This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer III based in the United States.
This role offers the opportunity to design and scale critical data infrastructure that supports healthcare insights and better outcomes for millions of members.
You will build and maintain production-grade data pipelines while working with large, complex datasets and modern cloud technologies.
The position combines advanced SQL and Python expertise with data architecture, automation, and AI-assisted engineering practices.
You will play a key role in improving data reliability, performance, and accessibility across a growing technology platform.
As a senior data engineering contributor, you will solve complex technical challenges and influence the evolution of data systems.
The role encourages innovation through automation, modern cloud solutions, and the practical use of AI tools.
You will have the opportunity to create meaningful impact by transforming healthcare data into actionable insights.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer III based in the United States.
This role offers the opportunity to design and scale critical data infrastructure that supports healthcare insights and better outcomes for millions of members.
You will build and maintain production-grade data pipelines while working with large, complex datasets and modern cloud technologies.
The position combines advanced SQL and Python expertise with data architecture, automation, and AI-assisted engineering practices.
You will play a key role in improving data reliability, performance, and accessibility across a growing technology platform.
As a senior data engineering contributor, you will solve complex technical challenges and influence the evolution of data systems.
The role encourages innovation through automation, modern cloud solutions, and the practical use of AI tools.
You will have the opportunity to create meaningful impact by transforming healthcare data into actionable insights.
Accountabilities
- Develop production-quality Python and SQL solutions focused on data transformation, pipeline logic, and analytical query optimization.
- Design, build, and maintain large-scale data pipelines to process complex healthcare datasets efficiently.
- Leverage AI-powered tools and large language models to improve engineering workflows, accelerate development, automate testing, and enhance documentation.
- Build and manage scalable data processing solutions using AWS services such as Lambda, Glue, and Fargate.
- Develop and maintain data workflows using Apache Airflow to ensure reliable and efficient pipeline execution.
- Manage and optimize Extract, Load, and Transform (ELT) processes using DBT.
- Design efficient database schemas and data models using PostgreSQL and Amazon Redshift.
- Improve data platform reliability, performance, and scalability by identifying opportunities for automation and optimization.
- Apply AI-driven approaches to repetitive or high-volume data engineering tasks to increase efficiency and reduce manual effort.
- Contribute to data quality, governance, and infrastructure improvements across the platform.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
- 5+ years of industry experience working as a Data Engineer.
- Expert-level SQL skills, including complex query development, optimization, schema design, and experience handling large-scale datasets.
- Strong Python programming skills with experience developing and maintaining production-grade applications and data solutions.
- Hands-on experience working with AWS services and cloud-based data infrastructure in production environments.
- Proven experience designing and scaling data platforms capable of processing high volumes of information.
- Experience incorporating AI-assisted development tools, such as coding assistants or large language model-based solutions, into engineering workflows.
- Strong understanding of data pipeline architecture, ETL/ELT processes, and data engineering best practices.
- Ability to troubleshoot complex technical challenges and improve system performance.
- Experience working with healthcare, medical, or pharmacy claims data.
- Knowledge of serverless application architectures.
- Hands-on experience with AWS Lambda, Glue, and Fargate.
- Experience with Master Data Management and data governance practices.
- Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.
- Experience applying AI tools to automate data quality checks, accelerate pipeline development, or improve ETL processes.
- Remote opportunity available across the United States.
- Competitive annual compensation range of $125,000–$150,000 USD, plus bonus and equity opportunities.
- Compensation based on experience, qualifications, and geographic location.
- Opportunity to work on impactful healthcare technology solutions that improve access, efficiency, and outcomes.
- Collaborative environment focused on innovation, ownership, and continuous improvement.
- Opportunity to leverage modern AI tools and cloud technologies in daily engineering workflows.
- Inclusive culture that values diverse perspectives, teamwork, and professional growth.
- Chance to contribute to a mission-driven organization transforming the healthcare experience.
As a Data Engineer III, you will be responsible for designing, developing, and maintaining scalable data infrastructure that enables reliable analytics and healthcare-driven solutions.
Requirements
The ideal candidate is an experienced data engineer with strong technical expertise in SQL, Python, cloud infrastructure, and scalable data systems.
Nice-to-have experience: