Note: The job is a remote job and is open to candidates in USA. Rightway is on a mission to harmonize healthcare for everyone, everywhere. They are seeking a full-time Data Engineer III to define and deploy mission-critical data infrastructure, primarily focusing on processing large healthcare datasets to generate insights that improve health outcomes.
Responsibilities
- 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
Skills
- 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
- Knowledge in deploying applications using serverless architecture
- Hands-on experience managing AWS services such as Lambda, Glue, and Fargate
- Experience with Master Data Management and data governance
- Familiarity with infrastructure-as-code services such as Terraform or CloudFormation
- Experience using AI tooling to automate data quality checks, generate pipeline scaffolding, or accelerate ETL development
Benefits
- Bonus
- Equity
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