Systems Engineer MID - App Services NEN Tools Mgmt

Systems Engineer MID - App Services NEN Tools MgmtCandidates must be U.S. citizens able to obtain and/or maintain a Department of Defense security clearance as a condition and continuation of employment.Location: San Diego, California (Onsite)Role OverviewThe Data Engineer designs, builds, integrates, and sustains secure enterprise data solutions that enable analytics, reporting, and informed decision-making. The position develops scalable data pipelines, integrates data from diverse sources, improves data quality and availability, and supports cloud and on-premises platforms in a mission-critical environment. This role will contribute to modernization activities in an Agile/DevOps operating culture.Key ResponsibilitiesDesign, develop, test, deploy, and maintain scalable ETL/ELT pipelines that collect, transform, validate, and deliver data from enterprise systems.Build and optimize data models, schemas, tables, views, and curated data sets that support analytics and business intelligence.Develop data-processing solutions using SQL, Python, and other approved technologies.Integrate cloud and on-premises data platforms while supporting secure data movement, interoperability, and performance.Implement automated data-quality checks, reconciliation controls, monitoring, and exception handling.Troubleshoot pipeline failures, data discrepancies, and performance degradation; perform root-cause analysis and implement corrective actions.Partner with stakeholders to define data requirements, source-to-target mappings, and transformation rules.Apply data governance, security, and privacy requirements throughout the data lifecycle.Support platform upgrades, data migrations, modernization initiatives, and performance tuning.Create and maintain technical documentation, including architecture diagrams, data dictionaries, and standard operating procedures.Participate in Agile planning, technical reviews, demonstrations, and incident response.Required QualificationsRequires a B.S. Degree and 4–8 years of prior relevant experience or a Master's with 2–6 years of prior relevant experience in a related technical discipline. Additional directly related experience may be considered in place of a degree.Must be a U.S. citizen.Must possess and maintain an IAT Level II certification.Must be located in or able to work onsite in either San Diego, California; the Hampton Roads, Virginia area; or Jacksonville, FL.At least three years of hands-on experience developing, operating, or supporting production data pipelines, data integrations, or data warehouses.Demonstrated proficiency with SQL and at least one scripting or programming language, such as Python.Experience with ETL/ELT concepts, relational data structures, data modeling, and schema design.Experience integrating data from multiple source types, including relational databases, APIs, and flat files.Working knowledge of cloud and on-premises infrastructure concepts, authentication, network connectivity, and encryption.Experience diagnosing production data issues, analyzing logs, and resolving performance problems.Ability to work independently and collaboratively in a high-tempo operational environment.Working knowledge of PowerShell, Python, and Ansible, with practical familiarity using AI-enabled tools.Preferred QualificationsBusiness intelligence experience, including development or support of dashboards and reports; experience with Microsoft Power BI is desirable.Microsoft Certified: Azure Administrator Associate (AZ-104) certification.Hands-on experience with Azure data and analytics services, such as Azure Data Factory, Azure SQL, or Synapse Analytics.Familiarity with Security Technical Implementation Guides (STIGs) and the Risk Management Framework (RMF).Experience using automation tools such as Ansible, Jenkins, and Bitbucket.Experience designing or supporting data solutions in federal government or other regulated environments.Experience with modern data-platform concepts like data lakes, dimensional modeling, or streaming data.Experience implementing data cataloging, lineage, and role-based access controls.Relevant technical certifications in Azure, data engineering, database administration, or analytics.Experience with graph databases (e.g., Neo4j) and query languages such as Cypher.Familiarity with knowledge graphs, ontologies, or semantic data models.Experience with entity resolution and reconciling conflicting values across multiple sources.