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Staff Data Engineer

3 months ago
United States
Full-time
Lead
Data Engineer
Software Development
AWS dbt Docker HIPAA Kubernetes LLM Microservices Python
Apply Now
Arine

Arine

Arine is a comprehensive medication management platform that empowers health plans and providers to improve patient outcomes at scale. By optimizing medication therapy and treatment plans, Arine helps reduce healthcare costs, increase member satisfacti...

Insurance
11-50
$47M raised
View All Jobs 6

Description

  • Lead system design reviews and act as the team architect for data ingestion and infrastructure decisions.
  • Architect and implement scalable data ingestion pipelines for large-scale healthcare datasets, including incremental ingestion strategies.
  • Develop reusable, configuration-driven, containerized pipeline components and toolsets for use across engineering teams.
  • Collaborate with cross-functional teams to deliver ETL components that meet data requirements.
  • Design and maintain dbt-based data transformation pipelines, including macros, incremental models, and dbt tests.
  • Build monitoring and alerting systems for data ingestion processes and pipeline health.
  • Apply test-driven development, modular design, and other software engineering best practices to data infrastructure.
  • Refactor existing ingestion processes to improve scalability and operational efficiency.
  • Provide technical guidance and mentorship to junior engineers and promote coding standards and best practices.
  • Champion AI-assisted development by establishing workflows for using AI coding tools and automating repetitive engineering work with LLMs.

Requirements

  • 10+ years of data engineering experience, with a focus on large-scale data ingestion and infrastructure.
  • Strong experience building automated, production-grade ETL processes using Python and DBT SQL.
  • Strong understanding of ETL/ELT frameworks and distributed data processing.
  • Hands-on experience directing AI coding tools and taking ownership of AI-generated code.
  • Interest in integrating LLMs into engineering workflows beyond development assistance, such as data quality checks or anomaly detection.
  • Experience handling varied file types and healthcare standards including HL7, 834, 837, and NCPDP.
  • Experience integrating data from diverse source systems, including EHR and claims systems, via file-based and API integrations.
  • Comfort working with large-scale datasets of 10GB+ and implementing incremental processing and change data capture (CDC).
  • Extensive experience designing scalable data architectures in AWS.
  • Hands-on familiarity with Docker and Kubernetes, plus the ability to build configuration-driven systems without code changes.
  • Strong software engineering fundamentals, including test-driven development, loose coupling, single responsibility, and modular design.
  • Strong written and verbal communication skills for partnering with technical and non-technical stakeholders.
  • Familiarity with healthcare data and HIPAA environments is a plus.
  • Ability to pass a background check.
  • Must live in and be eligible to work in the United States.
  • Ability to work remotely with a private workspace and stable high-speed internet, and to attend on-site meetings multiple times per year.

Benefits

  • Salary range of $170,000 to $185,000 per year.
  • Bonus and equity are part of the overall compensation package.
  • Remote role with occasional on-site meetings a few times per year.
  • Opportunity for strong learning and growth alongside experienced clinicians, engineers, software architects, and digital health entrepreneurs.
  • Chance to contribute to a rapidly growing company shaping the future of healthcare technology.
  • Work on a mission-driven platform with meaningful impact on patient outcomes and healthcare costs.

Interested in this position?

Apply directly on the company website

Apply Now

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