Staff Data Engineer, Arine
Data Operations
$165-180k
More information about location
Comprehensive medication management
Posted today
Comprehensive medication management
201-500 employees
Posted today
$165-180k
More information about location
201-500 employees
Company mission
To ensure that every individual receives the safest, most effective and most appropriate treatment for their unique and evolving healthcare needs.
Role
Who you are
- This position requires expertise in scalable, incremental data migration from sources like RDS and DynamoDB into Snowflake, using tools like Kinesis, Airbyte, or other open-source solutions
- You must be comfortable with containerization and building maintainable, configuration-driven toolsets that diverse engineering profiles can utilize effectively
- 6+ years of professional experience in data engineering with focus on large-scale data ingestion and infrastructure
- Strong experience with scalable data ingestion tools such as Kinesis, Airbyte, Kafka, or similar open-source solutions
- Proven experience building event-driven ETL/ELT systems that move large datasets from operational databases (RDS, DynamoDB) to data warehouses (Snowflake)
- Deep understanding of software engineering principles including test-driven development, loose coupling, single responsibility, and modular design
- Experience with containerization technologies (Docker, Kubernetes) and building configuration-driven, maintainable systems
- Understanding of medallion/layered data architecture patterns and experience supporting analytics engineering workflows
- Experience with incremental data processing and change data capture (CDC) methodologies
- Hands-on experience with cloud data infrastructure, particularly AWS services (S3, Kinesis, Lambda, Step Functions, RDS, DynamoDB)
- Proven ability to build tools and systems that can be operated by diverse engineering profiles through configuration rather than code changes
- Experience working with large healthcare datasets and understanding of data privacy and compliance requirements
- Demonstrated ability to refactor and improve existing data infrastructure for better scalability and operational efficiency
- Strong collaboration skills working with analytics engineers, data scientists, and ML engineers
- Excellent verbal and written communication skills with ability to explain technical infrastructure concepts to diverse audiences
- Passion for building robust, maintainable, and operationally excellent data systems
- An established private work area that ensures information privacy
- A stable high-speed internet connection for remote work
- Ability to pass a background check
What the job involves
- This position offers a fast-paced environment with a strong team of diverse engineers that are central in building Arine's data operations infrastructure
- You will have the opportunity to have a direct impact on the scalable ingestion and operational architecture that supports our internal data platform
- Working alongside our analytics engineers who focus on dbt transformations, you will own the critical "EL" (Extract-Load) infrastructure that feeds our medallion architecture, ensuring raw data flows seamlessly from our platform sources into our staging layer where analytics engineers can build robust dbt models for our data science, machine learning/AI, and reporting teams
- The Senior Data Engineer will be responsible for architecting, building, and maintaining scalable data ingestion infrastructure and operational systems that support our medallion architecture (staging → intermediate → marts)
- This role focuses primarily on the "EL" (Extract-Load) portion of our ELT stack, working closely with analytics engineers who own the dbt transformation layer
- You will be responsible for building robust, configuration-driven systems and event-driven processes that scale effectively to handle large enterprise datasets
- Architecting and implementing scalable data ingestion infrastructure from platform sources (RDS, DynamoDB) into Snowflake
- Building event-driven data pipelines using tools like Kinesis, Airbyte, or other open-source ingestion frameworks that scale effectively
- Designing systems that support our medallion architecture and enable smooth data flow into the staging layer
- Creating configuration-driven, containerized toolsets that can be easily used and maintained by diverse engineering profiles
- Collaborating with analytics engineers to ensure smooth data flow into the staging layer for dbt transformations
- Implementing incremental data migration strategies for large-scale healthcare datasets
- Building monitoring and alerting systems for data ingestion processes and pipeline health
- Applying software engineering best practices including test-driven development and modular design to data infrastructure
- Refactoring and rebuilding existing data ingestion processes to improve scalability and operational efficiency
- Working with containerization technologies (Docker, Kubernetes) to create portable and maintainable data solutions
- Supporting the migration to our staging → intermediate → marts medallion structure
- Mentoring team members on data operations best practices and infrastructure design patterns
Our take
Medication mismanagement costs the healthcare industry a huge amount of money every year, and what's more, it has a significant impact on patient outcomes. Arine solves this problem with its comprehensive medication management solutions.
Arine was founded by an experienced team of health experts and senior developers, whose joint expertise has shaped the platform considerably. Arine improves ROI for health plan providers, while improving patient satisfaction and reducing readmission rates. Confidence in Arine's tech is riding high in the industry, with the company raising an impressive amount of funding since its launch.
The health plan industry is changing rapidly, with many startups looking to disrupt outdated processes. However, Arine's considerable impact, financial backing and naming on the Inc 5000's 2024 list of fastest-growing private companies is a testament to its continued scalability.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Jun 2025
$30m
SERIES C
Aug 2022
$18.5m
SERIES B
Total funding: $59.5m
Company benefits
- Medical, dental & vision Insurance
- Flexible vacation
- Arine's 401k or Roth 401k benefit
- Remote
Company HQ
Financial District, San Francisco, CA
Leadership
Yoona Kim
(Co-Founder & CEO)Was Associate Director of Health Economics & Outcomes Research at Gilead Sciences. Also served as Head of Clinical Modeling & Analytics at Proteus Digital Health.
Penjit Moorhead
(Co-Founder & CTO)Worked as a Senior Developer Analyst at Lehman Brothers, and was a Senior Software Developer at Stanford Linear Accelerator Center. Then joined Proteus Digital Health as a Data Scientist.
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