Arkana Laboratories

DataEngineer

Little Rock, Arkansas, United States
The Brief

“Data Engineer at Arkana Laboratories. Skills: Data Engineering, ETL/ELT, PostgreSQL, Cloud-native platform. Design and maintain PostgreSQL schemas. Author and review Prisma migrations”

Industry & Context.

Problems you'll solve

analytical and troubleshooting skills for complex data issues

Eligibility Requirements

applicants must live within 1 hour drive of the main office in Little Rock

What They're Looking For.

Must Have

3-6+ years of hands-on data engineering experience in a production environment, 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), 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

Nice to Have

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 analyticsI teams (warehouse models, reporting layers), Experience with synthetic data generation strategies for safe development environments, Knowledge of data governance frameworks and best practices, Experience using AI development tools in compliant environments, Healthcare data domain experience

What You'll Do.

Design and maintain PostgreSQL schemas

Author and review Prisma migrations

Develop data contracts

Participate in design sprints

Generate and maintain synthetic test datasets

Build and operate ETL/ELT pipelines

Own pipeline reliability

Close ETL tooling decision

Build FHIR transformation pipelines

Maintain and evolve data warehouse

Partner with analysts

Implement audit-trail and history-table patterns

Enforce data access controls

How You'll Work.

Team & Collaboration

Collaborates directly with backend engineers, product managers, and analysts; Serve as the data team's representative in design sprints; Help enforce intake and triage processes; Mentor analysts growing into data engineering responsibilities; Collaborating effectively with cross-functional teams

Communication Scope

Clear communication across engineering, product, and analytics partners

Free ATS check

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