Data Engineer

Summary

Join Arine, a rapidly growing healthcare technology company, as a Data Engineer and contribute to building our data platform. You will own end-to-end data pipelines, impacting the infrastructure and delivery of our core enterprise data offerings. This fast-paced role involves working with a diverse team of engineers to optimize processes for ingesting large healthcare datasets. You will leverage your expertise in Python, Snowflake, SQL, and AWS services to build and maintain data pipelines. The position is initially temporary-to-hire, offering full benefits from day one. Arine is committed to improving healthcare through data-driven solutions and offers a dynamic work environment with significant growth opportunities.

Requirements

• 4+ years of professional experience working with data
• Experience creating an automated ETL process using Python, Snowflake, and SQL
• Experience with data processing, validation, cleaning, and debugging data sets
• Experience with building production grade ETL pipelines
• A demonstrable and deep understanding of healthcare / healthcare claims data
• Experience with AWS frameworks (i.e. S3, DynamoDB, Batch, Step Functions)
• Experience with processing large data sets (over 1GB)
• Excellent verbal and written communication skills
• Ability to pass a background check
• Must live in and be eligible to work in the United States

Responsibilities

• Write production level Python and Snowflake SQL for ETL pipelines
• Write and integrate data unit tests as part of the data pipelines' development and deployment
• Use AWS services and technologies for application deployments to data APIs

Preferred Qualifications

• An established private work area that ensures information privacy
• A stable high-speed internet connection for remote work

Benefits

• Full benefits starting from day one (during the temporary period)
• Possibility of extension or conversion to a permanent role based on performance and business needs
• Hourly pay rate: $45-60/hour