Job Opportunities API

About the Role We are seeking a full-time Data Engineer III to define and deploy mission-critical data infrastructure. The primary responsibility for this role is defining the processing of large healthcare datasets that enable insights improving the health of more than 3 million members. You will use deep expertise in SQL and Python to build and maintain production-grade data pipelines within the AWS ecosystem while leveraging AI tooling to accelerate development and improve platform reliability and efficiency. Familiarity with medical data is beneficial but not required. What You'll Do 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 for code generation, query optimization, 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 Extract, Load, and Transform (ELT) processes using DBT. Design optimized database schemas in PostgreSQL and Amazon Redshift to ensure data integrity and performance. Identify opportunities for AI-driven automation to improve throughput and reduce manual effort. Who You Are Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience. 5+ years of experience as a data engineer. Expert-level SQL skills including query optimization and schema design. Strong Python proficiency with production-grade coding experience. Experience working with AWS systems in production environments. Experience scaling data infrastructure for high-volume datasets. Ability to integrate AI tools such as GitHub Copilot and LLM-assisted development into engineering workflows. Extra Credit Experience with medical and pharmacy claims data. Knowledge of serverless architecture deployments. Hands-on experience with AWS Lambda, Glue, and Fargate. Experience with Master Data Management and data governance. Familiarity with Terraform or CloudFormation. Experience using AI tooling to automate data quality checks and ETL development. Compensation $125,000 - $150,000 annually, in addition to bonus and equity. Compensation is based on geographic location, experience, and qualifications. Cybersecurity Awareness Notice Candidates will only be contacted from the company email domain. Bank details or deposits will never be requested as a condition of employment.