Database Developer; SQL - Project Lead
Job in
Cayce, Lexington County, South Carolina, 29033, USA
Listed on 2026-07-01
Listing for:
TALENT Software Services
Full Time
position Listed on 2026-07-01
Job specializations:
-
IT/Tech
Data Engineering, Database Administrator, Data Analyst, Data Warehousing
Job Description & How to Apply Below
Location: Cayce
Data Warehouse / ETL Developer Project Support Requirements
- Selected personnel must sign the DPH Confidentiality Agreement and/or Business Associate (BA) Agreement, if applicable.
- All web services must be secure.
- DPH will not accept offers that include an "up-lift" charge.
- Consultant rates must not exceed the maximum rate established under State contract terms.
- Follow Agency IT standards, policies, procedures, and documentation requirements.
- All source code (compiled and uncompiled) developed under this contract becomes the sole property of the South Carolina Department of Public Health (DPH).
- Any source code, data, product, or functionality resulting from this SOW or previously owned/developed by DPH remains the sole property of DPH.
- Contractor-developed modifications and interfaces:
- Cannot be incorporated into any vendor core product.
- Cannot be reused for independent projects.
- Cannot be published or publicized without written approval from DPH.
- DPH retains final approval authority over all programming choices.
- The State will not reimburse additional contractor expenses, including:
- Travel
- Employee benefits
- Insurance
- Room and board
- Other incidental expenses
- Required business information, formulas, data, and validation mechanisms.
- Staff support for application and data-related questions.
- Conference rooms and scheduling assistance for application demonstrations.
- Virtual workstation with required software.
- Database & SQL Development
- 3+ years of experience with:
- MS T-SQL
- Stored Procedures
- Advanced Queries
- Query Optimization
- 3+ years of experience with:
- MS SQL Server 2016+
- 3+ years of experience with:
- ETL & Data Integration
- 3+ years of experience with:
- ETL Process Development
- 1+ year of experience with:
- SQL Server Integration Services (SSIS)
- 3+ years of experience with:
- Reporting & Data Warehousing
- 3+ years of experience with:
- Report Development
- 3+ years of experience with:
- Data Warehousing
- Relational Databases
- 3+ years of experience with:
- Healthcare Data & Messaging
- 1+ year of experience with:
- HL7 versions 2.3.1 – 2.5.1
- ORU Messages
- 1+ year of experience with:
- Data Formats
- 3+ years of experience with:
- XML
- 3+ years of experience with:
- Security & Compliance
- 1+ year of experience with:
- CDC data standards
- HIPAA compliance
- CJIS requirements
- PHI (Protected Health Information)
- PII (Personally Identifiable Information)
- Data classification and security controls
- 1+ year of experience with:
- Ability to manage large data sets (1 TB+).
- Requirements gathering and documentation experience.
- Public Health and Disease Surveillance Systems experience.
- Statistical Analysis System (SAS).
- Knowledge of:
- LOINC
- SNOMED
- Experience with:
- FASTQ files
- Demultiplexing
- Experience with:
- R
- RStudio
- Database Technologies
- Microsoft SQL Server (2016+)
- T-SQL
- SQL Server Management Studio (SSMS)
- ETL & Data Pipelines
- SQL Server Integration Services (SSIS)
- ETL Development
- Data Pipeline Development
- Reporting & Analytics
- Data Warehousing Platforms
- Reporting Tools:
- Power BI (or similar)
- Healthcare Data Standards
- HL7 v2.x (including ORU messages)
- XML
- CSV
- Other structured data formats
- Public Health Systems
- Electronic Disease Surveillance Systems (EDSS)
- Electronic HIV/AIDS Reporting System (eHARS)
- CDC Reporting Systems
- Electronic Case Reporting (eCR)
- Data Exchange Integrations
- Data Transformation & Analytics
- SAS (Legacy Processes)
- Data Transformation Scripting
- Security & Compliance
- HIPAA Compliance
- PHI/PII Data Protection
- CDC Data Standards
- Security Compliance Requirements
- Communication & Stakeholder Management
- Ability to work effectively with:
- Technical peers
- Technical management
- Business users
- User management
- Vendors
- Staff members
- Ability to communicate clearly and effectively in:
- Written form
- Verbal form
- Ability to work effectively with:
- Data Management Expertise
- Strong background in:
- Data integration
- Data staging
- Data quality management
- Data distribution
- Strong background in:
- Interpersonal Skills
- Excellent:
- Written communication skills
- Excellent:
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