Position Summary
The Senior Data Analyst / Data Computer Systems Engineer will provide expert-level data development and data systems engineering services for the National Park Service enterprise data management systems. This position is responsible for developing and maintaining complex data processing software, managing data pipelines, and leading data migration activities across both alphanumeric and geospatial data systems. The role requires advanced technical expertise in SQL, Python programming, and enterprise-level spatial data management to support mission-critical data infrastructure and business requirements.
Duties May Include :
- Design and develop complex data models, database schemas, and data pipelines for enterprise systems
- Lead data migration planning and implementation from legacy to modern data structures
- Write advanced SQL, T-SQL, and PL / pgSQL procedural code for Microsoft SQL Server and PostgreSQL databases
- Architect and implement enterprise-level spatial data management solutions within RDBMS and geodatabases
- Build advanced coding and infrastructure for optimal ETL processes using Cloud and SQL technologies
- Conduct complex data quality analysis and implement comprehensive business and quality rules
- Design and implement quality management processes for large-scale data migration activities
- Lead efforts in re-designing infrastructure for greater scalability and optimizing data delivery
- Automate manual processes and implement internal process improvements
- Provide technical leadership for data-related issues and infrastructure needs
- Collaborate with stakeholders to identify process improvement opportunities and propose system modifications
- Structure and optimize both small and large data sets for efficient retrieval and analysis
- Define and maintain complex domain definition requirements and permissible values
- Lead development of comprehensive metadata records for data management systems and standards
- Mentor junior team members and provide technical guidance on complex data engineering challenges
Required Qualifications :
Bachelor's degree in Computer Science, Data Science, Engineering, or related technical fieldMinimum 5 years of experience in data analysis and engineering activities including data schema developmentExpert-level proficiency in SQL, Python programming, and database procedural languagesExtensive experience with data migration activities and ETL / ELT processesAdvanced knowledge of Microsoft SQL Server and PostgreSQL database systemsStrong experience with enterprise spatial data management and geodatabasesProven ability to design and implement scalable data architecturesExperience with cloud platforms (Microsoft Azure or AWS) for data processingActive NAC or NACI security clearance eligibilityDesired Qualifications :
Advanced degree in Computer Science, Data Engineering, or related fieldCertification in cloud platforms (Azure Data Engineer, AWS Data Analytics)Experience with ESRI Enterprise Geodatabases and ArcGIS platformsKnowledge of modern data stack technologies and data lake architecturesExperience with Azure DevOps Server and Github for code managementUnderstanding of data governance and metadata management principlesExperience with API development and microservices architecturesKnowledge of machine learning and advanced analytics techniquesBenefits
At Trinity Global Consulting (TGC), we value our employees and provide a comprehensive benefits package that includes :
Medical, Dental & Vision Coverage – Full coverage for employees and family through CareFirst and VSP.Paid Time Off – Minimum of 2 weeks PTO in accordance with contract requirements.Paid Holidays 11 federal holidays observed annually.Disability & Life Insurance – Short-term / long-term disability, life insurance, and AD&D coverage included.401(k) Retirement Plan – Competitive plan managed through AmeritasProfessional Training – Formal training provided as required, with additional learning opportunities based on role.J-18808-Ljbffr