
Posted 10 days ago
Sr. Database Specialist
AI Summary
Designs, maintains, and optimizes enterprise databases and analytical environments, working with Postgres, MongoDB, Tableau, and Power BI to support healthcare data operations.
About this role
Company Introduction: Rain Stella Technologies (RST) (rainstellatech.com) is a next-generation healthcare technology company born from the merger of Rain Technology and Stella Technology. With deep expertise in digital health infrastructure, AI, and voice-powered automation, RST empowers providers across the continuum of care — from outpatient clinics to surgical suites to national HIEs. RST currently works with 17 healthcare systems across five countries, with strong regional momentum and operational scale.
Overview: The Senior Database Specialist is responsible for designing, maintaining, and optimizing enterprise-level databases and analytical environments. This role requires extensive experience with SQL (Postgres), MongoDB, and analytical tools such as Tableau and Power BI. Knowledge of healthcare data standards is preferred. The specialist will collaborate across engineering, product, and analytics teams to ensure accurate, secure, and scalable data operations.
Key Responsibilities
Database Management & Engineering
- Design, implement, and optimize relational database structures in Postgres.
- Develop advanced SQL queries, stored procedures, and performance tuning solutions.
- Manage MongoDB collections, indexing, performance, and document schema strategy.
Analytics & Reporting
- Build and maintain dashboards using Tableau and Power BI.
- Translate business and product requirements into meaningful data visualizations.
- Ensure data reliability, accuracy, and accessibility for reporting needs.
Data Architecture & Integration
- Support database modeling, data warehousing, and architectural decisions.
- Collaborate with engineering teams on ETL/ELT processes and data pipeline optimization.
- Monitor database performance, security, and capacity.
Healthcare Data (Preferred)
- Work with healthcare data formats: HL7 v2, FHIR, CCD/C-CDA.
- Experience with medical coding systems such as ICD-10, SNOMED CT, LOINC, CPT/HCPCS.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, or related field (Master’s preferred but not required).
- 5-7 years of experience in database engineering or data management roles.
- Advanced proficiency in SQL and Postgres administration.
- Strong experience with MongoDB (schema design, indexing, optimization).
- Proven experience with Tableau and/or Power BI dashboard development.
- Solid understanding of data modeling, normalization, and database best practices.
Preferred Qualifications
- Experience in healthcare IT or interoperability environments.
- Knowledge of clinical standards and terminologies.
- Experience with cloud platforms (AWS, GCP) and associated data services.
- Exposure to integration engines (e.g., Mirth Connect).
Key Competencies
- Strong analytical and problem-solving skills.
- Detail-oriented with a focus on data quality and performance.
- Effective communication and documentation abilities.
- Ability to work independently and collaboratively in fast-paced environments.
- Strong ownership mindset with proactive issue resolution.
Skills
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