Principal Data Engineer

About Salud Healthcare

At Salud Healthcare, we are transforming how value-based care is delivered by empowering clinical and operational teams with data-driven insights. As a growing MSO, we serve provider groups, supporting better patient outcomes through smart infrastructure, modern technology, and people-first innovation.

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Position Summary

As Principal Data Engineer, you will lead the technical vision and implementation of Salud Healthcare’s data platform. You’ll architect and scale our cloud data infrastructure, build robust data pipelines, and ensure high-quality, compliant, and actionable data across all lines of business—clinical, operational, and financial.

You’ll work closely with leadership, analysts, clinicians, and product teams to deliver trusted data products that power decisions across the organization. This is a strategic, hands-on role for a senior technologist who thrives in a collaborative, fast-paced healthcare environment.

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Responsibilities

Architect, build, and optimize Salud Healthcare’s modern Azure-based data platform, integrating data across EHRs, claims systems, and third-party healthcare APIs.

Lead development of ELT workflows using dbt, Airflow, and Azure Data Factory to deliver scalable, testable, and monitored data pipelines.

Develop and enforce standards for data modeling, transformation, and governance, with a focus on high performance, maintainability, and transparency.

Partner with analytics and operations teams to enable rapid insights across population health, provider performance, utilization, and cost-of-care datasets.

Ensure full compliance with HIPAA, HITECH, and internal security policies, working closely with compliance and security teams.

Guide integration of structured and unstructured data from EHRs, claims, lab results, FHIR/HL7 feeds, and SDoH data sources.

Implement and manage tools for data cataloging, lineage, and observability, driving improved trust in enterprise data assets.

Mentor and support a growing team of data engineers, enabling a strong engineering culture rooted in collaboration, accountability, and innovation.

Contribute to enterprise data strategy and roadmap, aligning engineering efforts with business priorities and growth initiatives.

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Required Qualifications

5-10 years of experience in data engineering, with at least 3 years in a lead or principal-level role.

Proven expertise with dbt, Apache Airflow, and Azure Data Factory in production healthcare data environments.

Deep understanding of SQL, Python, and cloud-native data warehouse platforms such as Snowflake or Azure Synapse.

Demonstrated experience architecting and scaling data platforms on Azure or similar public cloud infrastructure.

Hands-on experience with healthcare data standards and formats including HL7, FHIR, X12 837/835, and EHR/claims data.

Strong knowledge of HIPAA compliance, PHI handling, and data governance in regulated healthcare settings.

Excellent communication and leadership skills with a track record of mentoring data teams and partnering cross-functionally.

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Preferred Qualifications

Experience working in a Healthcare Organization.

Familiarity with Power BI, Looker, or other data visualization tools.

Exposure to real-time or event-driven data architecture (Kafka, Spark Streaming).

Knowledge of data cataloging tools (e.g., Alation, Microsoft Purview).

Strong opinions on CI/CD for data pipelines, Git-based workflows, and infrastructure-as-code.