Data Engineer
Arkana Laboratories
- Little Rock, Arkansas, United States
- Little Rock, Arkansas, United States
À propos
Position Summary Arkana Laboratories is building a next‑generation Laboratory Information System: a modular, cloud‑native platform that will power every facet of our renal pathology workflow. The Data Engineer sits at the intersection of application development and analytics and owns the data layer that both groups depend on. Day to day, that means designing and maintaining schemas, building reliable ETL/ELT pipelines, partnering with developers on data contracts, and ensuring analysts have clean, well‑documented data to work from. This role works inside a small, high‑ownership data team and collaborates directly with backend engineers, product managers, and analysts. The work spans both halves of the operational/analytical boundary, and the engineer is expected to be fluent on both sides.
Key Responsibilities Application and Schema Work
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
ETL and Pipeline Development
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
Analytics and Reporting Support
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
Data Quality and Governance
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
Collaboration and Mentorship
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 And Skills Education
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field. Equivalent demonstrated experience considered.
Experience
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.
Technical Skills
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
Strongly 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
Soft Skills
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
Other Qualifications
Knowledge of data governance frameworks and best practices preferred
Experience using AI development tools in compliant environments
Healthcare data domain experience is a plus
DIFFERENTIATING BACKGROUND This role is intentionally positioned at the boundary between application engineering and analytics. The right candidate is a data engineer who is comfortable participating in application architecture conversations, can hold their own in a design sprint with backend developers, and is equally credible when partnering with analysts on a reporting model. You will own the data layer on both sides of that boundary. The strongest candidates have done both kinds of work in their career and have opinions about how the two should fit together.
This is an onsite position at our main office in Little Rock, Arkansas. Applicants must live within 1 hour drive of the main office in Little Rock.
What we offer
Competitive salary
Generous paid time off and Paid Holidays
Minimal cost health insurance for you and affordable options for your family
401(k) with immediate eligibility and match
Company‑paid life insurance
Company‑paid long term disability coverage
Affordable vision and dental plans
Flexible Spending Account or Health Savings Account availability
Wellness plan and complimentary yoga classes
Monthly in‑office massages and employer‑sponsored lunches
Please see Careers for further information.
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Compétences linguistiques
- English
Avis aux utilisateurs
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