Remote Data Engineer II — Healthcare Analytics

Ensemble Health Partners; United States; Remote; USD 84,000 - 126,000; Full time

Benefits offered by this job

Remote-friendly

Travel to client sites

Job summary

Ensemble Health Partners is seeking a Data Engineer II to design, build, and maintain reliable data pipelines and integrations that support analytics and operational reporting. You will work hands-on within established patterns, collaborating with senior engineers and stakeholders to deliver scalable, high-quality solutions.

The role emphasizes modern data platforms, data quality, and DevOps practices, with opportunities to leverage AI tooling.

Qualifications

• Experience with Microsoft SQL in production environments.
• Familiarity with big data and cloud technologies: Databricks, Spark, Python, Azure services.
• Healthcare data and EDI expertise preferred.
• Knowledge of testing, telemetry, and DevOps practices.
• Experience with Delta Lake and Parquet formats in ADLS.

Responsibilities

• Develop, test, deploy, and maintain data pipelines and API integrations.
• Use AI tools to assist with development and code quality improvements.
• Translate requirements into reliable technical solutions.
• Participate in design reviews and code reviews to improve quality.
• Implement data quality checks for production data.
• Follow architectural patterns and contribute to continuous improvement.
• Monitor pipelines and resolve data issues with senior engineers.
• Document solutions and operational considerations for reuse.

Skills

Collaboration

Attention to detail

Problem solving

Education

Healthcare data experience

Tools

Databricks

Apache Spark

Python

Azure (ADF, Dataflows, Functions, Service Bus)

Delta Lake

Parquet in ADLS

Job description

Ensemble Health Partners is seeking a Data Engineer II to design, build, and maintain reliable data pipelines and integrations that support analytics and operational reporting. You will work hands-on within established patterns, collaborating with senior engineers and stakeholders to deliver scalable, high-quality solutions.

The role emphasizes modern data platforms, data quality, and DevOps practices, with opportunities to leverage AI tooling.