Senior Solutions Engineer, Healthcare Data & AI (Hybrid)

Medasource; Boston (MA); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Medasource seeks a Senior Technical Solutions Engineer for a hybrid role in Boston, combining hands-on coding with data ingestion and platform customization. You will develop ingestion pipelines, implement APIs, and troubleshoot complex data problems to support AI-enabled healthcare solutions.

The role requires strong OO programming, SQL, ETL/ELT, and cloud experience, with collaboration across Product, Engineering, Clinical Informatics, Data Science, and customers.

Qualifications

• 6+ years of relevant technical experience.
• Strong, current hands-on coding ability.
• Experience with Go, Python, Java, C++, or comparable language.
• Object-oriented programming fundamentals.
• SQL experience.
• ETL/ELT pipeline development and debugging.
• Data transformation and database workflows.
• REST APIs / API integrations.
• Git / GitHub usage and pull requests.
• Troubleshooting / root-cause analysis.
• Ability to configure/customize software platforms.
• Independent technical ownership.
• Strong analytical/problem-solving skills.
• Ability to collaborate across Product, Engineering, Clinical Informatics, Data Science, Commercial, and customer stakeholders.

Responsibilities

• Hands-on data ingestion and pipeline development.
• Configure and customize software platforms; implement APIs and data integrations.
• Troubleshoot issues and perform root-cause analysis; own technical implementations.
• Collaborate across Product, Engineering, Clinical Informatics, Data Science, Commercial, and customers.

Skills

Hands-on coding

Go/Python/Java/C++

SQL

ETL/ELT pipelines

APIs / integrations

Git / GitHub

Code reviews

Troubleshooting

Data ingestion

Data transformation

Cloud environments

Independent ownership

Collaboration across teams

Job description

Medasource seeks a Senior Technical Solutions Engineer for a hybrid role in Boston, combining hands-on coding with data ingestion and platform customization. You will develop ingestion pipelines, implement APIs, and troubleshoot complex data problems to support AI-enabled healthcare solutions.

The role requires strong OO programming, SQL, ETL/ELT, and cloud experience, with collaboration across Product, Engineering, Clinical Informatics, Data Science, and customers.