The Opportunity:

The Data Engineer II supports Ensemble’s data engineering strategy by designing, building, and maintaining reliable data pipelines and integrations that enable analytics, operational reporting, and data-driven decision making. This role focuses on hands-on development within established platforms and patterns, working closely with senior engineers and stakeholders to deliver high-quality, scalable solutions. The engineer contributes to platform modernization efforts while continuing to deepen technical expertise and engineering best practices.

• Develop, test, deploy, and maintain data pipelines and API integrations using established patterns and standards.
• Use generative AI tools to assist with development, troubleshooting, and improving code quality under guidance.
• Translate well-defined product and business requirements into reliable technical solutions.
• Participate in design discussions and contribute to code reviews to improve solution quality and consistency.
• Implement and support data quality checks to ensure accurate and reliable production data.
• Follow approved architectural patterns and contribute feedback for continuous improvement.
• Monitor pipelines and resolve data issues in partnership with senior engineers.
• Document solutions, processes, and operational considerations clearly for reuse and support.

• 3+ years of hands-on experience developing solutions using Microsoft SQL.
• 2+ years of experience with big data and cloud technologies such as Databricks, Apache Spark, Python, and Microsoft Azure (ADF, Dataflows, Azure Functions, Service Bus).
• Working knowledge of engineering fundamentals including automated testing, code reviews, telemetry, and DevOps practices.
• Experience working with modern data storage formats such as Delta Lake and Parquet in ADLS.
• Familiarity with distributed data processing and event-driven architectures.
• Ability to collaborate effectively with technical and non-technical partners.
• Strong attention to detail and accountability for owned deliverables.
• Experience working with healthcare data is preferred; familiarity with HL7 or EDI is a plus.
• This position pays between $101,600 - 144,900 based on experience
• Must be inquisitive and demonstrate openness to innovation including AI to explore better processes and ways to alleviate friction and improve patient and client experiences.
• This is a remote position; however, candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require.

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