This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Qualified Health is seeking a Data Engineer to support partner integration. This isn't a role where you'll maintain legacy systems or write reports nobody reads. You'll build the data pipelines that directly power AI systems used by clinicians across major U.S. health systems — systems that help doctors identify the right diagnosis, flag patients who need intervention, and improve outcomes at scale. Every query you write, every pipeline you build, directly touches patient care. You'll work in a pod with a Director who owns the customer relationship and 1-2 peers who share the mission. The path from Senior Data Engineer to Director of your own pod is clear and real — we're growing fast enough that the opportunity is a matter of when, not if. Key Responsibilities - Build and maintain data ingestion pipelines that pull from Epic Clarity databases, FHIR APIs, and HL7 feeds into our Databricks lakehouse architecture. - Execute data quality validation and mapping verification for each new workflow deployment. - Support 2-4 health system partners as part of a dedicated integration pod. - Develop and optimize SQL queries against complex healthcare data models. - Contribute to defining reusable data transformation patterns that accelerate future partner onboarding. Qualifications - 4+ years as a data engineer building production ETL/ELT pipelines. - Strong SQL skills (complex joins, window functions, CTEs across large healthcare datasets). - Proficiency with Python and PySpark for data transformation at scale. - Experience with cloud data platforms (Databricks preferred; Snowflake, BigQuery, or Redshift accepted). - Familiarity with FHIR data models or willingness to learn healthcare data standards quickly. - Azure cloud services experience (ADLS Gen2, Key Vault, networking basics). - Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field. Desired Skills - Epic Clarity/Caboodle experience or healthcare data background. - Delta Lake, Delta Sharing, or lakehouse architecture experience. - HL7 message processing or real-time healthcare data pipelines. - Experience working in a multi-tenant SaaS environment. Technical Environment - Azure Databricks + Data Factory (plus Fabric and Snowflake integrations). - PySpark for distributed data processing. - GitHub Actions + Terraform for CI/CD and Infrastructure as Code. - Python with type-safe patterns and modern frameworks. - Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas. What Success Looks Like - High-quality data pipelines delivered on schedule with thorough testing and documentation. - Proactive issue identification with technical problems caught and resolved before impacting partners. - Reusable components that reduce implementation time for subsequent integrations. - Clean production deployments with minimal post-launch issues. - Technical credibility with partner IT teams based on quality of work. - Efficient troubleshooting with quick diagnosis and resolution of data quality issues. Impact & Growth Opportunity As a Data Engineer at Qualified Health, you'll build the data infrastructure that powers AI-driven insights for major health systems. Your work directly enables better patient care by ensuring high-quality, reliable data flows into clinical decision support tools. This role offers deep technical learning in healthcare data, exposure to diverse health system architectures, and growth potential into senior technical or platform architecture roles as we scale. Why Join Qualified Health? - Mission that matters: We partner with the country's leading health systems to safely deploy AI that improves patient care, operational efficiency, and financial performance. - Serious traction: 14+ health system partners including the University of Texas system, University of Rochester Medical Center and Jefferson Health. - Public Benefit Corporation: We're organized to prioritize patient outcomes alongside business performance. - Comp that competes: We offer market competitive base salary, meaningful equity with real upside, and comprehensive benefits. Our Commitment to Diversity Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. Pay & Benefits The pay range for this role is between $155,000 and $190,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits. Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

The Opportunity At Avèro, we guide transformation to deliver impactful results for the public sector. We are seeking an experienced Data Specialist to support enterprise transformation initiatives involving ERP and HCM platforms, including Workday. This role will focus on establishing data governance foundations, improving data quality, and preparing enterprise data for migration into modern systems. The specialist will work closely with functional leaders, implementation teams, and technical partners to ensure that organizational data is accurate, well-governed, and ready to support new enterprise platforms. The ideal candidate combines data governance expertise, ERP data experience, and strong stakeholder collaboration skills. What You’ll Do Data Governance & Strategy ● Help establish foundational data governance frameworks, including policies, ownership structures, and stewardship models. ● Support development of data governance charters, operating models, and governance policies. ● Identify and define key enterprise data domains, including finance, HR, procurement, vendors, assets, and projects. ● Facilitate workshops with business stakeholders to define governance roles, including data owners and data stewards. Data Discovery & Cataloging ● Conduct enterprise data discovery and system inventories across ERP, HCM, and operational systems. ● Develop and maintain a data catalog documenting critical data elements and definitions. ● Identify systems of record for key datasets across the enterprise. ● Map data flows and system integrations. Data Quality & Assessment ● Perform data profiling and quality assessments, identifying issues such as duplicate records, missing or inconsistent values, formatting, and validation issues. ● Evaluate the organization’s data governance maturity and recommend improvements. ● Facilitate workshops to identify high-value data use cases and priority data domains for ERP transformation. ERP & Workday Data Readiness ● Support data preparation for ERP/HCM implementations, including Workday. ● Collaborate with functional teams to define: data standards, naming conventions, validation rules, and reference data structures. ● Identify high-risk datasets and prioritize cleansing efforts to support migration readiness. Data Cleansing & Migration Preparation ● Develop data cleansing strategies and remediation plans across critical data domains. ● Support migration readiness assessments, ensuring datasets meet quality and format requirements for ERP/HCM systems. ● Collaborate with implementation partners on data extraction, transformation, and integration activities. Governance Sustainability ● Support development of a data governance roadmap and stewardship model to sustain data quality beyond ERP implementation. ● Contribute to governance processes, including data change management, stewardship workflows, and ongoing monitoring. Stakeholder Collaboration ● Partner with business leaders, project teams, and ERP implementation partners. ● Facilitate cross-functional workshops to identify data priorities, governance needs, and reporting requirements. ● Support the adoption of data governance practices through training and change management activities. What You Bring Required Skills & Experience: ● Experience supporting ERP, HCM, or other enterprise system implementations. ● Experience with data governance, data management, or data migration initiatives. ● Strong understanding of data quality management, data standards, and governance practices. ● Experience working with cross-functional business stakeholders. ● Strong analytical, documentation, and communication skills. Preferred Qualifications: ● Experience working with Workday data structures or Workday implementations. ● Experience with ERP platforms such as SAP, Oracle, Workday, or similar enterprise systems. ● Familiarity with data cataloging, metadata management, or data quality tools. ● Experience supporting public sector or large enterprise transformation programs. Engagement Details Estimated Duration: ~6-9 months with potential for extension Effort: ~20–30 hours per week Focus: Data governance foundation and ERP/HCM data readiness.

• build and monitor robust ETL/ELT pipelines using BigQuery, Dataflow, and Cloud Composer • develop high-performance SQL scripts for complex data transformations • contribute to the design and refinement of data models • proactively identify and resolve bottlenecks in data pipelines • partner with Data Analysts and stakeholders to translate business logic • participate in peer code reviews and maintain documentation

Role Description The Lead Azure Data Engineer is responsible for migration, governance, and data integration for the implementation of new Microsoft Cloud based document routing and task management system. They will ensure alignment with the technical, security, and document management requirements such as: - Leading data discovery and mapping - Validating metadata standards - Managing data migration into Dataverse and SharePoint Online - Ensuring proper implementation of retention, auditability, and role-based access controls within the Microsoft SaaS architecture Qualifications - A minimum of 6 years IT experience with focus on data integration and data migration using Azure Data Services - Must have strong experience designing data models, configuring Dataverse tables, managing relationships, enforcing row- and field-level security, and supporting workflow-driven data structures - Knowledge of SharePoint Online document libraries, metadata schemas, retention labels, records management, and large-volume document storage design - Proficiency in data mapping, transformation, validation, and migration using APIs, Azure services, Power Automate, and REST-based integrations - Experience with Azure data services (e.g., Azure Data Factory, Azure SQL, Azure AI Search, Azure storage components) in FedRAMP-aligned environments - Understanding of producing audit logging, identity integration (Entra ID), and support for records retention and legal hold requirements - Ability to structure data for Power BI dashboards, performance reporting, and AI-enabled search and discovery - Establishing metadata standards, validation rules, lifecycle controls, and ensuring data accuracy and consistency across enterprise workflows - Bachelors degree or equivalent - Must be a US Citizen Requirements - Microsoft Azure data services certifications - Active Federal Government Public Trust clearance Benefits The projected compensation range for this position is $135K - $160K annualized (USD). The final salary offered will generally fall within this range and is determined by various factors, including but not limited to the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as internal pay equity, location, contract-specific affordability and other organizational requirements.