Data Engineer III

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $125k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Rightway

WebsiteLinkedInAll Job Openings

201 - 500 employees

⚕️ Healthcare Insurance

☁️ SaaS

🤝 B2B

💰 $100M Series C on 2021-03

Healthcare Insurance • SaaS • B2B

Rightway is a healthcare company focused on providing care navigation and pharmacy benefits management solutions. It specializes in helping employers and health systems lower healthcare costs and improve outcomes through personalized, proactive clinical support and transparent pharmacy benefits management. Rightway offers a human-first approach, providing real-time, one-on-one support to members to help them make better healthcare decisions and navigate the complexities of healthcare systems. The company aims to reduce healthcare costs while improving employee satisfaction with healthcare services.

📋 Description

• Write production-level Python and SQL code, with a strong emphasis on complex SQL for data transformation, pipeline logic, and analytical query optimization. • Leverage AI tools and large language models to augment engineering workflows — from code generation and query optimization to automated testing, documentation, and process improvement. • Utilize AWS services such as Lambda, Glue, and Fargate for scalable data operations. • Build and maintain large-scale data pipelines using Apache Airflow. • Oversee the maintenance of Extract, Load, and Transform (ELT) processes using DBT. • Design optimized database schemas in PostgreSQL and Amazon Redshift to ensure data integrity and high performance. • Identify opportunities to apply AI-driven automation to repetitive or high-volume data engineering tasks, reducing manual effort and improving throughput.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. • 5+ years of industry experience as a data engineer. • Expert-level SQL skills, including query optimization, schema design, and working with large-scale datasets in production environments. • Strong Python proficiency with experience writing and maintaining production-grade code. • Skilled in working with AWS systems in a production environment. • Experienced in scaling data infrastructure to handle high volumes of data. • Demonstrated ability to incorporate AI tools (e.g. GitHub Copilot, LLM-assisted development) into an engineering workflow to improve speed and quality. • Experience working with medical and pharmacy claims data (extra credit).

🏖️ Benefits

• Compensation offered will be determined by geographic location, experience, and qualifications.