Database Engineer (EPIC) - Remote

Longitude Rx•Headquarters, TX

20h•Remote

About The Position

Joining Longitude Rx means stepping into an exciting chapter with an early-stage company that’s boldly reshaping the future of specialty pharmacy. We are building innovative solutions that empower health systems, reduce barriers to care, and improve the lives of patients. As part of our mission-driven team, you’ll have the opportunity to make a direct impact, helping reimagine how specialty pharmacy serves providers and patients. Remote Location Currently only hiring in the following states: Arizona, Florida, Georgia, Massachusetts, Michigan, Nevada, Ohio, Oklahoma, Pennsylvania, Texas, Utah. Position Summary The Database Engineer at Longitude Rx is responsible for designing, building, and maintaining the data infrastructure that powers the company’s specialty-pharmacy analytics, operational workflows, and technology-enabled solutions. This role ensures that mission-critical data pipelines, databases, and APIs operate reliably, securely, and efficiently across all internal and partner-facing systems. The Database Engineer will work closely with analytics, product, operations, and IT teams to develop scalable data architectures that support growth, automation, and high-quality insights. In Longitude Rx’s fast-paced, evolving environment, this role requires a strong combination of technical engineering expertise, disciplined execution, and an understanding of healthcare data structures. The Database Engineer will play a central role in maintaining data quality, strengthening system security, improving performance, and enabling the organization to leverage data as a strategic asset.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field preferred.
Minimum 2–4 years of experience in data engineering, database development, or ETL pipeline design.
EPIC experience required.
Healthcare, pharmacy, or claims data experience preferred.
Advanced SQL proficiency, including performance tuning and complex query optimization.
Experience with ETL/ELT tools and orchestration frameworks (e.g., SSIS, dbt, Azure Data Factory).
Experience building and maintaining RESTful APIs or data-service layers.
Strong understanding of data governance, security practices, and auditability.
Familiarity with healthcare or pharmacy data structures.
Ability to work in a fast-paced, collaborative environment with multiple stakeholders.

Nice To Haves

Exposure to SOC 2, HITRUST, or similar security/compliance frameworks.
Experience with cloud data ecosystems, particularly Snowflake and AWS, to support scalable data pipelines and modern data-architecture design.
Experience with secure coding, encryption, OAuth/RBAC, and logging/monitoring tools.
Cloud platform experience (Azure or AWS).

Responsibilities

Develop, optimize, and maintain SQL databases, ETL/ELT pipelines, and data-ingestion processes across multiple sources.
Build and manage APIs and data services to enable secure and standardized data exchange between internal systems and external partners.
Design scalable data models, schemas, and workflows to support analytics, operational automation, and future system enhancements.
Implement data validation, logging, monitoring, and testing frameworks to ensure system reliability and accuracy.
Perform root-cause analysis for data discrepancies, breakages, or performance issues.
Implement durable solutions that prevent recurrence and improve long-term system stability.
Maintain documentation and standards that support reproducibility, transparency, and operational readiness.
Apply secure coding practices, access-control principles, and auditability measures across data systems.
Support SOC 2, HIPAA, and other security assessment requirements by maintaining compliant data-engineering practices.
Collaborate with security teams to ensure adherence to encryption, identity management, and secure data-transfer protocols.
Partner with analysts, architects, operations, and product teams to translate business needs into scalable engineering solutions.
Support new initiatives including automation, system integrations, and technology modernization efforts.