SQL Database Developer

Note: No SC residency required. Open to Nationwide Candidates that are comfortable working EST Hours. Daily Duties / Responsibilities: The candidate will work closely with members of the Systems Integration, Health Data Visualizations, and Database Administration teams as well as STD / HIV program staff. The candidate should be self-motivated and team-oriented, work under limited supervision, and respond to priority tasks. The candidate must be able to independently research and design processes, create specifications and data flows, develop ETL processes, make stored procedures, advanced queries, and reports, assist with validations, actively engage with the Team and stakeholders, attend meetings, provide guidance, and respond promptly. Specific duties and responsibilities will include but are not limited to the following: Prepare and maintain process documentation, data flows, and diagrams for assigned processes (new and existing). Work with end users to perform gap analysis, gather and document functional requirements, and create necessary processes Assist with project and time management including estimates and status reporting Ability to plan, organize, review, and implement associated project milestones to completion. Process Development, Process Automation, and ETL Solutions SQL stored procedure creation, advanced query design, debugging, and optimization (MS T-SQL) Rewriting of SAS code into SSIS Packages and Power B.I.; SSIS Debugging, Rewriting and optimization of remaining SAS code and queries as needed. Data Pipeline and Reporting Development, Modification, Improvement, and Monitoring Help format and automate data uploads into the Data Warehouse and Disease Surveillance Systems like CDC SAMS / eHARS and the new Electronic Disease Surveillance System (EpiTrax) Parsing of multiple data formats including xml\\, csv, SOAP, HL7 Assist with system, data and database migrations and related changes, testing, and validation Help with eCR solutions including condition authoring, data import and utilization, process automation and troubleshooting, and data review, analysis, and reporting Monitor production processing to ensure proper data flow and response times Help to perform and automate daily maintenance processes Debug, troubleshoot, and optimize new and existing processes. Resolve processing issues. Support related server, database, software upgrades, and new environment configuration Ensure maximum system uptime for critical components to ensure business continuity. Advise the Team on best practice and techniques. Mentor team and staff on advanced topics. Modification / rewrite of existing processes and creation of new processes to be compliant with agency security requirements and following industry best standards

1. 3+ Years of Experience with MS T SQL (Stored Procedures, Advanced Queries, Optimization)
2. 3+ Years of Experience with ETL Process Development
3. 1+ Year of Experience with SQL Server Integration Services (SSIS)
4. 3+ Years of Experience with Report Development
5. 3+ Years of Experience with Data Warehousing & Relational Databases
6. 1+ Year of Experience HL7 v 2.3.1 - 2.5.1 and ORU Messages
7. 3+ Years of Experience with XML
8. 3+ Years of Experience with MS SQL Server 2016+

9. 1+ Year of Experience with security and data classification related to CDC, HIPAA, CJIS, PHI, PII Preferred Skills:

10. Ability to manage large data sets (1 TB+)
11. Requirements Gathering & Documentation
12. Public Health / Disease Surveillance Systems Experience
13. Statistical Analysis System (SAS)
14. LOINC / SNOMED
15. FASTQ FILES AND DEMULTIPLEXING
16. R & RStudio Environment / Tools Microsoft SQL Server (2016+), T SQL, SSMS SQL Server Integration Services (SSIS) and ETL/Data Pipeline development Data Warehousing environments and reporting tools (e.g., Power BI) HL7 v2.x (including ORU), XML, CSV, and other structured data formats Healthcare/public health data systems (e.g., EDSS, eHARS, CDC reporting systems) Electronic Case Reporting (eCR) and data exchange integrations SAS (legacy processes) and scripting for data transformation HIPAA, PHI/PII, and CDC data standards and security compliance