Data Engineer - Data Operations

Summary

Join Arine, a rapidly growing healthcare technology company, as a Senior Data Engineer and play a pivotal role in building and maintaining our data operations infrastructure. You will architect, build, and maintain scalable data ingestion infrastructure, focusing on the "EL" (Extract-Load) portion of our ELT stack. Collaborate with analytics engineers to ensure seamless data flow into the staging layer for dbt transformations. This role requires expertise in scalable data migration, event-driven pipelines, containerization, and building maintainable toolsets. You will work with large-scale healthcare datasets and contribute to a team committed to improving patient health outcomes. Arine offers a fast-paced environment, a strong team, and the opportunity to make a significant impact on healthcare.

Requirements

• 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
• Ability to pass a background check
• Must live in and be eligible to work in the United States
• An established private work area that ensures information privacy
• A stable high-speed internet connection for remote work

Responsibilities

• 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

Benefits

$165,000-180,000/year