Full Stack Developer Jobs in Conway, AR (NOW HIRING)

Job Summary:
Arkana Laboratories is dedicated to improving lives through a next-generation Laboratory Information System. The Data Engineer will design and maintain data schemas, build reliable ETL/ELT pipelines, and collaborate with developers and analysts to ensure clean, well-documented data for various applications.
Responsibilities:
• Design and maintain PostgreSQL schemas (multi-schema architecture) for LIS application modules
• Author and review Prisma migrations
• Develop data contracts defining access patterns and interface expectations between application modules and the data layer
• Participate in design sprints alongside backend developers and bring data layer constraints into architecture decisions early
• Generate and maintain synthetic test datasets for safe development and QA without production PHI exposure
• Design, build, and operate ETL/ELT pipelines ingesting data from legacy systems and external sources
• Own pipeline reliability end-to-end: monitoring, alerting, retry logic, and runbooks the rest of the team can use
• Help close the open ETL tooling decision (in-app code vs. Azure Data Factory vs. hybrid) and implement the chosen approach
• Build FHIR transformation pipelines that produce clean, clinically relevant output for application consumption
• Maintain and evolve the data warehouse to support dashboards, operational reporting, and ad hoc queries
• Partner with analysts to translate reporting requirements into performant, well-documented data models
• Evaluate Snowflake or similar platforms as analytical reporting demands grow
• Own the team's data dictionary and documentation standards
• Implement audit-trail and history-table patterns satisfying both HIPAA compliance and operational reporting needs
• Enforce data access controls and column-level security appropriate for a HIPAA and HITRUST environment
• Serve as the data team's representative in design sprints and help enforce intake and triage processes for development team requests
• Mentor analysts growing into data engineering responsibilities
• Produce documentation that makes your work maintainable by others
Qualifications:
Required:
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field. Equivalent demonstrated experience considered.
• 3-6+ years of hands-on data engineering experience in a production environment, with strong SQL skills including complex queries, query optimization, window functions, and indexing strategies.
• Experience designing relational schemas in PostgreSQL (or equivalent), with a solid grasp of normalization, foreign keys, and constraint design.
• Fluency with Git-based version control and collaborative development workflows including pull requests, code review, and branching.
• Experience building and maintaining ETL/ELT pipelines with clear ownership of reliability, monitoring, and failure recovery.
• Ability to read and reason about application-layer code (TypeScript and Node.js preferred, Python acceptable). You do not need to be a full-stack developer, but you need to understand what the code is doing with the data.
• Demonstrated experience documenting data models, data dictionaries, and integration specifications.
• Comfortable working in a regulated environment with PHI and a clear understanding of HIPAA data handling obligations.
• Strong analytical and troubleshooting skills for complex data issues.
• Clear communication across engineering, product, and analytics partners.
• Ability to work independently while collaborating effectively with cross-functional teams.
• Comfort working in ambiguity and helping the team converge on durable decisions.
Preferred:
• Experience with PostgreSQL specifically: JSONB, multi-schema design, and Prisma or another TypeScript-native ORM.
• Experience with Azure data services (Azure Database for PostgreSQL, Blob Storage, Azure Data Factory, Application Insights).
• Familiarity with FHIR (HL7 R4) data structures and healthcare integration patterns.
• Experience supporting both application dev teams (data contracts, schema migrations) and analytics/BI teams (warehouse models, reporting layers).
• Experience with synthetic data generation strategies for safe development environments.
• Knowledge of data governance frameworks and best practices preferred.
• Experience using AI development tools in compliant environments.
• Healthcare data domain experience is a plus.
Company:
Arkana Laboratories is a provider of esoteric pathologic services. Founded in 2001, the company is headquartered in Little Rock, USA, with a team of 51-200 employees. The company is currently Growth Stage.