certification desired.
• Experience supporting highly scalable, enterprise-level database environments.

$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.