Senior Data Engineer: AWS, Snowflake & Airflow (Greenfield)

Harnham; United States; On-site; USD 110,000 - 165,000; Full time

Job summary

Harnham is expanding its data capabilities with a greenfield healthcare data platform. The team designs and builds a modern data architecture, pipelines, and infrastructure to support enterprise-wide decision-making, analytics, and AI adoption.

You will own AWS-based pipelines, data modeling, and scalable infrastructure to integrate clinical, payer, and operational data. Ideal candidates bring 5+ years in data engineering, deep AWS, Airflow, Snowflake, and dbt expertise, and a track record of

Qualifications

• 5+ years of Data Engineering experience.
• Deep expertise in AWS data warehousing, AWS data pipelines, Airflow, Python, and SQL.
• Hands-on experience with Snowflake and dbt in modern cloud data environments, including building, transforming, and optimizing data models to support analytics and reporting workloads.

Responsibilities

• Design, build, and optimize AWS-based data pipelines and data warehouse solutions
• Develop and manage data orchestration workflows using Apache Airflow
• Build scalable data infrastructure supporting analytics, reporting, and business intelligence initiatives
• Establish and maintain AWS development environments and engineering best practices
• Integrate data from multiple internal and external sources, including APIs and enterprise platforms
• Partner with business and technical stakeholders to define data architecture standards
• Support the implementation of a new enterprise data platform in a greenfield environment
• Identify opportunities for automation, performance optimization, and scalability

Skills

Data engineering experience

Tools

AWS data warehousing

AWS data pipelines

Airflow

Python

SQL

Snowflake

dbt

Job description

Harnham is expanding its data capabilities with a greenfield healthcare data platform. The team designs and builds a modern data architecture, pipelines, and infrastructure to support enterprise-wide decision-making, analytics, and AI adoption.

You will own AWS-based pipelines, data modeling, and scalable infrastructure to integrate clinical, payer, and operational data. Ideal candidates bring 5+ years in data engineering, deep AWS, Airflow, Snowflake, and dbt expertise, and a track record of