Work Where Balance Meets Purpose – Competitive Pay & Excellent Benefits!
Join Genesis Healthcare and be the driving force behind smooth, patient-focused operations.
Now Hiring: Data Engineer
Location: Genesis Healthcare, Inc (Columbia, SC- Onsite)
Schedule: Monday – Friday, Day Shift (8 hours)
No Weekends – Enjoy Work-Life Balance!
Make a Real Difference in Community Healthcare
Are you looking for a meaningful role where you can truly make an impact? At Genesis Healthcare, Inc., we’re not just another healthcare provider—we’re a nonprofit, community-focused FQHC dedicated to improving lives across the Pee Dee and Low Country regions of South Carolina.
Why Choose Genesis?
Generous Paid Time Off-Holidays, sick leave, CME hours
Life Insurance & Employee Assistance Program– Prioritizing your well-being
401(k) Match, Vision, and More
Ready to take the next step in your career? Apply today and be part of something bigger!
POSITION SUMMARY
The Data Engineer will work closely with the Business Intelligence Officer and other members of the Business Intelligence (BI) team to design, develop, and maintain robust data pipelines to ensure high-quality and efficient data solutions that meet business needs. The Data Engineer will assist in creating queries, stored procedures, and views, and performing other tasks in our SQL environment.
PRIMARY ACCOUNTABILITIES
1. Design, build, and maintain data pipelines for analytics, reporting, and machine learning.
2. Develop, implement, and optimize data automation and ETL (Extract, Transform, Load) processes.
3. Maintain and optimize databases, data warehouses, and other data storage solutions.
4. Utilize Microsoft Azure to deploy data pipelines and processing jobs.
5. Monitor and troubleshoot data pipeline issues to ensure reliable data flow.
6. Assist in designing, developing, and maintaining AI models.
7. Continuously evaluate and improve data engineering processes and tools for better performance and efficiency.
8. Develop and implement queries, views, tables, stored procedures, and other SQL-related tasks for reporting needs.
9. Collaborate with business stakeholders to design, implement, and maintain BI models.
10. Utilize and manage APIs for connecting to third-party software for data processing, data management, and data extraction.
Operational Excellence
1. Ensure and uphold the confidentiality requirements of all patient records, and manage all daily tasks and activities consistent with HIPAA, state and federal laws and regulations, as well as the clinic’s policies and regulations regarding confidentiality and security.
2. Assures that all payments issued are appropriate and documented as ordered and received
Relationships
3. Develop and ensure effective, positive relationships within and among the clinic staff, as well as with patients, vendors, contractors, and related resources.
Professionalism
4. Ensure all actions, job performance, personal conduct and communications represent the organization in a highly professional manner at all times.
5. Uphold and ensure compliance with and attention to all corporate policies and procedures, as well as the mission and values of the organization.
PRIMARY TASKS & DUTIES
- Develop, implement, and maintain data pipelines for BI reporting across the business
- Utilize SSMS to develop queries, tables, views, and stored procedures
- Automate recurring data processes and improve data accessibility across the organization
- Creating, managing, and troubleshooting APIs for connecting to third-party software for data processing and data extraction
ESSENTIAL FUNCTIONS/KEY COMPETENCIES
- 1-5 years (preferred) of experience with Microsoft Azure, SharePoint, and Power Platform
- 1-5 years (preferred) of experience with SQL Server Management Studio (SSMS), T-SQL query writing, and database development
- 1-5 years (preferred) of experience with Python and PowerShell
- 1-5 years (preferred) of experience with developing and utilizing APIs
- Advanced analytical and problem-solving skills
- Strong oral and written communication skills
- Knowledge of basic computer hardware and Windows OS
POSITION REQUIREMENTS
Education
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field — or equivalent professional experience.
Professional
Working knowledge of Python and C#.
Experience with relational database design, ETL/ELT patterns, and data integration.
Microsoft Azure certifications, particularly DP-203 (Azure Data Engineer Associate) or AZ-204 (Azure Developer Associate).
Experience with cloud data platforms, particularly Microsoft Azure (Azure SQL, Azure Data Factory, Azure Synapse, Azure DevOps).
Familiarity with healthcare data environments, particularly Federally Qualified Health Centers (FQHCs), the 340B Drug Pricing Program, or pharmacy systems (EnterpriseRx, McKesson).
Familiarity with AI/ML concepts, model integration, and data preparation for machine learning workflows.
Experience with version control (Git) and CI/CD practices.
Experience Level
Entry Level – Mid Level (0–7 years of relevant experience).
The role requires enough experience to operate with significant autonomy on technical work — designing pipelines, optimizing SQL, integrating new data sources, and supporting AI/ML initiatives without close supervision. The existing team does not have the capacity to mentor a junior engineer through foundational technical skills.
The proposed compensation range of $75,000–$139,000 accommodates a wide band of entry-level to mid-level candidates.
The role would suit:
An experienced data engineer looking to apply their skills in healthcare.
A healthcare BI/SQL developer transitioning into a broader data engineering role.
A recent graduate from a related field with foundational engineering knowledge.
Reporting Structure
Individual contributor. Reports directly to the Business Intelligence Officer for personnel matters, including time off, performance management, and career development. Reports to the Lead Data Engineer for technical escalation, architectural decisions, and project-level coordination.
This role does not currently supervise other staff. Responsibilities are individual contributor in nature: the Data Engineer owns the technical work product (pipelines, applications, integrations, automations) rather than managing direct reports.
Physical/Environmental
Ability to interact with a computer screen for up to six hours at a time (visual acuity required).
Must have manual dexterity for use of keyboard. Ability to remain stationary for periods of up to four hours. Ability to communicate via phone, mail, and in person to resolve disputes, solve problems, etc.
Capacity to function in a sometimes stressful, multi-tasking environment
