À propos
Primary Responsibilities and Essential Functions of Position:
Data Pipeline & Integration Ownership • Design, build, and maintain reliable data pipelines into the Microsoft Fabric lakehouse from: EHR systems (e.g., PrecisionCare), HRIS (Paycom), Microsoft Onedrive Files, Finance systems (NetSuite) • Program-level operational systems • Partner with IT and vendors on ingestion patterns, APIs, and refresh schedules • Ensure pipelines are documented, monitored, and resilient to upstream change
Data Modeling & Analytics Enablement • Design and maintain clean, analytics-ready data models • Build and manage: • Curated lakehouse tables • Power BI semantic models • Enable self-service analytics while respecting role-based access patterns defined by governance partners • Reduce reliance on manual extracts and shadow spreadsheets
Data Quality & Reliability • Implement data quality checks (completeness, validity, timeliness) • Monitor pipeline health and resolve issues proactively • Partner with program teams to clarify definitions and resolve discrepancies • Build trust in metrics, such as service utilization, program and individual health outcomes used by leadership, funders, and regulators
AI & Advanced Analytics Readiness • Prepare data for AI and advanced analytics use cases, including: • NLP-based documentation support • Predictive analytics (health, employment, permanency outcomes) • Retrieval-Augmented Generation (RAG) architectures (in collaboration with Data Scientist) • Ensure datasets are well-structured, documented, and versioned • Support experimentation without creating one-off or ungoverned pipelines
Collaboration & Platform Stewardship • Work closely with: • SVP of Data & Innovation on roadmap and priorities • Data Scientist on feature engineering and production pipelines • VP of IT on system integrations and platform alignment • Security and governance vendors to ensure compliance-by-design • Contribute to documentation, runbooks, and onboarding materials • Help transition from vendor-led build to sustainable internal ownership
Please note this position will be a hybrid position; 3 Days On-Site Required
Bachelor's degree in Data Engineering or a Related Field Required • 5+ years of experience as a Data Engineer or Analytics Engineer • Strong SQL skills and experience with data modeling • Hands-on experience with cloud-based data platforms (Azure preferred) • Experience building production data pipelines • Comfort working with sensitive or regulated data environments • Ability to collaborate across technical and non-technical stakeholders
Preferred Qualifications • Experience with Microsoft Fabric or Synapse • Power BI semantic modeling experience • Experience supporting analytics and machine learning teams • Familiarity with healthcare, human services, education, or public sector data • Experience working in organizations transitioning from vendor-led builds to internal ownership
Benefits
At HeartShare we offer a comprehensive benefit package based on full-time/part-time status. You can expect: • Paid vacation, sick, personal days, and holidays. • Retirement plans with employer contribution. • Health, dental, vision, and life insurance. • Employee Assistance Program (EAP). • Flexible spending accounts (Dependent Care, Medical, Parking, and Transit). • Employee appreciation programs and events. • Tuition assistance program. • Professional development opportunities. • Wellhub discount • Verizon Wireless discount. • BJs membership discount. • Discounts on Broadway tickets, movie tickets, theme parks, sporting events, gift certificates & more.
HeartShare is an Equal Opportunity Employer (EOE). If you need to request accommodation during the recruiting process, please reach out to Leaves@heartshare.org.
About Heartshare
Who WE ARE:
For over 150 years, Heartshare has been dedicated to championing and empowering New Yorkers society has too often overlooked and underestimated.
Compétences linguistiques
- English
Avis aux utilisateurs
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