Senior Data Engineer with Security Clearance

Job Description Everforth ECS is seeking a highly skilled Senior Data Engineer with extensive experience designing, building, and maintaining data platforms and pipelines for large-scale, enterprise applications in support of the Department of Homeland Security. Tools necessary for excelling in this role include SQL (PostgreSQL or MySQL preferred), Elasticsearch/OpenSearch, data modeling and transformation frameworks, and DevSecOps practices in the Cloud.

This role will focus heavily on modernizing legacy data architectures and re-architecting the application's data layer, shifting from Elasticsearch to PostgreSQL or MariaDB as the system of record for transactional data. You will play a critical role in evolving scoring models, intelligence modifiers, and capability gap logic while ensuring alignment and consistency between the new relational database and Elasticsearch.

Key Responsibilities

• Design and architect robust, scalable data models, schemas, indexes, and stored procedures in a relational database to support transactional workloads and complex business logic.
• Lead the migration of the system of record from Elasticsearch to a relational database, including data modeling, transformation, validation, and cutover strategies.
• Develop and maintain data pipelines and integration processes to keep the database and Elasticsearch aligned for search and analytics use cases.
• Implement and evolve scoring models, intelligence modifiers, and capability gap logic in the data layer to support mission-critical decision support.
• Optimize database performance, including indexing strategies, query tuning, and partitioning to support high-volume, low-latency operations.
• Define and enforce data quality, data validation, and data governance standards across legacy and modernized components.
• Collaborate with application engineers to integrate APIs and services with the underlying data models and stored procedures, ensuring seamless functionality and consistent data semantics.
• Provide technical guidance and solutions for legacy data system modernization while minimizing downtime and operational risk during migration.
• Identify and remediate data-related technical debt in older systems while transitioning to modern data engineering patterns, tools, and frameworks.
• Integrate and operate CI/CD pipelines used for building, testing, and deploying data services and schema changes in cloud environments.

Salary: $130,000 - $160,000

Required Skills

• Ability to pass a Public Trust investigation.
• Must have US citizenship.
• Bachelor's degree in a related field.
• Minimum 15 years general work experience.
• 8+ years of experience as a Data Engineer or in a closely related role, with strong experience in legacy data system modernization.
• 5+ years of hands-on experience with relational databases including from-scratch schema design, index creation, stored procedures SQL development, performance tuning, and transaction management.
• 3+ years of experience working with Elasticsearch or OpenSearch, including index design, mappings, and data ingestion strategies.
• Demonstrated experience designing and implementing data models and logic to support scoring models, rules engines, or similar decision-support systems.
• 5+ years of experience supporting applications in production, troubleshooting complex data issues in legacy environments, and proposing effective remediation strategies.
• Strong understanding of data modeling for OLTP/transactional systems, including normalization/denormalization tradeoffs and referential integrity.
• Solid understanding of Git, version contr ol workflows, and collaborative development practices.

Desired Skills

• Experience re-architecting systems to move the system of record between data stores (e.g., Elasticsearch to database), including coexistence, synchronization, and phased cutovers.
• Familiarity with automated testing frameworks and tools for data validation, regression testing, and schema change verification.
• Experience with the following tools: Docker, Kubernetes, Jenkins, Terraform, Ansible, OpenSearch, Elasticsearch, Gitlab.
• 5+ years of experience with relational databases and ORM technologies (e.g., JPA/Hibernate), experience with Elasticsearch or OpenSearch alignment patterns a plus.
• Experience supporting analytics, reporting, monitoring, and/or data science workloads on top of transactional systems, including exposing data needed for scoring model evolution and intelligence modifiers.
• Familiarity working in Agile / SCRUM development environments. #EverforthECS1 ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value:
• Attracting and developing top talent and high-performing teams
• Fostering a culture that is engaging, accountable, and mission-driven Meet the challenge. Make a difference with Everforth ECS!